Happy MR Podcast Podcast Series

Ep. 115 – Matt Dusig, Co-founder and Managing Director at InnovateMR

Our guest is Matt Dusig, Co-founder and Managing Director at InnovateMR. InnovateMR is a panel provider which has created the Pegasus Sample Access Platform, allowing users to employ a DIY sampling solution. Prior to starting InnovateMR, Matt has founded and harvested 3 other companies and invested in many others.

In this interview, Matt covers building successful partnerships and teams in entrepreneurship, how he determines investment opportunities that works for him, and the what InnovateMR offers: quality, price, and trusted expertise. In hearing about his background, we learned particularly about staying ahead of the curve in technology and market research.

FIND MATT ONLINE:

http://www.innovatemr.com/

LinkedIn: https://www.linkedin.com/in/mattdusig/

Twitter: @mattdeuce

FIND US ONLINE:

www.happymr.com

Facebook: https://www.facebook.com/pg/happymrxp

Twitter: @happymrxp

Instagram: @happymrxp

LinkedIn: https://www.linkedin.com/company/happymarketresearch/


Hi, everyone, I’m Jamin Brazil and you’re listening to the Happy Market Research Podcast, today my guest is Matt Dusig, co-founder and managing director at Innovate MR, Innovate MR is a panel provider who has created the Pegasus Sample Access Platform which allows users to employ a DIY sampling solution. Prior to starting innovate MR, Matt has founded and harvested three other companies and has invested in many others. Matt, thanks very much for joining us today.

[00:00:28]

Thanks, Jamin, excited to be here.

[00:00:30]

So what did you parents do and how did that affect your early career?

[00:00:34]

Yeah, that’s a great question, so my dad has always been an entrepreneur all through growing up. He owned various businesses, and I think what I learned from him was mostly from being scrappy, when you’re running your own company you know it’s do or die, you have to be creative, there’s no safety net, and he was just, and is, he’s still alive, is just a super creative person, always looking for solutions to problems, which my wife might tell me I shouldn’t be solving all of her problems, but that’s a whole different story. And I just think that that was a key motivator that he started businesses, and that it was possible to do it, that was what I was going to do also.

[00:01:18]

That’s interesting so you knew you were an entrepreneur very early on in your career?

[00:01:23]

Yeah, I had, in college I had a side business doing graphic design for just companies and clients, and that was how I made extra money.

[00:01:34]

You have a co-founder who has been with you, gosh, since your early days, right, that’s Greg?

[00:01:41]

Yeah.

[00:01:42]

Four companies together. I mean, that’s insane.

[00:01:48]

It’s actually five, it depends on how you’re counting.

[00:01:50]

I’m apparently not counting well enough.

[00:01:50]

There have been some failures in between.

[00:01:53]

Wait, say that again?

[00:01:54]

I said we’ve had some failures in between that we don’t always talk about but there have been five companies and in fact if you go all the way back to college there was a sixth company. So Greg and I, our relationship goes back to being six or seven years old. Our families were friends growing up, on the block, and so we’ve known each other our whole lives. My sister, his brother were friends, and then when he joined the fraternity I was in in college, we became best friends again and then college roommates, and it was in college that we actually started one of our first businesses.

[00:02:31]

What year was that?

[00:02:33]

Now you want me to age myself, OK.

[00:02:37]

Well, yeah, I do want you to age yourself.

[00:02:39]

That was 1989 that we became roommates together. In order to launch the business, we had to promote it, and in promoting it we went down to CompUSA or Circuit City, one of those stores, it had a 30 day return policy and we bought a fax machine, and we used that fax machine to send out promotions to different clients that we were looking to solicit and when we didn’t make enough money within about 28 days, we took the fax machine back to Circuit City.

[00:03:08]

That’s brilliant. That’s brilliant, just classic entrepreneurs.

[00:03:12]

Yep.

[00:03:13]

So 1999 you guys started GoZing [ph]

I believe, very, very, very early in not just the online sample space, but the internet in general, what was the motivation for starting GoZing?

[00:03:27]

In the late ‘90s, mid to late ‘90s of course the internet was booming, companies were going public, billionaires were being made overnight and Greg and I just looked at ourselves, we both had day jobs and we said, you know what, we should do that, we came up with this concept of doing advertising on mobile phones and at the time mobile phones could only receive text messages, so that was the only way you could send out a promotion, or we called it couponing, at the time, so you would send out coupons to your mobile phones, and we went to Greg’s mom with this concept, and his mom and dad decided to fund it, and so we decided to quite our jobs and said OK, here we go and of course we were way too early to mobile advertising at the time, probably ten years too early. At the same time while we were trying to get this business up and running we heard about a research agency here in Los Angeles where we’re located, that was interested in getting feedback from people as they were exiting theaters, but they wanted to collect the data mobile, instead of doing it on clipboards and paper and pencil and that was Shelly Zalis [ph]

and OTX and that was our first introduction to market research.

[00:04:44]

That’s so crazy to me, OTX has been, you’ve got Kristen Luck [ph]

of course who’s come out of that company, you’ve got Patrick Comer [ph]

and a few others, it’s interesting how OTX, and especially in the LA market has had such a broad, long term impact.

[00:05:03]

Absolutely, and Kristen and I joke about how in 2000 we were both in the trenches, basically doing the research and sampling project management, at all hours of the day, back and forth. My wife used to say on Friday nights that we couldn’t go out to dinner until Kristen told us we could go live with sample.

[00:05:25]

Man, if I had a nickel every time I’ve heard that, right? You’ve got to remember, so Kristen and I having worked together, in fact, she’s been on the podcast twice now, for so many years, she’s – there’s not a lot of people that have the work ethic that Kristen does, maybe say it that way, she gets it done, it’s amazing.

[00:05:47]

Yeah. Absolutely.

[00:05:49]

So fast forwarding to another start up of yours, Instantly, what technology challenges did you encounter?

[00:05:58]

Well, so after we sold GoZing in 2005 to Greenfield Online, Greg and I sat out of the industry for three years, we always knew we wanted to get back into online sampling, we felt like our job wasn’t done, and so the original name of Instantly was YouSamp [ph]

and the goal of YouSamp was as it sounds, was that you could sample yourself, and we were going to build the industry’s first DIY platform allowing research agencies to log on and access a sample companies panels, and a lot of people in the industry thought we were absolutely out of our mind, that that was never going to happen, and of course I knew looking at the trends of online ad buying that eventually online sampling would be automated and would be made DIY and/or API driven as well. And so that was the original impetus behind starting YouSamp and we knew we had to first build the core of a sampling business, we had to build technology that allowed us to procure and maintain panels and as well to run sampling projects. And only after that technology was built could we actually then layer on top of that a solution for clients to log on, and that was complex, you know, how do you price sample when a client is buying it themselves, what is they say it’s 100% incidence, but your job’s really five percent, what if the client says it’s a five minute survey but it’s really 50 minutes. Just all sorts of complexities like that that we have to solve for.

[00:07:33]

One of the interesting parts about this integrated or I’m calling it now the whole product and research, right, is the brand has a need and then they manifest that through a survey or something else, a discussion guide or what have you, that’s the methodology side of it, and then they get people to fill it out so there is a sampling component and then they have to do the analysis and ultimate reporting. So each one of these bricks that I just described through the market research process what’s happened in the last, honestly in the last probably 24 months and a lot more in the last 12 months is there’s through API there has been a lot of integration, you’re seeing it with Qualtrics [ph]

leading that charge, and other survey platforms, obviously the Zappy [ph]

model is playing out well. Do you think similar to GoZing, you guys were ahead of the curve maybe just a little bit too far with Instantly or YouSamp?

[00:08:31]

We definitely were, we were pushing a boulder up a hill, there was limited awareness about platforms, there was caution about whether the information and the data delivered would be representative and of high quality, and there’s – the sampling industry has been a little bit of a Wizard of Oz industry, there’s this giant curtain and behind the curtain there is a wizard pulling strings and I don’t think the world has really understood how sampling companies get the job done, just that they do. And so unveiling a platform that allowed a client to see all the switches, might have been a little bit daunting, but we had to educate a market so we were definitely a little bit early, now if you look at the industry we launched that platform in 2009, 2010.

[00:09:22]

Right.

[00:09:23]

So eight, nine years later, there’s probably ten platforms out there that you can log onto to buy sample from.

[00:09:30]

Yep. Yeah, exactly, right. So when you think about those lessons that you learned, the GoZing model, I didn’t actually realize that you started on mobile phone advertising and you’re exactly right, it was ten years too early, until you got real adoption and saturation in this space. Marketing research didn’t truly adopt it until about ten years ago, maybe less.

[00:09:55]

Yeah, so.

[00:09:57]

Yeah, so how do you apply that learning to Innovate MR?

[00:10:01]

Well, I think every time you start a business you have – you fail in certain ways and the only way you get better is by learning from those mistakes and trying not to do those again. So the number of times that me, Greg, and George, all the founders of Innovate, the number of times that we are looking to make a decision and we accept the concept that well, in this particular instance we might not know the best solutions, so let’s ask for some advice, let’s not just make a decision and you know, and screw it up, or we look at different scenarios and say well, we’ve done this before, we know that this – going along this path is not going to work well, because of various reasons, and so I think all of that experience over 20 years of really screwing up, has really helped us make Innovate more successful. We have had to be very scrappy, because in this business unlike GoZing and YouSamp, Instantly, we didn’t raise any institutional money from professional investors.

[00:11:11]

Right.

[00:11:12]

And so there’s been no safety net. We’ve had to be scrappy and careful and frugal. Really what the main focus for us has been around automation and efficiencies, and when we were building technology, even for our team, we count the number of clicks it takes for them to actually accomplish a goal and then we look at it and say is there a way we can remove steps and if we can, then our team just gets significantly more efficient. We actually recently removed off of sales force for tracking all of our bids and booked sample jobs and used our own internal tools for that now, and the team is just celebrating the amount of steps that were removed in the process, and so that just allows our team to be more efficient and hopefully allows us to run a more profitable business.

[00:12:08]

Yeah, I think this principle of eating your own dog food in our world, that is market research technology, is probably one of the things that has set the winners from the losers, Decipher, of course being my experience, it was entirely birthed out of my personal pain around marketing research process and just creating these short cuts whether it was a single click to a native PowerPoint presentation, right, to monitoring field and tab, efficiency gains are what has been the differentiator for companies like yours in this space, but I want to target – talk a little bit about, you mentioned advice, do you have, when you’re making big decisions or whether they’re strategic or just tactical in nature, do you get advice from the market, that is to say customers or do you have some trusted advisors, where do you go to for that.

[00:12:59]

Yeah, I’d say we, between the three founders here, we have a rolodex of people that we can reach out to for various situations, whether it’s banking and financing needs, or it’s technology questions, or operations decisions, so we all just have different people we can connect with, sometimes it’s inside the business, and sometimes it’s outside. We don’t profess to be experts in operations and sales and marketing and technology, we bring on people that we know that can facilitate whatever the need it. As founders we’ve broken up the company into divisions where our core competencies lie, so George focuses on sales and demand side, Greg’s core competency and relationships relied on the traffic and supply side of the business, while I over see technology, product and most of the corporate affairs of the business.

[00:14:04]

Do you think that delineation of responsibilities is one of the keys for the long term partnership success that you and Greg have had?

[00:14:13]

Yeah, I think it allows us to be – to not step on each other’s toes and to trust each other that I know that is Greg is the best at what he does and I know George is the best at what he does, and they trust me when it comes to technology and marketing and taking care of dealing with the lawyers and all the corporate stuff and I think when partners don’t trust each other to do the work, that’s when things start to fall apart.

[00:14:39]

You mentioned at the beginning of the conversation that you’ve had a couple failures, I think this is a really interesting topic for those who are either currently starting or have started or are thinking about starting a technology company or any company for that matter, how did you deal with that failure?

[00:14:59]

You know what, I’m a person who walks around with a glass half full. My perspective is, if you don’t try, you don’t get, so it’s OK to fail as long as you keep trying and you’ve exhausted all efforts. We have two businesses that Greg and I ran besides the three sample companies that we’ve launched and one business was in 2006, and it dealt with putting audio tours onto iPods, so that you could go to Paris and walk around the city with your iPod and go to different stops and hear a professional tour guide giving you information. Of course, this was before the iPhone, this was before GPS, and even before apps could be installed. So talk about being too early, GPS apps, location based services would all allow you to walk around with your iPhone and then the iPhone knows you’re standing under the Eiffel Tower and could actually start giving you a history lesson, so that business was just too early. We accepted the idea that it was just going to be difficult to scale, we kind of just shelved it. We had another business that in 2006 that we also were launching that dealt with online file storage, so think of the time, DropBox, and Box. net, and other online file storage solutions that were being built on top of Amazon’s S3 Storage Solution, we had investors tell us that we were crazy, that online file storage was dead, that it was never going to happen, that people weren’t going to trust storing files in the cloud, and yet we launched a business called File123, specifically to do that, and we missed the mark, we were right there at the time of DropBox and all of these other services, they were all in their infancy at the same time as us and the lesson that we had was that we built too big of a product. The product had too many features, we spent too much time in development, and the challenge was that it wasn’t what a lot of people call today a minimum viable product. It was a big giant cruise ship, and it was much harder to turn and pivot once we got client feedback on the solution, and so that was a big learning experience for us and we shelved that product. Luckily there was a business that came long called NeatReceipts [ph]

and NeatReceipts was a solution where you buy a scanner and you scanned your receipts into NeatReceipts and it produces expense reports for you. They actually wanted and online file storage platform, and they actually did buy the business from us, it wasn’t a billion dollar outcome of DropBox but at least it was better than just keeping the software on the shelf.

[00:17:39]

That’s the truth of it. That’s – it’s satisfying no matter what the exit, right. You’re right in terms of a multibillion dollar transaction would be taking on the helicopter ride, I’m still waiting.

[00:17:50]

That would have been a little bit better, yeah.

[00:17:54]

What three pieces of advice would you give CEOs of startups based on your experiences?

[00:18:02]

Well, having been what I’ve been through, with different relationships with investors across the first two sampling companies, I lean very heavily towards building more traditional businesses that have visibility around cash flow and client bases and can generate revenue, from the beginning. Well, I understand that some businesses are such a big concept that you have to go raise money, and you have to race against the competition in order to win. That’s not really something that appeals to me. So when I talked to young entrepreneurs about their business, I’m always trying to figure out if there’s a way that they can build their business, so lean and find clients that want to pay for the services so that they don’t have to raise money. So that one day, they can- if they want to raise money, then they can do it at their own terms because they’re already cash flow positive and profitable. So I don’t know what the three pieces of advice are specifically, but I try to guide young entrepreneurs that I talk to, into being realistic. Sometimes they come to me with financial projections, one, two and three years and they have this new idea for a business, they’ve maybe never launched a business before and in year two they’re going to be doing 30 million in revenue, and I just tell them to go back to the drawing board, think smaller, if not realistic, most businesses won’t do 30 million in their second year-

[00:19:26]

Or a million?

[00:19:27]

Or a million. And so, and the problem is that they base it in the amount of money that they have to raise, they based how many people they have to hire around that $30 million. And then what happens is, if they go raise money, they’re chasing cash burn and now you have a ticking time bomb. And if your investors don’t like your progress, then they’re going to oust you from your own business. And that happens time and time again, it even happened to us at uSell. We built a phenomenal business. That business was scaling very rapidly, from zero dollars in revenue, just me and Greg in the first year, to 50 million in annual revenue and 200 plus employees after five years. But surprisingly, the investors didn’t like the business. And by all accounts, it was one of the fastest growing companies in most of their portfolios, but they didn’t like it because they didn’t like the valuations of other sampling businesses at the time, and we had no control over that. You know, a big advice that I do give entrepreneurs who do raise money is, is around managing expectations and very carefully managing expectations of investors. It’s a different part of the job, than just running the business and knowing, oh I’m a sampling expert. I understand sampling and sampling platforms, better than anyone else. I’m not the greatest at managing investor expectations. That’s not my core competency. And it’s good to know, your strengths.

[00:20:51]

Yes, I’m with you a 100 percent on that. I think it goes to sort of the difference between institutional investor mentality, which is oftentimes more cautious, as opposed to the entrepreneurial. Which I mean, anybody that’s cautious as an entrepreneur is not an entrepreneur. At the end of the day, you just have to be almost data impervious, right, to step out and start something new.

[00:21:16]

Blind optimism.

[00:21:16]

Right. Yes. Well said Sir. Exactly right, blind optimism. I equate it to being, like a goalie in soccer. You have to literally believe that every time somebody is approaching to shoot, that there’s no way in hell they’re going to be able to score on you, right? And even though you’ve just been scored on three other times, it’s just like impossible. You just have to have that brain space. Blockchains coming up a lot, right? Especially in your space. Are you seeing that impacting Innovate MR?

[00:21:49]

I don’t think there’s any impact on the sampling industry yet, and I think a lot of companies are trying to discern, if it’s something real that we have to pay attention to. We joke internally here that every 12 to 18 months, there’s a new catchphrase that we’re all paying attention to. Maybe it was mobile a couple of years ago, many years ago it was AI, then now it’s blockchain. I know of a couple of companies, that are investing in different ways that blockchain can be used within the sampling industry. Either, to maintain better transparency and visibility or better pricing or to enhance quality, really understanding the nuances of buyers in this space. I’m still not yet seeing exactly where blockchain provides real value and so, I would say that we’re paying attention, but we’re not doing anything yet.

[00:22:50]

There’s so much hype around blockchain from just the automation of systems, the shortcuts there but then also, the other part of it is around the security or the comfort, that somebody is who they say they are. Like is there an opportunity for blockchain, to create improved quality of respondents?

[00:23:10]

Well, this kind of goes back to, what true sample was doing many years ago. Which is try to score panelists and provide peace of mind, to research sample buyers. The struggle there was that many of the biggest sample companies, if a billion dollars is spent in sampling the year across the industry, a majority of that call it 75% is probably represented by the big sample companies. And so if they don’t jump on board with a solution, then it becomes hard to provide kind of end to end value or, thorough value. So would sample companies being willing to put transactions into a public ledger or, a shared ledger? And those transactions were about who this panelist is, maybe without some PII, not exactly sure how PII would work with regards to that. But, are they willing to put transactional data and say, this is panelists Id, this is my panelists Id, One, two, three, four, and here’s the information about them. And then, another company B can do the same. And there could be comparisons so that everyone is- we’re trying to get to a point where, a panel can actually be scored. And say, you know what, I have a confidence because I can query the blockchain to know, that these panelists are more valuable than others, or more real than others or more transparent or consistent. But beyond that, I’m not exactly sure. I know that there are other people that have ideas, around pricing models and buying and selling of panelists within the blockchain. But I think on this one, with having had businesses like my podcast tour company or my online file storage business, or even various things we did at uSell, we were leading trends with regards to building mobile panels at the time, and the industry wasn’t ready for it. In this case, I’d rather be a fast follower. Let the market figure that out. Let other people figure that out. That’s not my core business. And if someone presents a solution that provides value to my business and to my clients, then we would love to explore it.

[00:25:30]

What is Innovate MR offering right now, that can add value to brands in market research companies?

[00:25:36]

Our primary client base, our market research agencies, they could be brands, corporations that have a research department. Innovate MR, is not a market research company. We’re a data collection and samplings solutions company. Businesses come to us to either help them program and host their surveys, but primarily to find audiences around the globe, to fill various needs. Whether it’s consumer or be with audiences, that’s our full service business, but what we’ve done with the platform that we recently released, which is called Pegasus. The goal of Pegasus is, to help brands and agencies get faster answers. And so in the same way that you can log onto Google AdWords, you can log onto Facebook ad manager or a twitter or other ads based solutions and you can log on and say, I’m looking for 18 to 34 men and women who live in California and let’s just say on Facebook like Starbucks. In the same way on Pegasus, clients can log on and do the same thing. Say I’m looking for, this demographic in this geographic with this psychographic attributes, and I want those people to take my survey. And how many people can you get me within what time frame, and much will it cost. And that’s the primary function of Pegasus today, but Pegasus is just the foundation of what could be Innovate MR in the future. If you want to build solutions that deliver faster insights to corporations, then the starting foundation of that platform has to be the delivery of audience sample, people that will actually provide those faster answers. Owning proprietary panels and then having a platform on top of it to deliver those panelists to surveys, is the first phase. The second phase of Innovate, is figuring out solutions that provide value to corporations, that can deliver on that thesis of faster answers.

[00:27:31]

What set you apart, from the other sample providers, is it Pegasus?

[00:27:37]

Well, Pegasus is definitely one of the key differentiators of the business. And having built, I’ve personally built and Pegasus was primarily built out of my concepts of where DIY sampling can go. I built seven or eight different sampling platforms, over 20 years. And so like we were saying earlier, when you build something and you screw it up, the next time you build it, you do it better, but then you screw something up. And so I think with Pegasus, we’ve really built a solution that solves a lot of the problems of the past and provides great value. So that’s a key differentiator. But I think that experience, there aren’t many founders or CEO’s in the sampling industry that have done it three times. And I have been doing it for 20 years. So if you look at the leaders in the sampling industry today, there’s probably only one other company whose leaders have been doing it equally, as long as us. So I think that experience and know how, is what is delivering success for our clients. Whether it’s through Pegasus, some threats are before full service sampling. Getting the job done, really comes down to experience and know how.

[00:28:45]

So are you seeing that as really buckled the trust factor, as one of the big drivers for the marketplace?

[00:28:52]

In order to provide good value and good quality, we can’t be the cheapest, and we don’t want to be the cheapest. There are solutions out there that are perfectly cheap, and you can go there and you get what you pay for, but I can’t provide the handholding that client’s needs at the lowest price. I also can’t build and buy the highest quality panels if I’m also the cheapest, but not the most expensive. Innovate is kind of a mid priced sampling company. We are aggressively creating proprietary panels, and that has a cost. If you’re business that’s just brokering or reselling other people’s panels, then that’s just an arbitrage play where you can make pennies on the dollar, and kind of buy and resell someone else’s panel asset. But we’re building this panel site called, Point Club. It’s actually on its second version. We call it internally Point club Two panel. But we’re inventing right now, and developing a third version of it, Point Club three point out. That really takes user experience to the next level. I think we all know that surveys are not easy, they’re not necessarily fun either. And while we like to think that people take surveys just to give their opinion, that’s really not the case when it comes to online sampling and online panels. People are doing it for rewards. Now, if you’re a frequent flyer of Delta and they send you a survey over email, and they want your opinion about a recent flight, yes, you’re going to do, you’re going to provide that survey because you believe in that brand and you want to provide feedback, to make the brand better and you don’t need a reward for it. But when you’re doing anonymous surveys for corporations and research agencies around the world, it’s all about the reward. And so, we’re building a great panel site. We can only control the experience before someone takes the survey and after they take a survey. And in order to create that great experience, it costs money. And when we do that and invest that money, it creates a better panel asset. And when we create a better panel asset, we believe that it provides better quality and better value, for our clients.

[00:31:03]

Yes. I feel like there’s tension right now in the market between the automated sample deployment piece, which largely blinds the ultimate consumer, the insights, data quality in favor of CPI versus what you’re describing, which is a higher, probably a higher level of service, much higher level of service and presumably higher level of quality in the sample, given that you’re paying more on the incentive side.

[00:31:29]

Yes, absolutely. And I don’t know if there’s even tension. I mean, I’m a huge believer in automating between different samples supply sources, at least on our team recently launched a blog series called, The dirty little Secrets Of Sampling. But the secret of sampling was always that, you would go to sample company A and they would then in order to facilitate enough sample and fill the quotas of the client, they would have to go to traffic company B, C, D and E, in order to get enough traffic screened, in order to find those audiences. And that was in the old days of sampling that was done over email. Email traffic company B and say, hey, can you deliver me 100 completes? I can only pay you a buck 50, that’s my budget. And they deliver traffic through your system, off to your client’s survey. Now, that whole process has been automated. I think nowadays clients are more concerned with- most clients are concerned with getting their quotas filled, at a reasonable price, on time and to a level of quality that they feel comfortable with. So of course, we always try to use our proprietary panel first. We’re investing in it and aggressively building it. But any sampling company that tells you that they don’t use partner traffic to help fill quotas, is not being truthful because I know everyone in the space and they all do it. And all we’ve done with automation is by streamline the delivery. And streamlining delivery, has actually meant that we can bring our prices down for our clients. So there’s been a benefit to clients, by automating delivery of traffic. And then, how each sampling company screens that traffic and provides layers of quality, before delivering that person into a survey. Is the nuance that allows a client to think, believe that you’re delivering quality.

[00:33:37]

Yes. One of the trends I’m seeing, with especially startups that have been in place for the last maybe 24 months, if visible in the last 12, is that they have their proprietary panel, right? So it’s like they’ll have a million people in the US. You launch your project through their system, their people take the survey or participate in the exercise or session or whatever it is, right? But in a lot of times, that’s happening in a faster time frame than in what would be necessary in traditional surveys. Are you seeing this as a channel strategy partnering with these types of companies, or is this not even a trend, that I’ve incorrectly recognized? Shouldn’t be the first time, by the way.

[00:34:18]

I am seeing a lot of businesses pop up that have different use cases, whether it’s polls or surveys or different types of chat solutions, that on this site they say that they have millions of access to millions of panelists. And the first thing I think of is that, they’re probably buying panelists from companies like mine or other marketplaces that exist, in order to find those audiences. So the evolution of creating automation around the delivery of panelists, whether it’s a marketplace or it’s a sample company like mine selling access to a panel, it means that businesses can create new and unique solutions on top of that foundation, but then sometimes they promote the panel as though it’s their own. And I tend to think that, a lot of those businesses are accessing third party sample, through automated sources.

[00:35:12]

My guest today has been Matt Dusig, Co founder and Managing Director at Innovate MR. Matt, thank you very much for your time today.

Happy MR Podcast Podcast Series

Ep. 114 – Alex Gelman, CEO of mTAB

Today, my guest is Alex Gelman, CEO of mTAB. mTAB has a platform for integrating and analyzing data so that brands make the most informed business decisions. Prior to founding mTAB, Alex worked as business consult at McKinsey and KKR.

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FIND ALEX GELMAN ONLINE:

LinkedIn: https://www.linkedin.com/in/alex-gelman-2373034

Twitter: @Alex_Gelman

mTAB: https://www.mtab.com/


[00:00:00]

Hi. I’m Jamin Brazil, and you’re listening to the Happy Market Research Podcast. Today, my guest is Alex Gelman, CEO of mTAB. MTAB has a platform for integrating and analyzing data, so that brands make the most informed business decisions. Prior to founding mTAB, Alex worked as a business consultant at McKinsey and KKR. Alex, thanks very much for being on the podcast.

[00:00:24]

Thank you so much for having me, Jamin. It’s great to be here.

[00:00:27]

So I don’t think a lot of people in the industry know much about you. I thought it would make sense to maybe look kind of at your early days. Could you tell us a little bit about your parents, and how they affected your career?

[00:00:39]

Sure. So my parents are immigrants from the former Soviet Union. They immigrated to the–to the States, and as good Soviets, they were both engineers by background. In the US, my mom was an engineer at a hospital, a plumbing and HVAC engineer, and at nights and weekends was a real estate agent, and my dad built houses. He had a small construction company where we lived, and with his bare hands and a–and a few workers, did house renovations and built houses with his bare hands.

[00:01:13]

It’s interesting–and so the entrepreneur elements of how–sort of your DNA, I guess, clearly started from them as an example.

[00:01:23]

Oh, absolutely. So hard work was always–was very much the immigrant mentality, and very much the American dream. I mean, they came over with nothing, worked hard, and were able to provide my family, my brother and I, a very lovely middle-class life. And so hard work was always drilled into us, and then math. Like very good executives, they had a clear KPI and it was one KPI and that tracked, and that KPI was our math scores. So I was–my brother and I were always pushed to have great math scores. And here’s a–here’s a–one little anecdote that you will–you’ll appreciate. They used to drive around–they used to put me and my brother in the backseat of the car, and drive to not particularly–I grew up in Long Island, right outside of New York City, and they would drive to not particularly nice areas in New York, or not very high-income, and tell us, “Would you like to live here?” And my brother and I would say, “No, no, we don’t want to live there,” and they’d say, “Well, this is where you live if you don’t do well in school.” And then they would drive–I’m not making this up–and they would drive then to, you know, the north shore of Long Island past the mansions, and say, “Would you like to live here?” And we would say, “Yes, we want to live there,” and they’d say “Well, this is where you live if you do do well in school.” And so math and hard work were always drilled into us, and now my brother runs a quantitative hedge fund and I’m the CEO of a data analysis company, so I guess it worked.

[00:02:50]

That’s so funny. My best friend is from Romania. His mother moved him and herself here when he was in seventh grade. The culture–he didn’t actually speak any English at that particular point in time, and then moving right at that middle school period, which is such an inflection point for, you know, everybody, but, you know, for him, even more so, he has that exact same mentality in terms of his work ethic, and how he has really bootstrapped–like 100% of bootstrapped his life. And, I mean, this year, he’s going to make–I can’t tell you how much, but he’s going to make a lot more money than I’m going to make, how’s that? And it’s just predicated on his work ethic. I’m hearing a lot of narrative nowadays around how the Internet has created clear access or opportunity for everyone across–and getting rid of really the socioeconomic opportunity that has traditionally existed for wealthy kids, or kids of wealthy parents, because it was a lot–in those days, it was a lot of, you know, who my parents knew, that basically got me into that job. And now, because of the Internet and having direct access to markets, it’s–you know, you’re seeing a lot of hustle coming out of kids who don’t have very much or nothing, except maybe a cell phone and Internet access.

[00:04:14]

Yeah, that–I agree with that. Look, there’s a lot of luck, too. I was lucky to have been born a white male in the United States. I was lucky to have been born with two parents who valued education and loved us. So there’s an element of–you know, you can’t deny the element of luck, but yes, the value of hard work and hustle was absolutely driven in to us at a young age, and I think today’s world makes it possible that if you do work hard, you really could–in a–in a place like the US, you could really achieve whatever you want.

[00:04:51]

For sure. So McKinsey, KKR, big deals. How did you wind up in those large consulting organizations?

[00:05:00]

So coming out of college, I knew I wanted to go to a–work at a large consulting firm, largely because I viewed my 20s as more education. So I wasn’t really looking for a job, I was looking for business boot camp. I knew I wanted to go run a business some day, and I just thought, you know, my 20s is the time to learn. Quite frankly, with both of those jobs, and I’m not going to go back and tell them this now, but, you know, they could’ve paid me nothing and I still would’ve taken them. It was just a fortunate coincidence that they paid me, largely because I was going there to learn, as I viewed my 20s as a launching pad for the rest of my career. So my first job, McKinsey, was, I just wanted to learn Business 101. I went to Dartmouth where I was a philosopher major, and economics double, but, you know, liberal arts major, didn’t know anything, and so I went to McKinsey to learn Business 101, and there I really learned the value of how to talk to the C-suite. It’s something that consultants are excellent at that market researchers actually could really learn from consultants. And then I went to KKR to learn how to talk to investors and boards and capital owners, which is a very different language than talking to the C-suite. And so those first years were really formative, and I was very fortunate to have some of the best business education in the world.

[00:06:30]

So then how did you wind up in marketing research?

[00:06:33]

So honestly, luck, random. So after KKR, I went to business school at Stanford and I started a–essentially a small private equity fund. It’s called a search fund, is the concept. But essentially what I did is I knew I wanted to run a company, but I didn’t have any good ideas on a company to start. So I figured, “Gosh, there’s some probably really great companies that are out there that are already being run, and I would love to scale them and take them to the next level, and so let’s go and buy these companies and grow them as opposed to start something from scratch.” The problem was I didn’t have the money to go buy a company. So I made a deal with essentially five of my professors and then 20 of their wealthy friends, and the deal was as follows: why don’t you guys pay me a little bit of a salary, not a lot, just enough for me to live and eat indoors, and I will go travel around America for two years, and I’m going to look for a really good company to buy. And if we find a company that we all like, you guys put up the money to buy the business, and I’m going to move there and become CEO. I was not necessarily looking at market research. I was looking at lots of different businesses. They had lots of–we had various characteristics of businesses we were looking at, and I really love data and analytics businesses, but honestly I stumbled upon mTAB, fell in love with the business, fell in love with the industry, and said, “This is it. This is the one.” And so the investors put up the money, we bought the business in May 2015, and I moved from New York to southern California, and I’m still here, three years later.

[00:08:17]

Not exactly in line with our normal conversation, but what would you see–you know, going through that process, what was like the plan B if mTAB–like, was there–was there another business that you thought, “Eh, this–if mTAB doesn’t work out, this is next in line”?

[00:08:34]

So I was towards the end of my search process. There were actually a couple of other businesses that we looked at before mTAB, and we walked away because they weren’t–for whatever reason, we decided that they weren’t the right business for us. There was no plan B after mTAB, actually. We were–we were on our last dollars, when we were working with mTAB, and I don’t know, I guess I would’ve either gotten a job, or tried something else entrepreneurial. I doubt I would’ve gotten a job. I–the entrepreneurial bug had bit me, and I was pretty set on starting something or buying something.

[00:09:12]

I–the few interactions that you and I have had inside of the industry over the last few years, I would–I would concur, from a character perspective. A CEO is a CEO, you just can’t help it.

[00:09:22]

I don’t think I’d make a very good employee. I feel bad, because I have very different expectations of my–of my teammates, but I don’t–I–Lord help the person that I have to work for, so.

[00:09:38]

Let’s talk a little bit about mTAB. What is the core offering, the value prop? And who is your target customer?

[00:09:45]

So we help market researchers analyze, visualize, warehouse their mark–all of their data. Within large Fortune 500 companies, we act as the single source of truth for the market research or consumer insights departments. We also work directly with large market research firms, as well as small market research firms, but really our target audience is the big global enterprise dealing with lots of disparate market research data, and needing a way to get their hands around it.

[00:10:20]

This goes back a few years, about six, but I was helping Visa, I was on a small committee, working with the CMO at the time, on their data strategy. And through the discovery process, I identified that they had 13 NPS studies going on simultaneously, and the end result of that was, I mean, obviously, costly, but more impactfully was that you’re getting variance on the data by data source, and because there wasn’t this complete view of–or single source of truth, it was creating confusion in terms of, you know, what companies–what the company should actually do. Is that–is that a good example of a company that should’ve used you at that point in time?

[00:11:11]

Oh my goodness, that’s a perfect example, and you can come work for us as a–as a head of marketing, if this podcast–if this podcast thing doesn’t work out for you, Jamin. I mean, that’s spot-on. So when we were doing diligence on mTAB, I’m a–I’m a pretty diligent person, and we met with about 60 customers before doing the acquisition. And when I asked, “Why do you use mTAB?” and I kept asking “Why do you use mTAB?” to customers, and they–and here was the modal response, which is: The data is always right. Before mTAB, there’s spreadsheets sitting on 13 different computers, and you know the intern last year did something with the variables, but you forgot what exactly it was, and the Japan file is sitting over there and it’s not connecting to the Argentina file for this reason, and it’s a disaster, and nobody trusts the numbers. Once it goes into mTAB, it is–it is fact, and so–that’s what folks need, they need the single source of truth. They can’t have SPSS and Excel files on different people’s desktops and sitting in different data vendors’ proprietary tools. So what we do is we suck up all of that data, all the regional data and all the trended data, and all the different studies from data vendors, and we put it into one easy-to-use tool, so that there’s no debate about what the numbers are. And you can move onto the more interesting things like analysis and insights and storytelling, which is what market researchers ought to be doing.

[00:12:47]

So the–so there’s a couple things I want to piggyback on. I don’t want to lose sight of the importance of story, but before I get there, I viscerally connect to that. I know that, you know, as a primary researcher even back in the ’90s, we would conduct research, and then you would wind up with–you know, you’d of course do a bunch of analytics on that data, and if you have multiple analysts going through it, or even yourself and then some time passes, and you go back to reference, “Oh, which one is my–is the correct SPSS file?” or whatever data format you’re using at the time, it can get–confusing is an understatement, and there’s a lot of rework and even risk associated with using the incorrect or not-final data file.

[00:13:30]

Oh, absolutely. And we make sure that–that’s one of the services we provide, is that once a file goes up into mTAB, that’s it, that’s the final file. Which is why we are so rigorous about doing lots of process checks here, is we have to have 100% accuracy, because once it’s in mTAB, it has to be right, because that’s the value proposition that we’re selling to our clients.

[00:13:51]

The other part that you talked about is the story. I’ve heard this a lot lately, most recently by Rozhie [ph] of LinkedIn, and then Edwin Wong of Buzzfeed, story trumps numbers. Not in the way that–you have to have the numbers, and the numbers have to be right, nobody’s saying anything different. But the way that the people connect with the–the people being inside of the organization–connect with those numbers isn’t through a pie chart, it is through a narrative that is being built out in the organization, and that the more compelling that story, the more the organization is willing to adopt it and then make the necessary changes. Are you seeing in your customers these types of trends?

[00:14:35]

Absolutely. That’s why they–that’s why they come to us, is they don’t want to spend any more time mucking around with the data. They realize that that is something they should outsource to somebody else. They should outsource the merging together of data files, and they should be the ones focused on building out the story. And so when our customers interact with our software, they already–they–in an interactive dashboard, they press a few buttons, they export it to PowerPoint–they have a native PowerPoint–and they just build onto that story right away. And so when you look at–when you read something like the Grit Report, and you look at the amount of time that market researchers are spending cleaning, shaping data, and building PowerPoint slides, it is crazy. It’s crazy. They need to be thinking and developing new experiments and syndicating the story, writing the story and then syndicating it out throughout the organization, not mucking with data and building PowerPoint slides. And unfortunately too many market researchers are still doing that, because they don’t have a good grasp on the data, because they’re using outdated tools and methods.

[00:15:45]

That’s so funny. I’m really believing that that’s such an important message for market researchers to hear right now, and that is historically we have spent between 80 and 90% of our time simply doing research logistics, and now we’re at the stage where we need to be inverting that, and spending maybe 20% of the time or less on the logistics, and a lot more in the added value and uncovering the why, and then the–and then helping the client develop that story that is compelling, and that can be adopted inside of the organization.

[00:16:19]

Well, just [INAUDIBLE] table stakes now. It’s just table stakes, and the tools are just making it easier and easier that the C-suite doesn’t want to hear, “Oh, we spent a lot of time on logistics.” They just want to know the answer.

[00:16:32]

Exactly. So what three lessons did you learn as a management consultant that helped you–are helping you with the strategy of mTAB?

[00:16:41]

So it’s funny that you asked the question that way, because as a management consultant, I’ve been [INAUDIBLE] to create buckets, and typically I create buckets of threes, so my team always makes fun of me, because I always say, “There’s three things here.” So what three lessons did I learn? Well, you know, this is one that I thought about–it’s interesting you ask that question, because I’ve been thinking about this a lot for the last three years, because when I was a management consultant, we’d often come into companies, and we’d–there’d always be–there would often be comments of, “That’s not a new answer. Why’d they hire McKinsey? Why’d they hire Bain or BCG? They should’ve just asked us. You know, we knew that answer,” and internal departments, very often the market research department, would get frustrated that management hired these consultants to come in for millions of dollars to give them the answer that the market research department already had. And they thought, “Oh, you know, this is–this is–this is just garbage and nonsense that they’re hiring the consultants.” And, you know, I actually feel bad for the researchers, because they’re kind of right. They’re–they had the data all along, they had the answer all along, but they weren’t being listened to. So I’ve been spending a lot of time thinking about, “What did we do–what did I do as a management consultant, what did we do at McKinsey, that we can take some of that and infuse it into the mTAB product, to empower market researchers to have a seat at the boardroom table, just the way the consultants do?” So there were–there are three things that I think that consultants do really well that market researchers can learn from, and that we’ve tried to take and infuse into the mTAB product. So number one, storytelling. So we talked a little bit about this, but I think it really is worth mentioning again. Consultants don’t just come in and say, “Here’s your data.” They come in, and they say, what was the situation, what’s the complication, what’s the resolution? Typical structure of a story. And they give an answer. So they don’t just deliver a 180-page deck that’s full of data and says, what are all the respondents said, and every variable by every single cut. They pull a select slide, and they build out and they tell a story. Number two, they’re hypothesis-driven. So I find that too many market researchers boil the ocean. And by that I mean, they get a data file, and they go, “What does the data file say?” Consultants who are hired at obscene rates for 10-week periods don’t have time to do that. So instead they come in and they say, “Here’s a hypothesis I have, and here’s what I’m going to test,” and they still go about it in a–in a scientific way. They run a–they have a hypothesis, and they test it, and if they–if the hypothesis fails, they’ll reject it, and they’ll take a new one, but they don’t boil the ocean and say, “What does the data say?” but they run tests. And the third thing I think that consultants do really well that market researchers can learn from is they break down silos. When you go and you hire a Bain or a BCG or a McKinsey, they’re flying around the entire organization. You know, they have access to all the data, and they have access to every department, whereas market researchers, I’m still surprised by how siloed they are, and even within the market research department, you have one person that’s doing–working with syndicated research data one, and another one is working with syndicated research data two, and a third one that’s working with proprietary data, and when you ask them, “Well, how are you looking at your–the cohesive set of knowledge?” they go, “Well, that’s not my job. I’m only the Cantor data person, or the GFK data person, or the Qualtrics expert. I don’t look at the cohesive set of knowledge.” And so I think market researchers are doing themselves a disservice. So what we’ve done is try to infuse some of that value that consultants bring into the mTAB product to empower market researchers to be really internal consultants within their organizations. So all of the hard work that is the table stakes that we talked about before, we take that off of clients’ hands. We have a–we have an analysis and insights department that will bring together lots of different data sets from across time and across geography and across different data vendors. We’ll put it into one tool, we’ll visualize it, and we’ll do it across all of the departments and all the sets of data, so that a market researcher can come in and just say, “What do we know about X?” and see the answer across the entire suite of knowledge, and then instantly, at their fingertips, be able to export a PowerPoint slide that’s already designed for them. That really is the power of what we’re trying–what we’re trying to do here, which is really empower the market researcher, because they are–they’re such an important and critical voice within the org–within these larger organizations, and it’s a voice that I think has gone a little bit quiet as there’s louder people out there shouting, but it’s often that quiet knowledgeable voice that has the right answer. So it’s our goal to empower the market researcher to raise their voice and be heard throughout their organization.

[00:21:54]

It’s a lot of context that’s missing from primary market research that you’re providing the customer. So when I think about all the projects that I’ve done, the thousands that–and that’s just because I’m old–that I’ve done, most of the time, I am dealing with, to your point, a siloed dataset from which I then think come up with, derive, and answer. But you’re absolutely right–God, it’s true, the millions of dollars I’ve paid consultants to answer questions for me, and they’ve only polled 60 industry experts or what have you, as opposed to the thousands that you might see in a normal study, and they’re coming up with meaningful–and the way that they’re doing that is this triangulation of context, where the business is right now, and then the primary research. So it is the case that they’re incorporating this syndicated data, but they’re also doing–adding the storytelling and qualitative elements on top of it. And I think you’re absolutely right, there’s a ton that we can learn as researchers to help uncover and address the why, and really make impact inside of the organization as opposed to being more in this defensive role that I think a lot of researchers find themselves today, where they’re trying to be the protectors of the methodology.

[00:23:14]

Our goal is to empower researchers to go on the offense. Our most impressive clients, what they’ll do is suck in various forms of syndicated data, and not just one set, but two or three sets, so that they’re the experts. There’s so many market researchers I ask, and I say, “How are you analyzing and double-checking the data from your market research provider?” And they go, “Oh, I ask them for cuts of the data.” And they’ll wait a week for a cut of the data from their syndicated data provider. That’s crazy. You have to–you have to have your hands around the data. So our best clients, they’ll suck in data from three different market researchers, then they’ll link that data set to their front-end survey, whatever they use, let’s say Qualtrics, and then they’ll pull in their proprietary data, just as you said, and overlay that, and then they’ll have a view of, “OK, with all of the data we have, let’s triangulate from the syndicated data to our own proprietary data to our sales and marketing data, what’s actually happening.” And those are the most impressive market researchers I see, and they–we have some of those as our clients, and those are the ones I’m most impressed by.

[00:24:20]

So I always end the interview with an opportunity for you to either inform the audience on something that you’ve got, like an offering that you have, that you’re particularly excited about, or, you know, some other key insight. So what is it that mTAB has to offer right now that can add value to brands?

[00:24:38]

I think we talked a bit about that.

[00:24:40]

I think you might be right.

[00:24:43]

I think–I think–I think we talked a bit about that, but I think that two of the more–the bigger things that we’re working on right now, we’re really spending a lot of time on our data visualization platform. We’re trying to make it easier and easier and easier for people to get to the numbers. But in a way, they still have the feeling that the data is accurate, and they can still work with complex data. There’s too many visualization platforms out there that A, are just not suited for market research, or B, just dumb it down too much, and aren’t really sophisticated enough to deal with 22 geographies and 10 years of history and four different data vendors. So we’re building on an incredibly sophisticated data visualization platform that still is incredibly intuitive to use. That’s one of the things we’re most excited about, and on the back end side we’re building out more and more connectors to this front-end survey tools. So whether you’re using a Qualtrics or a Decipher or a Confirmit or SurveyMonkey or just have raw SPSS files, we don’t care. We want you to be able to plug in all of your sources of data and get it into your data warehouse so you can operate from that single source of truth.

[00:25:57]

Interesting. My guest today has been Alex Gelman, CEO of mTAB. Alex, thank you so much for joining me today.

[00:26:03]

Thank you, Jamin.

[00:26:05]

Have a great day, and thank you, everybody who’s listening. How are the levels? Testing, testing, testing. Yeah? Are we recording? Hi. I’m Jamin Brazil, and you’re listening to the Happy Market Research Podcast. Today, my guest is Alex Gelman, CEO of mTAB. MTAB has a platform for integrating and analyzing data, so that brands make the most informed business decisions. Prior to founding mTAB, Alex worked as a business consultant for McKinsey and KKR. Shit. There are–today, my guest is Alex Gelman, CEO of mTAB. MTAB has a platform for integrating and analyzing data, so that brands make the most informed business decisions. Prior to founding mTAB, Alex worked as a business consultant at McKinsey and KRR. Alex, thanks for being on the podcast today. Hi, I’m Jamin Brazil, and you’re listen-

Happy MR Podcast Podcast Series

Ep. 113 – Reflecting on the Interview with Ryan Barry, CRO of Zappi

In this episode, Alexandra and Jamin breakdown some of the key points of the interview with Ryan Barry, CRO of Zappi. In particular, they cover some pitfalls to avoid in consulting firms, the power of Zappi’s company culture, and the opportunity that tech brings to market research as well as the greater responsibility on researchers to bring analysis.

FIND US ONLINE: www.happymr.com

Facebook: https://www.facebook.com/pg/happymrxp

Twitter: @happymrxp Instagram: @happymrxp

LinkedIn: https://www.linkedin.com/company/happymarketresearch/

FIND RYAN BARRY ONLINE:

LinkedIn: https://www.linkedin.com/in/ryan-barry-8354036/

Twitter: @RyanBarry401

Zappi: https://www.zappistore.com/web/

Happy MR Podcast Podcast SeriesLeave a Comment on Ep. 112 – Ryan Barry, CRO at Zappi

Ep. 112 – Ryan Barry, CRO at Zappi

Ryan breaks down how tech is transforming market research. While technology has removed some of what market research held at the center of it’s offerings, Ryan shows how tech also presents fertile new grounds for opportunities. With a focus on bringing the industry into the offensive, to take advantage of these new opportunities, Ryan shares a bit about how Zappi is implementing new tech and business models now. He also shares with us a bit about his background and some of the lessons he’s learned through his career.

FIND US ONLINE:

www.happymr.com

Facebook: https://www.facebook.com/pg/happymrxp

Twitter: @happymrxp Instagram: @happymrxp

LinkedIn: https://www.linkedin.com/company/happymarketresearch/

FIND RYAN BARRY ONLINE:

LinkedIn: https://www.linkedin.com/in/ryan-barry-8354036/

Twitter: @RyanBarry401

Zappi: https://www.zappistore.com/web/


[00:00:00]

Hi. I’m Jamin, and you’re listening to the Happy Market Research podcast. Today I’m joined by Ryan Barry, chief revenue officer of Zappi. Founded in 2013, Zappi partners with leading research companies like Kantar, MMR, and BuzzBack to turn their methodologies into insight products. These products are used by the likes of McDonald’s, Amazon, and Verizon. Prior to joining Zappi, Ryan worked at Lightspeed and has founded a nonprofit that engaged millennials in charity work. Ryan, thank you very much for joining us today.

[00:00:30]

Thank you so much, Jamin and Alexandra, for having me. It’s my pleasure.

[00:00:34]

Well, we’re really excited. I have been following your company closely, you know, since your launch in 2013, really since you joined in two-thousand and-I think it was fourteen. But before we get into ZappiStore and the work that’s happening there, I’d love to start with your roots, you know, background in marketing, of course, and then later you graduated with a marketing research degree, your MBA, I think, from the University of Georgia. Why did you choose marketing research?

[00:01:02]

It’s a good question. So I was a bit of a-I guess you’d call me a late bloomer. So I was raised by two beautiful parents who hustled to make ends meet, so, you know, that’s how I sort of came up. And early in grade school, in middle school, whatever, I was always selling something, I was always marketing something. And I didn’t know that at the time. And I also spent too much time in high school probably having fun, so when I got to college I was a bit of a-you know, what am I going to do. And I started taking these business classes. So I just loved marketing. And, you know, the plan was Madison Avenue, and I’m speaking metaphorically. I thought I was going to go work at a big ad agency and be a planner. And, anyways, right before I graduated university I got an opportunity to design a program for the Market Research Association. So this is a long time ago before the merger, all that fun stuff. And I went to the MRA New England conference, which oddly I was the president of like ten years later, and I fell in love with it. And I met some, you know, early days fairly senior employees at a company called GMI, which was founded in ’98 by Rob Monster, which eventually became Lightspeed. And I decided to join and haven’t looked back since. And I decided to join frankly, Jamin, not because of market research, but because I was able to join this sort of not-quite startup but business that was still figuring it out and at an early age I just got access to do a lot. And then the economy crashed about three weeks after I joined. So then, you know, I was right out of school doing a ton of different work that I had no business or experience doing, but the amount of learning I got in those early years was just unbelievable. And then as I started to grow I realized I work with people and I study people-what a cool place to earn a living. And so now I do consider myself part of the community. I mean, I don’t think I’d ever leave this industry. It’s-I mean, the amount of friends and people who I respect that I’ve learned-that I’ve got to know along the way are-I mean, there’s just so many of them. So, yeah, probably like most others, Jamin, by accident.

[00:03:10]

So you were part of GMI. Was that when Rob Monster was CEO?

[00:03:15]

It was just around the time he was leaving. It was at the time when the company, they were going to bring in sort of private equity leadership to hedge the losses, kind of focus on growth, understand core competency, and so when I got there the company was a software platform, a panel company, had some full-service capabilities. There was quite a few product offers, and within that first year it was, “Oh, wow, we have this thing called a panel asset. It’s very profitable, and maybe we should just do that.” And so I was kind of part of- Well, I was a consumer of that pivot, if that makes sense.

[00:03:49]

What’s really interesting about that, Rob Monster’s vision was this-He even coined the term data ecosystem, Microsoft being one of his largest contributors. In fact, I even think there was C-level executive of Microsoft that was sitting on GMI’s board in those days. And the vision, this is early, right? I mean, this is early 2000s when it started taking shape. The vision that Rob had was to bring about a holistic approach to research where a company like Microsoft would be able to create almost an insights product similar to, in a lot of ways, what ZappiStore is doing today. Did that-Did those early days help inform your decision on joining ZappiStore?

[00:04:37]

You know what? I wasn’t there early enough. But I’ll tell you something with my experience at Lightspeed did. So I was-I used to manage the southeast business. And then I started looking after a lot of-this is now still pre-merger-a lot of the enterprise accounts, and we were trying to figure out how does a company who programs surveys and provides access to sample add value in the enterprise. And I partnered with Marketing and Planning Systems, which is now part of Kantar, and we had this really cool program, which you probably know about because it ran on the Decipher platform, where we basically built this ecosystem of tracking quick-hit surveys, ad hoc surveys, for Walmart. And it was this awesome program, and we ran it for-I mean, it was-It’s no longer a thing, which is why I’m now publicly talking about it. It’s a really cool ecosystem, and it was the beginning of-We sort of thought of this way to do research on demand before it was really a thing. And so it was that thinking. I said, oh, there’s-you know, there was a very high-performing program for us when I was there, and I said, oh, there’s something to this. That eventually I looked back at and laughed, and I said, “Oh, that’s-that was sort of some type of Zappi thinking before Zappi was a thing.” The reason I decided to join Zappi was I was doing a couple of projects at night. I had a dog business with my wife, a nonprofit. But I felt like I had learned everything I was going to learn doing what I was doing. But I didn’t want to go work on a widget or a toy, and I think there’s a lot of-I was listening to your and Merrill’s [ph] interview earlier this morning, and I think the conversation you guys were having about the eight-year-old kids chasing the soccer ball left and right, I mean, there’s a lot of that that goes on. And so I wanted to make sure my next step was something that could make impact. And the idea of what Steve was trying to do with Zappi, while raw, you could see it. You could see where this could go and the potential. And so then what really made me decide to join Zappi was Steve. I met him; we hit it off right away and realized the two of us have extremely complementary skillsets. And so, you know, Steve is now one of my really close friends and we work so well together because of that complementary nature. So it was, you know, the ability to build a business the right way with somebody who I believed in working with that was really what got me here. But I just saw the opportunity, if we execute it, of what this business could be.

[00:07:14]

That’s really interesting. Did you work with the Hummingbird product for project management inside of GMI?

[00:07:21]

I did. That was a-I mean, that could have been its own company.

[00:07:25]

Yeah, just for a little bit of inside baseball, I was selling into-selling Decipher into then GMI. As GMI went through its re-org, one of the assets that emerged that was very interesting was this Hummingbird product, which is this very sophisticated CRM that supposedly-and I didn’t interact with it directly-but had broad-reaching application even outside of market research.

[00:07:55]

Yeah, it was pretty clever. Tom-If Tom Ottersburg[ph] is a subscriber of yours, I’d shout out to Tom, because he was one of the architects behind it. But you could run the whole life cycle through it. So I came up as a project manager. And so you could like-you could see every element of the project in this system, and it was-I think it was one of the things that when Kantar eventually acquired GMI it was one of the main assets besides obviously the panel base. So when I came to Zappi and, you know, like most startups you start running your CRM out of Excel files for a couple years and then, of course, like most other companies, we then get it to run in Salesforce. There was definitely a few days where I was, like, “I wish I still had Hummingbird.”

[00:08:38]

That’s great. So, in those early days at Lightspeed, were you predominantly focused on sales?

[00:08:44]

No, I got into sales because I always wanted to run a business. And Dan Fitzgerald [ph]-I have a lot of mentors in my life. Dan Fitzgerald was running their commercial business at the time, and I always had a good relationship with him. And I had spent the first couple years just doing project management, account management, and I wanted to learn. You know, I think work is mostly about learning, you know, so I’m trying to learn every day. And I felt as though I wasn’t going to learn much else executing work, and I wanted to get another lens on the business. And if I was eventually going to try to run a PNL, I thought having a number, having a quota, being responsible for the commercial side of the business was something I needed to get some more exposure to. So that’s what got me into sales at that time. So that was probably two years in. And then the rest of the time I was in some sort of commercial role from there.

[00:09:37]

One of the things I attribute GMI and later Lightspeed’s success or now Lightspeed’s success to on a growth basis was its ability to apply outside marketing and sales techniques. That was largely brought in by Dan Fitzgerald. That was under his leadership that, you know, whether it’s direct-or actually improved direct sales took effect. So did you have exposure in terms of the pre- and post-Dan Fitzgerald?

[00:10:07]

Oh, yeah. I mean, so Dan was just coming in when I joined the company, and within a year that place was tight-I mean, systematic process, I mean, the place was just run like a machine. And, I mean, those high growth years that GMI had, I mean, it was consistent 35-40% growth, and the business was already fairly big at that time. Yeah, I mean, so Dan’s still a mentor of mine, and now I can-I’m pleased I can say he’s a friend of mine. I still call him for advice today. I mean, and that business was humming for a good few years. And obviously Lightspeed is a very big business now, so they’re doing different things to continue their growth and evolution. But, yeah, Dan’s the best. I know we both have a good relationship with Dan. So I still feel like I’ve got a lot to learn from him.

[00:10:56]

Yeah, that makes two of us. So while you were at Lightspeed you started a nonprofit, Doing It for the Kids. You talked a little bit before about your desire to have your own business. Was-Maybe talk to us about what the Doing It for the Kids was. And then I think you ran it for about 12 months. What ultimately happened with it?

[00:11:19]

Yeah, for sure. So one of my best friends and I, we were up-So I lived in a post-college frat house for a couple years too long, like probably many people do, many people who live in cities like I do. So I lived in a big old ugly house in Boston with a few friends, and my college roommate and I have always had a very competitive business type of friendship. So we both went to business school together, and so, you know, we would-Anyways, we’re sitting there talking. We’re, like, all these brands are trying to get access to Millennials. Millennials are trying to do the right thing for people in the world and society. They don’t want to write checks to bureaucrats, but they like having fun. I mean, you see all of these like social Boston sports or social New York sports or whatever they might be. And so we just had this idea where like if we could throw amazing competitive events, volleyball tournaments, golf tournaments, 5Ks, whatever, have brands offset a lot of the opex, they’d get access to a very high demand group of people, millennials. Millennials would come and have fun. And because the events themselves wouldn’t cost much because of the fact that the sponsorship would offset it, we could just make the money go directly to kids. And so we partnered with the Boys and Girls Club of Boston. And I vividly remember that the CEO of Boys and Girls Club of Boston, Josh Kraft-his dad you probably know is Bob Kraft, who is a CEO of the Patriots-I remember sitting there. We just had this random idea with two PowerPoint slides, and, anyways, he let us help him. So we built a brand. We built a Web site. We held a bunch of events. We raised some money. And then my partner Tyler was going to pitch to find more partners, and he met Bert Jacobs, who is the CEO and cofounder of the Life Is Good company, which is a business that stands for optimism. And you probably know them as an apparel company with really cool outfit-you know, for T-shirts that have inspirational optimistic phrases on them. And he had had a nonprofit, as well as an apparel brand, and there was a pretty significant gap between the two businesses that he was trying to bridge. And so we sort of said, you know, why don’t you come in and do this for our business, so Tyler, my partner, went and did that. And I was at the same time going through some evolution with my wife, who was a CPA and hated her job, and she wanted to do something entrepreneurial. And so I decided to sort of stay at Lightspeed. Tyler went and did that at Life Is Good and, you know, has gone on to have an amazing career so far since then. And my wife was basically a CPA, and she would come home from work every day just like miserable. We had this really crazy hound dog named Wallace, and he needed to get exercise. But we didn’t want to pay to have it walked around the block, and we said what if we just had a business where we took other people’s dogs to do what we do on the weekends, which is bring them in the woods, let them get off the leash and have some fun. And so that ended up being my new side hustle, my new project. And we-that was real fun. I mean, we-I remember sitting by the phone waiting for the first customers to call. And we built a nice little business. By the end of it, we had 12 employees. And frankly, Jamin, I was at a crossroads: Am I doing this full-time or am I going to go do Zappi? And so obviously we’re sitting here talking about Zappi, so you know what I ended up doing. But, yeah, those were the two kind of things that were happening at different points in time, both of which I learned a lot from.

[00:14:44]

It’s interesting that you-a side hustle sounds like it’s been either a consistent desire or a part of your life. And it’s no wonder that you started with a-with ZappiStore and then moved into the chief revenue officer role. What was your-Where was your competence placed in ZappiStore? What was the real big aspect that attracted you to it?

[00:15:07]

Well, what attracted me to it was something has been wrong with this industry for a while and I could see the end coming of-you know, there’s always this reputation in our industry that, you know, how many years did we both go to conferences and you hear this is the year of mobile and then nothing sort of happened. And, I mean, it was a good few ARF conferences where you’d see keynotes-and not to pick on ARF-I mean, it was all the conferences, but-and, you know-But I also saw the rest of the world starting to be exponential in change and evolution, and I want to be part of it. And so I was looking-Frankly, I was looking at a bunch of businesses, you know, to try to see what was next for me. And as I was in a role where I was trying to evangelize what Lightspeed did in the enterprise, I said, “OK, so there’s a gap in service there. What could be the thing?” And then I met Steve, and it was this-it was an idea. You know, it was an idea with a prototype and it sort of worked, and I said, “You know what? There’s something there, you know.” So it was-I knew there was something wrong. The way research companies make money has been broken for a while. The way brands get access to and use insights when they need them, and it’s also longitudinally it’s been broken for a while. And so I just thought if we could pull this off there’d be-we could add a lot of value. And frankly I thought the other part of it is how many startups don’t get to do viable, tangible market research. Could we eventually not help those businesses instead of just helping Coke, Pepsi do more research? So that was part of it. The other part honestly was culture. It was abundantly clear to me, as I said a few minutes ago, Steve and I had-you know, we had a synergy between the two of us, and I wanted to do something where I could build culture and build it in a way where people wouldn’t have the Sunday scaries, where they’d be fired up to come to work. And so that was the other reason. I just figured we’re going to-if we’re going to, you know, have a blank canvas and both he and I are both aligned kind of on a principle basis about, you know, the importance of people, I was all in. So I remember kind of I was going back and forth pros and cons with my wife for like a month, and eventually my wife said, “You just need to make a decision.” So I’ll never forget we went to a reggae concert. The next morning I woke up. The first thing that popped into my head was Zappi. I called Steve, and, you know, I’ve been running ever since.

[00:17:27]

So let’s dive in a little bit in the subject of culture. Two things stand out. One is your enthusiasm and joy and desire to have fun. The other thing, of course, is this constant learning or growing, developing. What are the core beliefs or the DNA of ZappiStore today?

[00:17:55]

It’s a good question, and I think culture is something that evolves. And it evolves sometimes for the better and sometimes, you know, a business evolves for the worse. I mean, so there’s a couple of things about Zappi’s culture. I believe people should bring their entire existence to work, good, bad, and ugly. So you see me as I am every day. I talked-I was just on the phone before this with one of our biggest clients. I talked to him the same way I would our office manager, the same way-I mean, everybody-I’m just me and that’s it. And I think everybody is empowered to do that. We run a very flat company, which means we value candor, honesty. You know, you’ll very rarely go to a meeting at Zappi where there’s not a fairly intense discussion happening, and it’s important-There’s a great book, right, Kim Scott [ph], who has worked at I think all the big companies, all the famed companies, about radical candor. And that’s something we really subscribe to in that if you really care about people you can be really honest about things. And so that honesty is important. We’ve also been really fortunate to have a company where 23 countries are represented on our staff. And naturally being a software company you have a diversity of personality types. You have type As like me, but you also have logicians. So our CTO and I literally could not be more different people. We approach problem-solving completely differently. But the byproduct of the two of us sitting together is a much better decision than one of us would make in isolation. So that level of inclusive listening and courageous honesty are key things that we strive for. And because we’re flat we also give people the autonomy to make decisions and work on stuff, which I think is important because if everybody is just following one of us then we have to wait in line and, you know, the amount of time spent putting stuff up the flagpole, down the flagpole, it’s just not productive. And so we follow a pretty simple rule here or anybody can make any decision as long as they take the advice of people who are affected by it and listen to it. And so that’s been a key part. And as we’ve grown, we now, we’re no longer six of us sitting around a table. There’s 220 of us. So it’s, there’s different evolutions. Some people you hire aren’t necessarily gonna fit in that environment, or sometimes the environment needs to adapt to fit in other people. And so you’re kinda constantly going through that change. But I just this morning was on a call with a new employee. I try to talk to everybody as frequently as I can. And I won’t say where he worked before, but he worked for one of the big companies in this industry, and he said it’s the first time in ten years he hasn’t had the Sunday Scaries. And I was just like, it was really cool to hear that as we’ve continued to grow. So that’s a little bit about our culture. We just think if everybody can lead and own what they do, and ideas and innovation can come from everywhere, then we can continuously grow and get in front of where the world’s going, not get stagnant.

[00:21:02]

I think one of the brilliant things, the ZappiStore did democratization of insights. And you touched on this earlier. You took what was a $50 or a $100,000 price point product and through automation created a still profitable solution for large research companies, like Millward Brown. And, but then it was sold at a price point that was-I think your Web site says you have products that are under $2,000. So very, very cheap, and yet still very valuable in the context of the sponsors and the insight companies that this is coming from. In those early days, was there tension with, should we just build competitive products versus Millward Brown and bringing those to market? Kinda like Confirmit did in a lot of ways or Qualtrics. Or was the idea, let’s start a channel strategy with those large research companies?

[00:22:03]

It’s a really good question. And I think in any business where you’re disrupting the way things are, there’s gonna be tension throughout. So we have some amazing partnerships with Mark Research and Acacia Avenue and Kantar and MMR and some other organizations where they’ve got truly great thinking, truly great methods, databases that are really valuable. And those partnerships have been fruitful, and they’ve evolved over time. Some of our partnerships, like you know yourself with the businesses you’ve been a part of. Some partnerships work better than others. And also, our business has been evolving from a product market fit and go-to market perspective because, at the end of the day, we’ve really been cranking for four and a half years. And so there’s been that. So there’s one cost. Our platform is expert led, so everything on the platform has to be really grounded in proven, valid measurement methods. So we actually do have products that are our own. But, and we’ve always had products that are our own, but we don’t, we put them in a place where they’re appropriately positioned in our portfolio of what they can and can’t do. The other thing is we’ve always had a channel partnership strategy. But there’s-I mean you know yourself from Decipher, there’s a different level of desire to blow things up when you’re talking to the enterprise relative to the service providers that support them. And so we’ve kept that pressure on so that what we can do technologically isn’t stifled by anything else other than what the market demands versus some politics or agendas or what have you. And so we’ve continued to innovate, and that’s evolved the way channel works at Zappi, but we still have so many amazing partnerships. And the ones that I mentioned are still thriving and growing. But they’ll be times where there’s just a discrete choice model doesn’t have a lot of unique thinking in it, but where there’s value is consulting on top of it. And so you can see ways where that continuously evolves as our, frankly, as our capability continues to grow. But I view what we do as a way to allow agencies, consultancies to make money when they have really tangible, credible, valuable, intellectual property, but also to make money to put their brains to work instead of having to do a lot of the nuts and bolts work in between. My opinion is that helps the clients with, it helps them sell more stuff.

[00:24:38]

100%.

[00:24:39]

Develop their brands, etc.

[00:24:40]

The interview, which is not yet public but on, that we did with Adam Sykes from LinkedIn, Rougier, he actually said they’ve moved more and more away from ConJoin into using Facebook ads as a way to test the concepts. So they don’t care about exactly- it’s not about the ad. It’s about the, which one of the sales is winning. And so it’s just another example of where outside technology is displacing what has traditionally been the realm, solidly in the realm of market research. And why this subject is so important to us as researchers, and so when you dig into these conversations with customers, as you’ve so succinctly said, getting to the why, this versus that, is critical for the brands to be able to understand. It isn’t that 46% prefer. It’s why that is the case. And then the application of that to real life.

[00:25:47]

Well, it’s true, Jamin. I mean think of the opportunity we have. If the whole marketing industry is becoming programmatic, and there’s about a million ad tech toys that are getting Silicon Valley money chucked at them-

[00:25:58]

That’s right.

[00:25:58]

All this programmatic data lacks why data. And we’re-I mean it’s not-that’s what we have. We have this ability to bring that to the party, and technology gives us the ability to scale it. Some of the stuff we’re working on is being able to codify and scale expertise of people so that you don’t always have to do research first. You can first look back at what you know. But if we can give why data in this programmatic world, we’re not talking about an industry under duress. We’re talking about an industry that should be thriving. And that’s what, I mean if you were, I think you’ve probably heard me speak at one conference or another. Sometimes I’m pissed off about it because I just think we should be the industry that’s growing the fastest. I go to too many enterprises where research is still the department that goes to cover someone’s ass. And it’s like, oh God, if we just played offense, we could change all this. And we should because we have the skills to do it.

[00:26:52]

I think, I don’t think we played offense in a long time. I mean-

[00:26:55]

I know. It kills me.

[00:26:57]

It does me too. And this is so, so getting under this banner of why, which is honestly part of the, and I hear this in every single conversation, every single interview that I do, whether it’s in the, what Alexander’s producing at MRX News. Every single day it’s all about the why. And that’s where I think qualitative is emerging as this kind of, we’ve deprioritized that, honestly, from if you look at how Google’s treating ad testing and whatever. It’s all about data-driven insights. But we’re, they’re not taking the time to understand the why. And actually, that’s one of the reasons that we’re, that there’s been material misses, I believe, in political races. It’s very interesting from an opportunity perspective how we could punch through if we can, as researchers, inverse the model, where before we would spend 90% of our time in just the logistics of gathering insights and maybe 10% on the insights and packaging of those insights. And change that so that we’re spending more time with the brain matter, as you said, as opposed to the autopilot.

[00:28:08]

Have you followed any of Diane Hessan’s work that she’s been doing with politics using Communispace?

[00:28:15]

I’ve heard her speak a few times but not actively following it.

[00:28:19]

You should probably have her on at some point. She basically has been using market research communities to talk to Americans about how they feel about policy. And the level of insight that she’s getting is insane. And you’re not gonna see it in poll data that is on Nate Silver’s blog, which is also valuable. But two hours before the election, Hillary was gonna win. Two hours before the end of the election, Hillary was still gonna win. And so there is also value in that why data. I think the other thing too is we’re, we’re on this, we’re talking a lot about why data in a programmatic world. But machines, technology also allow us to get to a place where why, why something happens can quickly result in the what to do about it next. Because you can see a world starting to-I can see a world because I’m part of the technology organization where social media Web, social media analytics platforms, platforms like Zappi, Market Mix Model, Sales Data, these ecosystems can start to create and have handshakes of data where I could start to see-I’m already starting to see this happen with some of our bigger users where they do a concept test. And because they’ve come back and taught what happened, they’re like, “Hey, do this. Talk to this retailer at this price point. And if you do sales from-” You’re starting to get to action as a result of it because there’s a lot of knowledge in this industry that, unfortunately, just still lives in a PowerPoint. So it’s something that, it’s kinda one of the things we’re pushing forward is how do you get people not only to why something happens but what to do about it.

[00:29:49]

So one of the things that I noticed is we’ve evolved thinking about the fulcrum platform, what Patrick Homer’s doing, specifically, how, moving into more and more of an automated procurement process of respondence. It does seem to be the case that CPIs, or cost per interviews, are continuing to go down. That could be good news and it could be bad news. Good news in that research is cheaper. Bad news is in that some people might be questioning the validity of a 20-minute survey when you’re paying a respondent a quarter. How is Zappi wrestling with, or dealing, ensuring the overall data quality of sample through an automated work flow?

[00:30:42]

That’s a good question. It is. And I have a lot of opinions about this because it’s a world I came from. So it’s obviously, it’s baked into what we do here. So a couple things. We are an expert-led product company versus a survey platform, and so everything’s kinda pre-built. And so what that means is before we put something on production or we try to sell it to our customers, we will validate it. And what I mean by that is we’ll align source composition by country, and we’ll run a bunch of sample through the product to make sure that the answers are gonna be consistent and reliable. And as an example, when we put the version of link on Zappi, which is Millward Brown’s ad test, we ran a ton of side by sides to make sure that a user would make the same business decision using Zappi with a one-day turnaround versus using Millward Brown with, say, a 10-day turnaround. And so at the product upfront level, we marry source composition, and that’s standardized. So, and then at the customer level, same thing. We’ve built a sample platform on Zappi where-we’re not a sample company. We never will be. But we’ve built a sample platform that allows us to understand the composition of respondents using some, using our data science team but also this platform so that we can have a consistent framework for screening to our surveys for all of our quick-service restaurant customers, for all of our telecommunication customers that allows us to have a very consistent sample frame but gives the customer the ability to drill into people who eat ten Big Macs at McDonald’s on a Friday night. You can drill down on the data if you want without screening at two-percent incidents. The other thing is because we were a startup, we didn’t have Legacy 45-minute trackers to deal with. So nothing we do is above 12 minutes. I think our average global interview length is eight minutes right now. So if you build the mobile friendly surveys that are short, you naturally can start to do this. Now what we’ve been doing a lot of, because we’re not a service company. Our, we, our partners will either configure Zappi products or consult off the back of them, but the majority of our user base is configuring a project, launching it, and getting a report emailed to them. And so we’re not naturally going in and cleaning open ends and all that other fun stuff. So we’ve been doing a lot to detect gibberish, engagement using some data science techniques to remove it from surveys. As you move into the programmatic world, you obviously have to be more mindful of things like bots. And so we’ve been building capabilities to make sure that we can detect and remove bots and gibberish from surveys. We do all the duplication speed check, all that sort of quality rigor in place. But I think the big thing is we get a, before we decided to advance down the programmatic path, which I’ll tell you we’re-I’ll say this probably for the first time in the open. We’re leaning in to programmatic sample hard. And I’ll tell you why. We did side by sides with all the panel companies, and I saw a negligible difference in quality. And in some cases I saw a higher level of engagement using the sense and lucids of the world versus kind of just purely relying on traditional sample. And so that’s given us great confidence to kinda continuously move in this direction. And part of it is because you’re not just talking to people who are on panels. You’re able to get access to people who are not gonna be in panels but really wanna read about whether or not Tom Brady’s gonna retire. And they’re willing to take a six-minute survey to get access to that premium content. And so there is definitely, I’m seeing real immense value in it. And I’m less concerned about the incentive, because the way those companies incent is different than two dollars to take a survey, which is the world I was in many years ago. So it’s gonna be an interesting space to watch, and then you look at companies like Survata who aren’t even programmatic. I mean it’s just publisher-based sample, and that’s a really interesting data layer to consider. And that’s another one of our partners that we have a great relationship with. So I think we’re gonna actually push pretty hard on this front because, well, we’re finding it’s a more scalable way to do things.

[00:34:53]

Love it. So last question. This is the opportunity for you to tell the listeners what you want them to know about ZappiStore. As you know, our listeners are insights professionals, both buyers and users of insights. So what is Zappi working on today that you’d love the audience to know about?

[00:35:11]

Well, thanks. Thanks for the bounce pass, Jamin. I appreciate it. So we just, we’ve spent the last year and a half working with our top 20 customers, really understanding how we can give them value. And we’ve built capabilities around that. As a result, we decided to rebrand the company. We’ve moved on from being the app store of quick and dirty research tools. We’ve merged with a company called Intellection Software, which has really advanced capabilities in data management. And so we’ve dropped “Store.” We’re now just Zappi. We’re focusing on building a set of expert-led capabilities, specifically today to answer questions around product development and advertisement, and then giving customers a place where the data that they collect that gets more value from them. So instead of the first things one of our clients does is doing another concept test, first thing they’re starting to do is actually go in and look at what they already know. And that’s by enabling advanced statistics and on-demand kinda meta-analytic capabilities. So that’s what we’re doing now. We’re working on a ton of stuff to continuously land the ability to bring people right to the answer. That’s vision stuff that we’re aspiring to. But right now we’re end-to-end platform for testing and learning throughout the ad and concept development process with a whole host of analytics capabilities on the back end. So that’s what I would say. I would also say the thing that our clients like about us is our people. We do sell software. The guy who runs my America’s business was a former Head of Insights. The gentleman who runs our Canada business used to be on the client’s side. Our Head of Partnerships used to be a senior executive at GFK. So we’ve really focused on making sure that we bring a lot empathy to what we’re doing so that we understand not just that our software toy is cool but how our users get value out of it. I just recently welcomed one of our clients to our teams. This was a Global Insights Director from Coca Cola. And now she’s, Patricia’s working with a lot of our clients to actually help them transform insights around what Zappi does because, frankly, Jamin, I think too often innovation is like a Zappi or a Remesh or a Voxpopme or a KnowledgeHound or a lot of these really cool players that are emerging in our space. We suffer because our clients apply our technology to broken policies and ecosystems. So, and frankly, I spend a lot of time consulting brands on how to make something like Zappi actually work, because if you just apply Zappi to a broken process, it’s just another thing. That’s been where we spend a lot of energy.

[00:37:48]

More of the insights of Frankenstein. My guest today has been Ryan Barry, Chief Revenue Officer at Zappi. Ryan, thank you very much for joining me today.

[00:37:56]

Thank you, Jamin. It was an absolute pleasure.

[00:37:59]

Thank you everyone for listening, and have a great-

Happy MR Podcast Podcast Series

Ep. 111 – Kristin Luck, Global Strategic Advisor

Kristin Luck, advisor to countless companies and founder of the Luck Collective as well as WIRe, shares her perspective on the industry trends. With a keen eye on marketing research’s victories and failures in the past, she diagnoses what we should be keeping our eye on for the future.

FIND US ONLINE:

www.happymr.com

Facebook: https://www.facebook.com/pg/happymrxp

Twitter: @happymrxp

Instagram: @happymrxp

LinkedIn: https://www.linkedin.com/company/happymarketresearch/

FIND KRISTIN LUCK ONLINE:

LinkedIn: https://www.linkedin.com/in/kristinluck/

Twitter: @kristinluck

The Luck Collective: http://www.luckcollective.com/

WIRe: https://www.womeninresearch.org/


Happy MR Podcast Podcast Series

Ep. 110 – Introduction from Alexandra for Reflecting on Melanie Courtright’s Interview with HMRP

Hi everyone! Alexandra here. I wanted to give a little shoutout to our partner podcast, MRx News, as well as let you know that there are always lots of helpful links in our shownotes. Be sure to check them out. Have a great day!

Happy MR Podcast Podcast Series

Ep. 109 – Reflecting on Melanie Courtright, EVP at Research Now SSI

Jamin, Jayme, and Alexandra analyze Melanie’s insights. We discuss in particular how to leverage the “whats” (data) and the “whys” (insights and analysis) to bring the most value to brands.

FIND US ONLINE:www.happymr.comFacebook: https://www.facebook.com/pg/happymrxp Twitter: @happymrxpInstagram: @happymrxpLinkedIn: https://www.linkedin.com/company/happymarketresearch/

FIND MELANIE ONLINE: https://www.linkedin.com/in/melanie-courtright-42b28a6/ Twitter: @melcourtright Research Now SSI: https://www.researchnow.com/

Happy MR Podcast Podcast Series

Ep. 107 – Melanie Courtright, EVP at Research Now SSI

I have as my guest today Melanie Courtright, EVP of Global Research Science at Research Now SSI, the global leader in digital market research and data services.

Thanks to the merger of the two market research data leaders Research Now and SSI at the end of 2017, the company has one of the world’s largest first-party data assets built on permissioned research data. With a combined history of decades, the company has developed its core of data through a variety of panels, such as eRewards and the Opinionology panels, just to mention a couple. SSI acquired the Opinionology business in 2011.  And eRewards, an industry pioneer of online research data established in 1999, acquired Research Now and became Research Now Group in 2014. Since the merger, Research Now SSI is something of a standard setter for data quality.


[00:00:00]

Hi. I’m Jamin Brazil. And you’re listening to the Happy Market Research podcast. I have as my guest today Melanie Courtright, EVP of global research science at Research Now SSI, the global leader in digital market research and data services. Thanks to the merger of the two market research data leaders, Research Now and SSI at the end of 2017 the company has one of the world’s largest first-party data assets built on permission to research data. Since the merger, Research Now SSI is something of a standard for market research data quality. Melanie has spent more than two decades in the consumer insights industry and is a leading voice in market research for trends and the next generation of data collection. Thank you Melanie for joining us today.

[00:00:48]

It’s my pleasure to be here. Thank you for having me.

[00:00:50]

So I’m super-excited about our conversation. You and I have operated in the same circles for two decades and known each other for I think about half that. Your work at Research Now and SSI has certainly put you in the forefront of tech in the market research space focusing specifically on online and then later mobile and social today. On top of that you’ve written some award-winning work that has informed our industry. But before all the nerd stuff, I think it would b really helpful for our audience if you would talk just a little bit about your background and how you wound up in market research.

[00:01:28]

Sure. That’s a fun story. I didn’t actually grow up wanting to be a market researcher. I’m one of those people who found my way into market research. I was actually planning to be a professional vocalist. My formal education is in languages and music. I speak Spanish and I learned Persian Farsi while I was in the military. I also read biblical Greek. I was a first soprano. I’m still very active in singing. And if you were to be in my car on my way home any day you would hear me singing at the top of my lungs all the way to and from work. But – so after I left the military, I started doing some research. I joined Texas Instruments and I worked on a Department of Defense program for Texas Instruments. And then after that I left when my third child was born. I began working from home doing transcription and translation work for a local research firm. I spent years with that firm translating, cleaning, and coding verbatim comments from employer and customer feedback programs. It was during that time that I really learned a lot about the needs of employees and the needs of consumers translating and transcribing their words into a consumable coding that companies could use. So I spent a lot of time just getting to know the hearts and minds of people all over the world through that couple of years spent with verbatim comments. And from there I just grew in my love of research and in my roles across all the companies I’ve been at.

[00:02:52]

It’s so funny. You know I started out – I call it the bells of market research. So I started out doing mall intercepts. For those that don’t know, those are the people that you all loved that are in malls that have clipboards with pieces of paper on them and they intercept you asking if you have ten minutes to answer some questions. It was hard but it’s funny because having that as my initial point of reference in this space gave me great insight in terms of opportunities of automation or how we could introduce technology to solve some material problems, which is why I did my first online survey in 1996. So I think that entry-level experience is super-beneficial for leadership.

[00:03:37]

Yeah, and even as an executive now one of the things I’ve tried to make sure I do is stay close to consumers. The best way to help our brands and clients be close to their consumers is by being close to consumers ourselves, spend time following their trends, knowing what devices they’re using. There’s nothing more important than just really understanding consumers if you want to help clients make decisions about them.

[00:03:59]

Yeah, that’s the truth of it. So let’s talk a little bit about your role. It’s certainly expanded and I think most recently into the EVP realm of global research at Research Now SSI. So what does that mean? What are you in charge of?

[00:04:12]

Well the global research science role is actually new to Research Now SSI. It was established after the two companies merged. I’m really excited about this role. My team’s responsible for reviewing and approving all of the methodologies that under guard our products and services. If you’re not familiar with methodology, methodology to me is just how we make sure that the data we provide represents the population our clients are trying to make a decision about. And so one of our most important focuses right now is creating a combined company sample plan across our panels and measuring our ability to hit benchmarks. Research Now SSI is showing their commitment to quality and methodology by investing in a team of experts that will approve everything we do as a company along the data services spectrum. It’s a great role, a great team. Some of the smartest people work in this group and I am honored to have the role at the company.

[00:05:05]

That’s fantastic. Well congratulations on that. I want to dig in a little bit deeper here. Do you have somebody you want to highlight?

[00:05:12]

The whole team is filled with rock stars. So on the knowledge side is Jackie Lorch. Everybody knows Jackie Lorch and she is an SMR representative like I am. There’s also Pete Cape. They call him doctor Pete. He writes for some of the industry articles and magazines over in the UK. You’ve got Keith Phillips and that’s just on the knowledge side. On the actual consulting side we have Eric Levy, and then we have a whole data quality team who handles all data quality questions. It’s an amazing team of some of the smartest people in the business and they all work for Research Now SSI trying to make sure that everything we do is top-notch.

[00:05:52]

That’s awesome. So since I started in 2000, that’s my really when I spun off out of primary research and into technology empowerment for research. Seven years later, fast forward, Kristen Luck sold her company and it seemed like a great time for us to join forces. And as you know, she’s been – is the founder of Women In Research or WIRe, instrumental in connecting women inside of our community so that they have increased opportunities and education. What is it like to be a high-profile woman in the market research industry and then do you see any challenges, anything you’d like to share on that front?

[00:06:34]

I mean first I would say I think it’s the same as being a woman executive in any industry. It can be really rewarding and it can also be very challenging. Our industry is blessed to have a great set of women leaders across the spectrum of roles and responsibilities. And we have some really great gender equality initiatives that make me proud and I’m excited to be a part of. But it can also be a little bit lonely and daunting. There’s still in our industry more men in the upper echelon than there are women and it’s funny since there are so many women in our industry. Then I would say that the challenges are just around – there are still a lot of places where your role – people try to define what your role should be based on your gender. They try to put you in a box as a woman, a sort of pre-defined box about what your role should be. And I would say honestly that I think I’ve spent my entire career sort of breaking boxes. I am the only one who gets to decide what my limits are and what my roles are and what my boundaries are. And I encourage women to do that for themselves. Don’t let anyone else tell you what you can or cannot be. And the only other thing I would say is women are often required to act like the role they want to be before they’re given the role. Men sometimes have some assumed leadership capabilities and they’re often given roles that they can kind of grow into. Women usually have to prove themselves before they get those roles and so my encouragement to women is to start acting like the role you want in three years now. So if you want to be at the higher level in three years, start acting like you’re at that higher level now and prove to everyone around you can do that role. Start doing it now. Think big, plan ahead, and don’t let anybody give you any boundaries.

[00:08:17]

That’s super-smart. Thank you for that. Did that position get informed by your military service?

[00:08:23]

Absolutely. I will say in the military I learned how to be comfortable working around men. I learned how to challenge stereotypes and challenge norms. It’s funny. Before I joined the military, I had never actually picked up a weapon. And when I picked up a weapon for the first time there were a lot of people who said well she can’t shoot. She’s a girl. She’s not going to be any good at it. She’s a girl. And I became the first woman in the military to get a perfect score on marksmanship. The army actually gave me a plaque and a trophy and the army does not give trophies. But I just – I never let anybody tell me what I can or cannot do. I never let the noise in my head become reality to me. I set my own boundaries and I broke stereotypes. And I learned how to do that in the military. I also learned discipline in the military though. There’s this thing called the art of discipline is about practicing and exercising and honing your talents so that when you’re under pressure, you can rely on muscle memory. And I do that all the way to today in every aspect of my career. There are so many times when I’m in a nervous or anxious situation or I’m speaking or I have to make a quick decision and I need to be able to rely on muscle memory. And so that discipline and that practice and that exercise came from my military experience.

[00:09:35]

Unbelievable. Thank you very much for sharing that. So I – being an old guy, I was around in 1999 when your rewards started and it was interesting because your rewards created this profoundly strongly brand around data quality, this huge point of differentiation in the market. Additionally, you guys were really disciplined on saying no to projects that were bad fits against your panel. How has research now guarded that sample quality given the various mergers and acquisitions?

[00:10:08]

Well so the fact that the merged company, Research Now SSI is investing in such a large team of research science experts to tell you that we still take this very, very seriously and it’s because we look across the entire spectrum of what quality means. Quality starts all the way from the way you recruit, the way you engage, the way you rewards. It’s definitely about the exercises that you ask people to complete, it’s about really good member experiences, but it’s also about scale and it’s about knowing when to say no and it’s about representativeness. Quality can certainly mean like in survey data quality measures but it also really means representativeness. And we look at all of that. So our biggest concerns through the recent merger have just been data stability and data representativeness. We spent an awful lot of time creating a new reliability measure that you’ll be hearing more about soon. And we’re still completely invested in quality.

[00:11:03]

When you think about representativeness, I think most people would default to national rep, etc., etc. But are you also incorporating an origination source in that?

[00:11:13]

We are. So – and the reason that matters is that it’s all about sample frame. If you’re working with a source that is small in frame that’s only recruiting from a few places it can be very difficult for that frame to represent a large population. So Research Now SSI recruits in every way imaginable. And we look at the source and the quality of every one of our partners and every one of our recruiting campaigns. But when you put all of those together, all of the loyalty partners, all of the gaming partners, all of the mobile channels and the API partners all together at scale, almost all of the coverage bias that my research can be known for are erased and the data quickly falls into norms and benchmarks. So we now know that we can hit external benchmarks on ailments and on consumer behaviors and all sorts of different ailments because of our scale. So we’re taking the quality message a couple steps further.

[00:12:15]

Got it. The scale part I think is really an important point. It offers you such a competitive advantage in the marketplace. There has been an increase in sample APIs or blended or whatever you want to call it. My concern around that is sometimes we can lose – by automating the process we can lose the connection with the origination source, which may or may not have an impact on the data. I know that there could be ways to address that but I’ll stop talking. Everyone wants to hear you talk about this.

[00:12:45]

But what it comes down to is scale matters but not only scale, but the ability to hold the sample frame consistent over time. You really have to be able to have the financial commitment to maintain long-term relationships with your partners and with your members and be able to hold a really consistent sample frame. Broad, diverse, and consistent is the only way you get to this every day you could deliver accurate data. Lots and lots of members so that if that member A is used in survey A, you have somebody just like member A who can take survey B.

[00:13:20]

That’s right.

[00:13:21]

That kind of really broad scale, not only of the survey participants but of the surveys themselves so that technology isn’t adding any bias because of the types of surveys that are being conducted. So the scale matters in terms of your financial resources to maintain long relationships, in terms of your access to people, and broadly diverse people, and in terms of the surveys that you have in your system so that there’s no bias there either. It’s all about every layer of bias and taking it out through scale.

[00:13:50]

So over the last decade, we’ve had a couple of market research misses I would say. And one of the things I think that we were big on is the race to mobile adoption as a viable survey data collection type. From your perspective, what do you see as some of the bigger misses of the market research industry over the last decade?

[00:14:09]

Well I have – I definitely have one and I think that that is developing and adopting an explicit measure of the accuracy of our data, but really specific when measuring data quality about measuring in-survey data quality about speeding and sufficing. And that’s interesting. But you can have a perfect data set that doesn’t accurately represent any population that you’re trying to make a decision about. And we have not yet developed and adopted this really explicit measure about the accuracy of the data. So this is something that Research Now SSI and my research science team are very committed to. And we’re going to be sharing things with the industry very soon to help them understand how to know for sure if the data is accurate for decision-making or if it’s just pretty data.

[00:14:58]

Oh, that’s super-interesting. I was going to do a white paper. I just kicking the can down the road between Q and A surveys. At Decipher we built what’s called survey stress test, which is just an automated survey populator. It’s like a bot for surveys. And again, we just used it to populate data to make sure that we’re hitting all the skit patterns and quotas were processing correctly. It’s just a shortcut, right. I’ve always wondered how much different that random generated sample would be from – a very inexpensive sample that you could acquire in the open market exchanges today but anyway that’s super-interesting. So now kind of thinking forward more what does the next three years hold for us? What are the trends?

[00:15:43]

Well I mean so first I’ll say our industry doesn’t change super-quickly. We all know that. And three years isn’t that far out.

[00:15:49]

OK.

[00:15:50]

There are a couple of things I’m really certain about though. One, in the next three years I do think that we’ll see important progress on the connection of data across the marketing spectrum from product development to marketing activation. And the second one is I think we’ll see more technology firms coming and joining us from outside our industry. On the data front, like we really are beginning to see opinion data merged with first-party data, second-party data, third-party data. It’s all coming together to tell really long-tailed data sets. We have clients where we’re matching our panel to their client list and more opinion transaction data. We’re also bringing that second-party data. We’re also bringing in purchase data and Acxiom data and Experian data and behavioral data, Live Ramp, Drawbridge. We’re bringing in all these really great data sets to tell these really cool stories and there’s all the cookie data on top of that. These data platforms are coming in and you’re going to see some very interesting case studies over the next couple years that say that this isn’t just a cool idea. It’s being used in practice. It is being used to make very fast and more comprehensive decisions. I am fascinated by that. Research Now is hiring data scientists and we’re using data platforms and ecosystems that we didn’t use a couple years ago and we’ll be even further a couple of years from now.

[00:17:11]

Yeah. I mean gosh, let’s unpack that a little bit. Market research as we know as an industry has been fairly flat in context of just overall global spend. In fact, in some cases I’ve seen articles where it’s been decreasing on a year-over-year basis over the last decade. So in that world, and at the same time, you’ve got literally an explosion of data whether it’s behavioral or transactional or whatever that exists on each one of us. So market research has been kind of stuck in this obvious place of well how do we relate to all this other data, which used to be in our realm of knowledge because at the end of the day, market research is one thing, which we are a facilitator of a conversation. It’s just a really complex conversation. And then we analyze and answer in form whatever the business question is that was originally asked. And I think the point that you’re making about the integration of technologies developed outside of the market research space is spot freaking on. The role of technology either is to entertain or make things faster, better. And that’s where on Twitter you saw my recent – this is about I guess three weeks ago, Winnie Murphy and AMA coproduced a paper on the role of market research. His thesis being that market research needs to be the keepers of why. And I think that’s really interesting and correct. But the problem in that is the way that we monetize what we do for a living, it’s like literally 60 percent of the cost structure is inside just the facilitation or the logistics of gathering the data. And you have third-party, whether it’s like integrations into WordPress or even into PowerPoint. Recently I got a survey in PowerPoint. It was a basic NPS survey, which I thought was hilarious. So you’ve got this complete democratization of what I’ll call traditional research being then integrated into systems that consumers are using every day that never even touch market research. And then the other part that’s super-interesting is how artificial intelligence is allowing us, and other things like sentiment analysis and NLP and whatever are allowing us to process qualitative what used to be a synchronous data collection approach, qualitative data and then process that at scale. So you really have quantitative outcomes of that space. And one of the – I’m thinking of a couple different start-ups I’m consulting for right now, their big problem is just don’t know how to pay for it because it doesn’t fit qualitative and it doesn’t fit – it’s not a survey and it’s not a focus group. It’s a focus group at scale or what have you and that’s confusing. So do I not need a survey anymore. So anyway, yeah, the technology is having a big impact on the role of market research in today’s insights.

[00:20:01]

It is. And I’m certainly a believer that market research should be the keeper of why but I also think that we need to be the keeper of what. We’ve relied heavily on participants to tell us through feats of memory, the whats, what have they purchase, when did they purchase it to gather all the data from them from their minds. And that’s a very challenging ask of participants. So we’re getting much better about pulling in the whats, the behavioral whats, the purchase data whats from other sources and then being able to really focus our surveys on the why behind the whats that we can observe. And that is exciting. It’s also exciting for me because there’s still a lot of methodology that goes into doing that well. A data set that’s big doesn’t again, mean a data set that’s representative and a data set that’s truth. So there’s still an awful lot of methodology that needs to go into this but it’s really coming together and tapping into working dollars like it’s never done before and getting the attention of the CMOs and the CEOs. So it’s an exciting time. And that leads me to that second thing I was pretty certain about, which is because our industry is sort of extending and expanding, it’s becoming attractive to some of the other technology companies that are in other adjacent industries. And so I think we’re going to see more external firms offering services like security and identification and even financial and technology products and companies that are coming into our space, coming up alongside of us and we’ll learn from them and they’ll learn from us. And we’ll just get bigger together.

[00:21:32]

That’s super-interesting. Well, those are all of my questions today. Did you have anything else you wanted to highlight that’s coming up that you want the listeners to know about Research Now and SSI?

[00:21:41]

Well in terms of my day job, the research science center, we have launched the research science center. The research science center is going to be a resource for the industry. One of the things I’ve heard quite a bit recently is that a lot of the conferences have stopped presenting deep methodological papers on things like sample frame and router design and how to take a tracker and completely turn it on its head and add all these other data sources and make it mobile-friendly. So we’ve taken that to heart and we’ve created this research science center and it’s going to be the go-to place. We’re not just going to have it be about Research Now SSI thoughts and opinions; we’re going to really expand it to the smartest people in the industry. So watch for more on that.

[00:22:26]

If you want to call it Jamin Brazil, that’s OK.

[00:22:34]

I think that’s taken.

[00:22:35]

My guest today has been Melanie Courtright, executive vice president of global research at Research Now SSI. Melanie, thank you so much for your time today.

Happy MR Podcast Podcast Series

Ep. 106 – Edwin Wong, Senior VP of Research and Insights

Hi, I’m Jamin Brazil and you’re listening to the Happy Market Research Podcast. My guest today is Edwin Wong, Senior Vice President of Market Research at Buzzfeed.

Founded in 2006 by the likes of Kenneth Lerer, chairman of The Huffington Post, BuzzFeed is a digital news and entertainment company.

Originally known for online quizzes, “listicles”, and pop culture articles, the company has grown into a global media and technology company providing coverage on a variety of topics including politics, DIY, animals and business.

Prior to joining Buzzfeed, Edwin has guided market research strategy at Yahoo, Pinterest, and Veoh.


[00:00:00]

Hi. I’m Jamin Brazil and you’re listening to the Happy Market Research podcast. My guest today is Edwin Wong, Senior Vice President of market research at BuzzFeed. Founded in 2006 by the likes of Kenneth Lair, Chairman of the Huffington Post, BuzzFeed is a digital news and entertainment company originally known for online quizzes, listicles, and pop culture articles. The company has grown into a global media and technology company providing coverage on a variety of topics including politics, DIY, animals, and business. Prior to joining BuzzFeed, Edwin has guided market research strategy at Yahoo, Pinterest, and Vio. Edwin, thank you very much for joining us today.

[00:00:38]

How’s it going?

Edwin, after graduating from Ponoma in 1998, how did you find yourself at Hall & Partners?

[00:00:44]

That’s just an awesome question. When I look at that number 1998 I think we were just joking. I feel so old. But I remember when I got out of school I was gonna go and get my PhD in industrial organizational psychology. And at the time there were two really great programs whether it was in Nebraska or Illinois, and my then girlfriend who has been my wife for about 20 years now she said, “If you decide to go you’re gonna go by yourself.” And so I chose love instead of a profession and it worked out great. I started off the first six to nine months of my graduated time from Pomona selling Glen Plaid shirts from J Crew and being a legal assistant at the LA Athletic Club. And what was so great is in the middle of it one of my friends decided, hey, you maybe want to apply what you learned in psychology, the study of human behavior, and apply it to business. There’s something called market research you should look into. And I kind of fell into this small company called Hall & Partners at the time. We were – I was one of the first of five employees on their way and I joke all the time, but we literally went from [INAUDIBLE sounds like: loading soda], answering the phones, stocking the copy paper, and then all within the same hour closing our very first global copy test deal that was multi-million dollars for one of the most respected tech companies in the world. And so it was such an amazing journey by myself and such a great opportunity to work with some of the coolest people in market research.

[00:02:10]

It was a really disruptive time in 1998. I remember I did my first online survey in 1996 and then Jimmy Plunkett and myself started Decipher in 2000, and Hall & Partners being one of our very first marquee accounts. It was a super interesting time because we saw this migration of data collection that moved from mall intercepts and phone to online and then later mobile. And it was very interesting to me how Hall & Partners was a pivotal part of that transition I think. The value that you were offering in those days was originally I think mix mode, but then you moved most of that data collection to online, correct?

[00:02:55]

Yeah. I think it was so great. It’s just like we’ve known each other or so long. Decipher was one of my favorite clients – favorite partners I should say, because of what you guys actually did for us. And we were – one thing that I always remember is how future forward that was and we were thinking about online and who does online? We need that phone caddy. The funny thing is how quickly that transition happened over it felt like five to six years everything transitioned over. And what’s been really awesome in this space is the transformation that we’re even seeing now and now we’ve got all these interesting survey platforms and the cool thing about Decipher is you guys really did start it all. And I still remember spending many late nights hanging out with Braden and asking him to help me with that self-serve [INAUDIBLE] tool and doing some interesting filters. It was such as fun moment with lots of late nights and it was such a great partnership.

[00:03:53]

It was and the CEOs that you’ve had at Hall & Partners, Chris Hubble and others, who’ve even been working closely with presidential candidates over the years they did a profoundly good job of helping companies identify brand affinity and help punch through the noise in the marketplace. So you moved from Hall & Partners and then later to Yahoo for about a decade, right?

[00:04:17]

I definitely was at Yahoo for quite a bit of time. I actually started in 2004, around that time, working in their search division in Pasadena. It was such an awesome time because I think back then most people who understood search thought of it as a last click attribution type media which it is. I think it does that quite well but there is so much [INAUDIBLE] activity. There’s so much I think even just the sheer Google trends or I think that Google launched a personal microsite because they saw such an increase in how to searches. And so we’re literally outsourcing our critical thinking to Google with their how to searches. And so really kind of crystalizing that story for marketers and helping them understand consumer behavior was my first run there. And just being – and where over a decade I had an opportunity to work with the media properties, work with folks that run video. Near the end I had such a great time building out the B2B insight space. I worked with the likes of Dave Utica [ph], Sebastian Fernandez, [INAUDIBLE], Trisha Hoff, and we really had such a good time just kind of blowing out thought leadership there and talking about new trends. In fact, I think one of my most fun accomplishments was working really closely with some key leaders to talk about the Maven strategy that we had around mobile video and social, all around what [INAUDIBLE] actually wanted to do there, and so we really looked at the space differently. And one thing I learned most about Yahoo was that things change so quickly for the consumer, and as a researcher if you don’t change along with them or observe those changes that you really do fall behind.

[00:06:02]

That’s a great point. Was there any material differences between how Yahoo and Pinterest used research? In other words, did one use qualitative more or tracking studies more?

[00:06:11]

Yeah. I think one interesting thing is just going to Silicon Valley. Pinterest was a – just a great place. Their use of data was just so strong. If you take a look at what the platform actually means it’s full of intense signals. You’re future planning and you’re aspiring and you’re being inspired into doing things that really cause you to act and such. One thing I actually felt was quite different was really me, not necessarily Yahoo, going there and being a smaller, more agile place I had the opportunity to really get deep into analytics as well. And so really thinking about consumption behavior and real analytics in terms of what is the consumer doing on this platform and making [INAUDIBLE sounds like: breeding] I should say, really telling that story of what was different for me. And so I had a great time working with some of the groups there and running those groups and really kind of bringing that story to life for Pinterest.

[00:07:06]

What were the key differences between what you were looking for from partners or vendors? So in Pinterest were you more interested in tools to empower your current team to do research or was it more full service answer these business questions for me market research company?

[00:07:26]

What was so great is I think Yahoo’s infrastructure for market research in general had been already built out and so going there was less needing to prove the importance of it versus when you get to some of these newer companies they’re just starting out and their analytics core is fabulous. And gaining an understanding of what the consumer is doing is actually quite easy because you’ve got some of the smartest data scientists and programmers that would literally be able to help you pull any data from the grid that you need. When you start to go to those places it’s really seeing there’s something kind of different when you talk about the why. And it ultimately brings in – even what survey actually can do for a business. And so building that part of it out was the most fun for me because you started to combine activity and analytics and really look at why a consumer was doing what they were doing, what they were saying about that behavior and how they actually wanted to change. And I think that actually created a really powerful narrative for Pinterest and frankly I think we started to do that at the tail end at Yahoo as I was able to work more and more with other teams as well.

[00:08:41]

Pinterest is such a great company. They’ve filled a need that I didn’t even know existed. So Google or Amazon is where you go when you know what you want whereas Pinterest is where you go when you don’t know what you want. It’s very [INAUDIBLE sounds like: dermis] driven on this discovery mindset from a consumer or user perspective. And it is interesting how you leverage more of the qualitative it sounds like in that sort of consumer discovery phase.

[00:09:08]

There is this one study that I actually did where we created this construct about access. And if you think about some of the newer platforms, Facebook is the access to connection whereas Google really is the access to knowledge and we consider Twitter the access to some sort of currency or relevance because influences are there. And you really talked about Pinterest as the access to ideas. And even at BuzzFeed one of the things that we’re starting to see is this access to humanity and identity. As we start to look at some of these newer platforms the reason why I think they’re taking off is distribution is there and the mobile device makes it easier. But we’re starting to align some of those experiences to what’s core to being human or these digital experiences to actually impact us in real life. And so as we start to do this work if you can sort of size down and say what does this experience actually even mean, you start to understand that human behavior and it gets really interesting and you start having a lot of fun dissecting what each experience means to the consumer.

[00:10:21]

If you can what would be the key three or the primary three lessons that you learned through your career whether it’s at Yahoo, Hall & Partners, etc., but then you applied to your work at BuzzFeed?

[00:10:34]

It’s funny. It’s not even at BuzzFeed but just for research in general I think that for me what I’ve learned most is that numbers they matter less than the story. Oftentimes what, as practitioners, we spend a lot of time in methodology which is absolutely critical, but the stories that we tell each other are the stories that will move us to move in business and every time you take a speaking class the first thing that the speaking instructor tells you is, “What’s the WIIFM? What’s in it for me?” In order for people to literally listen to our numbers and to our stories we always have to apply the WIIFM for them otherwise there’s no movement in our work which is why I think a lot of us do what we do. And I think the last thing that I’ve learned along the way is that as a researcher we’re hardly ever the smartest person in the room. We just better be the best listeners, and that’s basically what I’ve learned. It’s your in constant questioning mode, like why is this and what drives you? And I think that’s actually the most important thing that I’ve actually learned in my career.

[00:11:45]

That’s really interesting. Social medial has completely revolutionized where the consumer attention is. Sixish hours is what I’ve heard that a large portion of our population is spending on social media a day. Especially in the context of outside of maybe sporting events you’re not really seeing any cable consumption among – especially among younger consumers. Having said that we do see there’s a lot of spend, the majority of spend for advertisers is still in the traditional channels. Are you seeing changes? Is BuzzFeed seeing changes in terms of spend among large brands and how they’re treating social media, and is that something that’s gonna shake out in the future?

[00:12:29]

Yeah, I actually think that what’s interesting is that regardless of time spent the most important thing that we know most advertisers are looking for continues to be reach, scale, and frequency. They’ve broken it down on that end. I think as we start to see more time spent on social medial what’s interesting is even when you look at the formats of which we’re spending time on they still sort of bladder back to the same kind of experiences that are traditional. Online video as an example. I think there was a really interesting article that just came out this week that talked about YouTube’s growth even this last six months in it of itself being an interesting social platform as well. And so I do see having been in this space for 20 years the growth of search display, protomatic and even in the last five to 10 years the ramp up of social spend and interest in BuzzFeed as the cohorts, I think, start to age out and we start to see millenials aging up and even the next post millenial generation getting into their early twenties I can definitely see the marketing shift and marketing spend actually shift along with it just because I think it’s gonna be natural that partners are gonna be where the attention is for sure.

[00:13:49]

So we see it – we know that there’s been a massive alongside the digital consumption, a massive increase of digital passive or behavioral data that you as a marketing researcher are exposed to. Are you turning to outside solutions to interpret and add/create a more comprehensive consumer persona, or are you building up or using tools internally in order to do that?

[00:14:10]

I think it’s a mix of both and one of the things that Jonah Paretti, our founder, he said to me once in a meeting, he’s like, “I find that we’re data full, not data rich.”

[00:14:23]

Interesting.

[00:14:23]

I loved that quote and [INAUDIBLE] because that’s definitely his and he’s not even a researcher. He’s a CEO – he’s a found of all these. I really love that because I find that one thing is that as we get to all these new rich sources are we leveraging them in the right way so that we’re building the right sorts of tools and even algorithms to actually be meaningful. If you think about algorithms they’re if and statements that use historical data to actually become a thing. And so really thinking about what those statements are in the first place and the underlying data I think is incredibly important. What’s the story supposed to tell? And so we do make sure, but I think having/continuing to work with really rich partners in this space that will help us I think is important. But then teaching folks internally to not fear data, being a part of their diet I think is really great. We do that pretty well with our data science team at BuzzFeed right now. [INAUDIBLE] leads that effort and his team does a phenomenal job just really bringing to life what data ultimately means to BuzzFeed and what it means to even our group and how we leverage it to tell stories as well.

[00:15:39]

With the trend in social media increasing and now Amazon released over 40 million news blip or 40 million Alexa units have been distributed which is meaningful part of US households now voice continues to disrupt us. In fact, part of my morning routine is this, “Alexa, give me my morning briefing.” “Here’s your flash briefing. Buzz Feed News [INAUDIBLE] ” “Alexa, stop.” You know what I’m saying? And it’s – and so this has been – so my whole household literally hears that in the morning. And it isn’t that I’m going to my mobile device or my desktop or whatever. I’m just consuming that content and it even follows me through the Alexa app into my car. So how is BuzzFeed seeing this trend to a voice world?

[00:16:31]

Well, I think what’s interesting is if you take a look at over the last five years or so there’s really this whole concept of digital going analogue. And even as I was working my way from Pinterest to BuzzFeed this whole notion of digital to physical, this whole concept of inspiration to ideas to action was something that we were starting to see built out. IoT and you know what voice is? It’s really tech for the senses. We literally started off by looking for technology platforms to help us when it comes to our cerebral and eye consumption. The eye part of it and even the touch part, and if you think about it auditory was really the next thing. As I start to look at what voice actually does one of the things that actually stopped older consumers from actually leveraging digital was it’s a little bit difficult to use. What I think is awesome about voice is it is a simplification of the extraction of information through Q&A. I ask Alexa for her to answer something and she literally can do it from questions, and so I think what this ultimately does is it further democratizes our ability to connect with knowledge. And if you think about what the Alexa apps can do or even Siri or even what Google is doing they are literally changing the game of what’s gonna be possible next with voice. And I think just the Q&A piece is first and there’s tons more opportunity.

[00:18:08]

I totally agree. My whole being is saying this is bigger than mobile. This transition that we’re going through is it’s revolutionary because I can consume and interact rather, excuse me – I can interact and then consume with information in a passive medium which I just simply haven’t been able to do so far. So it’s really exciting.

[00:18:35]

I was gonna continue to riff and say if you really think about the consumer side it’s not even just knowledge extraction, it’s going to change the way we shop when we run out of toilet paper. It’s the other day my kids they found the question and answer app, the story app so that Alexa now tells them stories and it’s gonna change marketing because we were fighting the first – the golden triangle in the first three positions in search. But the future of voice apps on the marketing side the platforms are doing fulfillment when I run out of paper towels. Who’s it gonna be that I get the paper towel from and who wins out? Is it the private label app the Amazon set up or is it Bounty? And so I think there’s plenty of questions that open up as we start to see this expansion and evolution of what voice actually really needs.

[00:19:27]

I know. It’s funny. You think – I have the – when I do my employee onboarding right now we have two slides. One is illustrating the consumer journey with purchasing paper towels through Amazon and it’s really interesting because you have lots of opportunities to be intercepted. Now it’s where is the opportunity for intercept in a voice economy? And so it gets down to if I’m a brand the thing that I care the most about is becoming the Kleenex of that brand. My consumer has to love me so much that they’re willing to say me by name when they do the purchase and it’s just a – it just changes everything. How brands react to that I think is a big question that I’m sure they’re asking.

[00:20:08]

I think what’s gonna be the next wave for researches to figure out is it consumer journey market research that we’re actually looking at or is it friction? How do you remove friction? And there’s gonna be cool businesses that are just built on removing friction and really that’s gonna be the big value prop for many market researchers and the kind of thing they want to talk about. Because if you don’t understand the why and you don’t understand the friction point to your point you’re not gonna be the Kleenex of that brand for sure.

[00:20:37]

Well said. When you’re assessing new market research companies to do business with, what are some of the key characteristics or offerings that you’re looking for nowadays?

[00:20:46]

What’s great is I look at really smart minds that think out. It sounds so cliché but to think outside of the box or to think one step ahead of the consumer, but more importantly that identify the reasons why consumer do what they do to literally one sentence. We’re kind of in a place right now where we have all of this data but the key insight is still just one sentence from all of that data. And so working with people that can distill that down and really kind of create things that make it all grow. That’s so true. I think it’s really what I look for and I think it all begins with like even when we were working together back in the day Hall & Partners can decipher great partnerships. We were joking about this earlier. There’s no such thing as vendor, clients, whatever. It’s really partnerships because you want to learn and work together and build together and I think that’s the – when you find someone like that you kind of build this really awesome rapport that can actually lead you to really great answers that you have questions for.

[00:21:49]

You’re hitting on a couple points, and one I really want to hone in on is you’ve gotta be – as a supplier you have got to be there for your customers no matter what. I reflect on there was one project in Hall & Partners and it didn’t go great. It was in the field. It was a tough sample and the provider fell out and so we were literally on conference calls over Christmas Eve and then on Christmas Day getting this stuff dialed in. And there’s this whole value chain I think that’s created there because it wasn’t just us on the phone but it was also our suppliers on the phone making the save and getting it to you guys so your customers are satisfied on the post-holiday insights. So that’s a – you’ve gotta have those – when they don’t answer the phone it’s a big problem.

[00:22:37]

And I think that that’s where the partnership comes in which is there’s no such thing in my mind still as supply versus client. One of the things it’s like any great relationship you give and you get what you give. And so oftentimes I think one of the things that has been really fun to do is treat each other really well so that you would want to get on the phone over the holidays because you could have easily said, “I’m out until January 1st” which you guys were awesome to never do.

[00:23:09]

And see that point is so key. I teach an MBA course and one of my narratives is in – is on LinkedIn how important it is to connect with your peers and even those people that are just starting their careers because those are the people that are gonna be an influence over the next decade or two and so it’s vital that you treat them like that and that also you put yourself in the seat of the people that you’re serving whether it’s your boss or a customer. Because that will inform your personal brand over time.

[00:23:42]

And then I think it’s even more important when you’re on the “client side” how you’re treating your partners because what’s so great about this industry is it’s so small and in one flip it could be reversed very easily.

[00:23:59]

I have a dear friend who will remain nameless, but he wasn’t particularly kind to his vendors and unfortunately due to some layoffs he found himself out of a job and he actually said, “I really wish I would have been nicer to my vendors.” But anyway, so last question, our listeners are insights professionals. As BuzzFeed, what is the one thing you want them to know about?

[00:24:24]

I think BuzzFeed has been crating content that connects at a human level for over a decade now and there’s an accessibility to it that makes it so worthwhile to study. When you take a look at the success of some of our brands, Tasty, which is our food brand, almost every single person on Facebook has probably seen a Tasty video which is the over the head camera shot of hands making something. People ask us often how is it that you have the largest food channel on Facebook? How is that you have engaged over 500 million users, and how is it that people are coming back to this? And I think that the reason is is when you take a look at the actual design of what we wanted, we went where the consumer was at. I think that was the first thing, and we really didn’t look at controlling that brand on our owned and operated site. We weren’t where the distribution was and where the consumer behavior was. And I think the most important part was the way we actually think about content is through the lens of accessibility. When we think about that brand people liked it because it was not just accessible but inspiring and it helped them discover something. That was actually drawn up through consumer behavior studies where we really looked at what the brand meant. And I think that’s what we’re looking for today as consumers. We’re looking for brands to be next to us. We’re not just looking for aspiration but that accessibility to a brand not making us feel bad that we don’t know how to boil an egg or boil water for – and so there’s something to that that we’ve really connected on and I’m proud to actually be here because when you take a look at that whole concept of accessibility, our diverse talent, our connection in the way we actually think about news, it’s really all within what we actually stand for. And so it’s sort of a really fun thing to think about the human condition and to think about what the brand means and how to build that experience. And that’s why I’m really proud to actually be here.

[00:26:28]

My guest today has been Edwin Wong, Senior Vice President of Market Research at BuzzFeed. Edwin, thank you very much for your time.

Happy MR Podcast Podcast Series

Ep. 105 – Merrill Dubrow, CEO of MARC

Today we are joined by Merrill Dubrow, CEO and President of MARC Research. Being a CEO of a full-service marketing research firm is not the only thing you’ve got going on. You serve on University boards, you’ve served as President of the AMA Boston, you have a blog, you and Steve Schlesinger put on CEO Summit. You’re not just a CEO, you’re a leader of CEOs.


[00:00:00]

Well, Merrill Dubrow. Thank you very much sir for joining me today for the Happy Market Research podcast. You are a busy guy, a CEO as I know firsthand is time is valuable but having said that you also spend a lot of time after hours on University boards. You’ve served as the president of AMA Boston. You’ve had a blog for a decade. Additionally, you and Steve Schlesinger put on that CEO summit that’s had major lift for you guys. As a leader of CEOs, what is the number one skill that you think CEOs bring to the table?

[00:00:43]

Wow. Well first of all, before I answer that question, Jamin, I want to thank you and Alexandra for inviting me to the podcast. I’m really looking forward to being part of it and what you’re doing here is really unique and I think beneficial to the entire research community. To answer your question, I don’t know if I can give you one answer. I don’t know if I can sit there and tell you what’s the number one skill that every C level employee could or should bring to the table. I think that really depends on the CEO. But I can answer it from my standpoint, which is you’ve got to be self-aware and you’ve got to be able to allow yourself to have a self-evaluation and trust people around you. So constantly when you have – I believe I’m never going to be the smartest guy in the room. I believe I’ve made the most of my skill set and the reality is I can say, hey I need to get better at blank. So the interesting thing, you mentioned my blog for 10 years which I did three times a week and I wrote everyone except for a few guest writers. I’m not a great writer. I have good idea, but I don’t have great punctuation or grammar and I was able to, through this self-aware and self-evaluation understand that, know that and surround myself with people who could help me through that. They didn’t re-write the stuff, they just made sure it made sense. So for me the number one skill is this self-awareness. Give yourself the self-evaluation to know that, hey I might not be great at finances or I might not be great at management or I might not be great at sales or I may not be great at something else and being able to surround yourself with the right people and also try to get better at something every day. So for me it’s what I’ll call jamming 900 seconds, 15 minutes a day I try to get better at something. Whether that’s be a better marketer, be a better executive, be a better son, be a better brother. It doesn’t really matter. That’s what I would say for me for where my career is right now. I would say to have that self-evaluation and really be self-aware of what my strengths are, but more important, what my weaknesses are and do something about it.

[00:02:49]

Yes, so it sounds like you’re doing two things there. One is you’re hiring people to support the blindspots or weaknesses.

[00:02:55]

Right.

[00:02:55]

The other part is you’re leaning into those in terms of intentional training. Do you think you spend, using your rule do you think your spend more time on improving your strengths or bolstering your weaknesses?

[00:03:10]

Yes, and there’s a lot of books on that. I actually try to improve my weaknesses. So I’ll go after some things that I might have some blind spots, to try to improve and look, I remember and you’ve seen me on stage a fair amount. The first time I presented which was in Nashville, Tennessee at Opryland Hotel, I did it – this will show everybody who’s listening how old I am. I did it on index cards and I was visibly shaking and my voice cracked when I presented and that was the first time. So in my 20s, in my early 20s I did that and knew that being a good communicator and trying to get your message across to attendees and colleagues and bosses was going to be important to my career. So I really worked hard at that over the years and I think I’ve done a good job and probably I’m an above average presenter at this point. Still trying to get better, but I go after my weaknesses. I go after the stuff that I know I need to improve. I think it’s helped me so far.

[00:04:12]

Yes, I think this idea that greatness is born, not made is completely bullshit and –

[00:04:18]

Yes.

[00:04:19]

It means the people that are successful and the value that we’ve built in our own lives by intentionally focusing on – I don’t know if your read the blog post that I did on the subject of procrastination, but I actually talked about one of the times that I completely failed as a speaker and for me, that was a big opportunity to just focus on anytime I can speak I take advantage of that. Even if I’m out of pocket, I’ll drive or fly if I have the opportunity to because I want to improve on that particular thing. People see me on stage and they’re like he’s OK, he’s pretty good, whatever. The point is that it’s something that I continue to work on and a craft I continue to hone. So I think that’s just such an important point. You’ve got to focus on those weaknesses and improve them if it’s something that is important to you.

[00:05:03]

Totally agree.

[00:05:05]

So what in market research is adding the most value right now to businesses?

[00:05:10]

Yes, I think – it’s a really good question. We’ve all been in sales meetings, we’ve all had client visits, capabilities, presentations and we’ve all looked over in the corner and there’s some beautiful bound research reports that are collecting dust and have never been used and have never been implemented, integrated within the enterprise. The most – where market research has really added the most value right now is a true partnership. Not a vender/client relationship. A true partnership where you can ask all the hard questions, you can deliver insight and what we try to teach our team is what are they doing with the research. How can we help integrate that within their enterprise. Are we going to get chances to talk to the brand manager, do we have C level interaction? Is the CMO going to be involved? What about the VP of marketing? Where does this report go after we deliver it to you? Who is in the room on the final presentation? So for us, whether it’s a tracking piece of business, whether it’s a quick study that we do, concept testing that’s in and out, we try to ask those other questions because we want to make sure that any research we deliver Jamin, doesn’t just collect dust. We want it to be used. They’re spending, clients are spending a lot of money on these tools and on these management reports and from our standpoint, the companies that really are adding the most – where research is adding the most value, use the research and it’s a funny bit but now clients do that. There is a lot of client turnover and a lot of stuff just gets lost in the shuffle. So I think that’s really where the most value is today, right now.

[00:06:57]

I remember, I had a – this is a true story. I did a qualitative study for a client who will be unnamed and delivered the report and it was just this really tight two page executive summary. Took me three months of flying around the world doing the qualitative and I handed it to him, he looked at me and said – and dropped it on the table and said, it’s too light.

[00:07:19]

Right.

[00:07:20]

True story. So I had to then pull an inch worth of content. By inch I mean in terms of the number of pages and then it was adequate. So it was a completely different measurement than today.

[00:07:33]

Yes, no that’s funny.

[00:07:35]

Hey listen you do a lot of work with young professionals. What do you look for when you’re going to hire someone who is starting out and what skills do you think they should be focusing on developing?

[00:07:46]

Yes. So it’s funny because everybody has this lunch test now. Do I want to have lunch with the person across from me and if I do then maybe I’ll hire them and if I don’t, get them out of here quick. For me, one of the things I look for is a thirst for knowledge and if you have a thirst for knowledge, you will ask questions and you’ll listen to the answers and hopefully you’ll be able to process that and hopefully you’ll be able to really think about it, what it means to you in your job. I like to surround myself once we’ve hired people. I don’t want people to do their job. That’s what everybody wants. I want people to think about doing their job. So I want those extra two words at the beginning of the sentence to really apply because let’s think about it for a second Jamin, if you think about doing your job, what happens? Chances are you do a better job, you gain efficiencies. Chances are you’ll have a little bit more fun. Chances are you’ll deliver a better product. Chances are you’ll make everybody around you look a little bit better and everything is a win-win. But too many people don’t. The other question I have to answer and mine isn’t about can I have lunch with this person, although I love to have lunch, is are they trainable. Because no matter who comes into your enterprise you have to train them. You may want to tell me you only have to train them for three weeks as opposed to three months or two years. But you have to train them and if they think they know everything and they’re not trainable then it’s a no-go for me and recently in the last 90 days or so, we’ve really – when you make a bad hire it costs you a lot. If you hire somebody for $100,000 and you hire them for upwards of 6 months, well now you waste $50,000 plus benefits. So 20% and now it’s $60,000 plus expenses, etc. but it’s also the cost of doing business and the opportunity cost. So the reality we use something called the AcuMax Index, which tests – which is a quick survey. It takes about three minutes to do it and basically it’s a tool that tells you how people are wired in the environment that they work well within. How they communicate and how they like to be integrated within a company and it’s been a lifesaver. Everybody in the company has taken it, everybody we’ve interviewed has taken it, anybody we’ve hired in the last 3 to 4 months has taken it. We use it with clients of ours to pick teams based on communication styles because as know, all clients are a little bit different and it’s been an unbelievable tool. Now there’s about 250 of these tools in the country, this is one of the few that has wiring as part of the metric and the algorithm and it’s really worked well for us and it’s unbelievable. It’s already saved us a lot of money.

[00:11:00]

When you guys are hiring you think about the – hiring is a lot like a sales funnel, right? So you’ve got a vast number of people hopefully that are applying for a job and that kind of whittles down to those that have great resumes, etc.

[00:11:12]

Sure.

[00:11:12]

How – what would you recommend – what are the key tools or what do you look for in that top of the funnel to help somebody get from an expressed interest into the job to actually get that interview?

[00:11:25]

Yes. I think – look for me, it’s a little bit about networking. I’m a big proponent as you know about LinkedIn. To me it’s the number one management tool out there that, oh by the way it’s free pretty much. In the world I don’t know how people – most people are doing their jobs without using all of that, utilizing LinkedIn. Now just level set, I do use it a time. I have almost 26,000 connections. So I think that for me and the people that we’ve hired, they’ve wrote a compelling quick email or they’ve referenced something in our business or they’ve referenced somebody in my inner circle or they come highly recommended. That will get my attention. That doesn’t mean it’s the sole purpose and the sole way you get my attention but you’re right. If I have 100 resumes that are coming in blind, it may only get five that get – but if I get ten resumes from Jaime or Steve Schlesinger, all ten will be reviewed, all ten will be talked about and all ten will be interviewed. Because I know that if you’re calling me or sending me an email or suggestion through a text that I need to interview Freddie or Sally, I know you’re thinking about the best interest of my company and I’m going to do that. That means you’ve seen something and that means a great deal to me. So that really is the number one thing.

[00:12:54]

Got it, networking critical.

[00:12:58]

Yes, it’s people plus having access to people like you and Kim Monston and Kathy Allen from Decision – Steve Schlesinger. All these executives who run companies who are all in different parts of the United States who come from different backgrounds who come across different resumes and different potential candidates. It really is another set or two or five of ten of eyes that really can help you move your business forward.

[00:13:34]

Right. Yes, that’s a good point. So when you started your career of course you were not a CEO of a major market research company. You entered the front door just like everybody else and now as you reflect back over that time, what is the biggest lesson that you learned?

[00:13:51]

Well I’ve got to tell you something. Being as old as me and being in the industry for 33, 34 years, there’s a lot of lessons. But I would say the biggest one is profits cover up problems and not too many years ago, we were flying high, couldn’t do anything wrong, it was unbelievable hitting. Every month was a new record. Whether it was revenue or profit, didn’t matter and I could sense that there were some things that were a little bit awry but when everything is going great, I didn’t react to a few things that I should have because they were covered up by profits and that’s been the biggest learning for me that will never happen again and it’s something that I think has been extremely valuable. So when things are going great, continue to make those strategy moves. When things are going great, continue to look at all your metrics. When things are going great, continue to improve on every single on them and continue to look for those efficiencies and don’t get complacent at all. So that’s what I would say.

[00:15:04]

There’s a lot of narrative around what is the role of market research in today’s world. Seems like it’s been evolving, maybe even displaced by some of the integration of what would be marketing research technologies inside of WordPress websites or what have you. What do you see as the biggest miss in the market research industry over the last five years?

[00:15:32]

Jamin, have you ever seen a – have your kids ever played or your niece or nephew ever played soccer? Right, as a –

[00:15:39]

Of course.

[00:15:40]

Seven or eight, nine year old? So the ball goes to the left and what happens?

[00:15:45]

Everybody goes to the left.

[00:15:46]

Right and then the ball kicks across the field and it goes to the right. Then what happens

[00:15:50]

Same thing, everybody follows the ball.

[00:15:53]

So I just described to you the market research industry and the problem is that sentiment analysis, everybody go. Biometrics, go. itracking, go. Bid data, go. What’s next, artificial intelligence? Yes and the problem is that everybody gravitates, every single company out there gravitates to the next biggest thing and I think that’s a huge miss for a lot of companies and what I mean by that is you’ve got to have the right technology for your company, for your staff and for your clients and oh by the way, you’ve got to make money at it and if you can’t, do go after that piece of technology. I’m not saying don’t take technology and integrate it in your enterprise. I’m saying take the right technology that makes the most sense for your company. Don’t chase everything because if you chase everything, it’s going to be costly, you’re not going to understand what the deliverable is, you’re not going to be a guru in thing and it’s going to cost you money I guarantee it.

[00:17:03]

The lack of focus, big problem.

[00:17:06]

Yes. Well I think so.

[00:17:09]

Yes. Good. So looking forward now, what are you seeing as the major change and continuing your analogy of the grammar school soccer team, where is the – to Wayne Gretzky now, which is his famous quote I think is, I don’t go to where the puck is, I go to where it’s going.

[00:17:30]

Yes.

[00:17:31]

Where is the puck going?

[00:17:32]

I think the companies that are going to have the most success are the companies that build products and services that are very quick, that are – probably have some type of automated or do it yourself platform that clients can react to quickly. What we as researcher probably all don’t understand or want to understand is that our clients are getting asked from the CMO or VP of marketing of brands, I need an answer to this problem now and now means yesterday. We don’t have the luxury anymore of 6 months or 8 months or 9 months. It’s now and the products and services that can meet those challenges, and I think there’s a lot out there but not as many as there could or should be, are really where the future is going to be and I think that my sense is that corporate departments are going to continue. I don’t see them growing a ton. I think some will but I think a lot of them are going to continue to streamline as they work through these product mix that’s going to be quicker delivery and be able to allow them to really move their business forward. So I think that’s what’s going to happen as well.

[00:18:59]

So kind of piggybacking on that, is there – are there specific products that M/A/R/C is pushing to help meet that demand?

[00:19:11]

Yes, I think – yes. We introduced a new product on the Zappi platform about 17 months ago. Actually Monday was our 17th month anniversary.

[00:19:21]

Congratulations.

[00:19:23]

Thank you, thank you and we had our first client on day five, after we established a product and went live with the service. So we had our first client day five. I think we had three clients in the first three weeks. We had almost – we had a little shy of $100,000 revenue in the first month. So – and we’ve been on our way since. So I think for us it’s continuing to build some additional do it yourself, automated platforms that clients can really benefit from quickly, that are priced reasonably. Then that allow clients to get the insight that they need in their enterprise to move it forward right away. So we’ve got a couple more coming out in the next couple of months. So be on the lookout for them and I think that back in the day Jamin, we would all build products and not have a revenue stream for what, maybe 8 months, a year. You can’t do that anymore. I don’t have time, you don’t have time. We need to have revenue streams pretty quickly.

[00:20:28]

So are you building out technology internally or are you leveraging other providers that build out the tech?

[00:20:35]

Most of it is externally. We’ve done some – with Zappi we had a very successful hackathon that we were able to figure out a way which was very, very interesting because we did about 7 or 8 months of work in 6 days. We’re into the middle of nowhere in Texas and 21 people, 14 from them and 7 from us from I think – I don’t know, 12 different countries got together really in 9 miles past the middle of nowhere in Texas where internet didn’t really work and the phones didn’t work half the time and we built a product and were able to do that. So some is internal, a lot of it is external and it’s making sure that we’re picking the right partners to move our business forward.

[00:21:21]

Awesome. That’s all my questions, Merrill. Is there anything else you wanted to cover?

[00:21:25]

No. Thank you. Thank you, thank you, thank you. This has been great, hopefully the answers will help some folks and I appreciate you having me as a guest today and we’ll talk to you soon.

[00:21:36]

All right, Merrill. Thank you very much and thank you everyone who is listening, hope you have a fantastic day. Bye-bye.

Happy MR Podcast Podcast Series

Ep. 101 – Developing Software that Works

Today we are talking about tech and software. We are investigating the ways that market research should help to drive business decisions about app development. Here are the questions we answer:

  1. What are some simple do’s and don’ts that you can share?
  2. What makes software work?
  3. How do you determine value? Or, how do you figure out what people need and how to fill that gap?
  4. What are some ways that market research can be deployed to maximize what many companies are doing, especially in the app or web app space?
  5. Let’s say someone has the idea for the next big app. What sort of market research should they do before they even get started?
  6. What would you say to a company that has already created the app and they’re ready to take it to market? What are some key points to research as they prepare a launch strategy?
  7. And finally, what about for a company that has an app or web app for years. What can market research do for them, you know, with the ship fully out to sea?
Happy MR Podcast Podcast Series

Ep. 102 – How to Fail Small

This is a lesson I (Alexandra) learned from Jamin, a few years I started the Happy Market Research Podcast. At my previous job, you were advising a company about a product they were working on, which didn’t end up panning out. From there you taught us how to fail small on the next product they followed up with.

    1. What does it mean to “fail small”?
    2. What are some action steps that people can put into practice now to start learning about what works and what doesn’t today?
    3. What does “failing small” look like in the context of market research?
Happy MR Podcast Podcast Series

Ep. 103 – Nihal Advani, CEO of Georama

Today we are joined by Nihal Advani, CEO of Georama. Here are just a few of the topics we covered.

  1. Tell us a little bit about Georama, your product and what problem it addresses.
  2. Who is the ideal customer of Georama? Is it a brand or a market research agency?
  3. At its core, market research answers business questions. How is Georama improving that answer over the competition? Who do you see as your competitors?
  4. You have an impressive background. You’ve been at Google, at Microsoft. What are some of the biggest takeaways from your professional development that empowered you to launch your own business?
  5. Coming from the tech industry, what is your perspective on market research and the value it brings to your business?
  6. I understand that you had to a do a big pivot at Georama. Tell us about that transition. How did you determine when to make the change?
  7. What advice would you give entrepreneurs on when to make a pivot?
  8. How does MRx inform your product roadmap?
  9. What’s the biggest roadblock to new customers?

[00:00:00] All right, welcome back to the Happy Market Research podcast. Today we are joined by Nihal Advani. Did I get that last name correct, sir?

[00:00:11] Yes, you did.

[00:00:12] He is the CEO of a funly named company, Georama. Welcome sir and thank you very much for being our guest.

[00:00:20] Thanks for having me.

[00:00:23] I’ve just got a couple of questions for you. First of all, it’s an honor to be able to interview someone who’s in the beginning parts of their startup so to speak, entering into the market research space. I know it’s like a terrifying – [LAUGHTER] right? Yes, exactly a terrifying point and so I’m excited about this conversation. Maybe you could tell us a little bit about your company, your products and what problems you’re addressing.

[00:00:47] Sure. So the company’s name is Georama and what we do is we’re all about qualitative insights in real time. What we’re doing differently is that we’re helping researchers, whether that be brands or agencies remotely gather qualitative insights while people are in the moment. But doing that all live in that part of sense. Anywhere in the world can be using either smartphones, smart glass or even a 360 camera to share their perspective when they’re completely mobile in their natural environment. Whether that’s indoors doing an in-home activity or outdoors doing shopping and it allows the researchers to not just watch them live but actually interact in real time to probe them, essentially providing the only true digital parallel to be there in person. So that’s what we do in a nutshell. It’s all about deeper insights at global scale, faster and cheaper.

[00:01:30] Got it. So normally when you think about a buyer in market research there is qualitative buyers and there is quantitative buyers. So people that are doing the surveys and then there’s a group that’s wanting to do perhaps even both. What is your ideal customers?

[00:01:45] So for us of course it’s all qualitative. They may mix and match us with quantitative studies but we’re focused on the qualitative side of things and we actually work equally with brands and agencies. So there is many market research agencies we work with. We also work with design firms, we work with ad agencies as well at times. But we also work directly with brands. Whether that be CBG brands, retail brands, [INAUDIBLE] or even some pharma. The end result is anyone who is looking to get qualitative insights. Sometimes what happens with the brand is they want to do quick projects just themselves and our technology makes it more scalable so they can do that in-house if they want to, but many a times they are partnering with brands, whether our client is the agency and bringing the brand on board or our client is the brand and then bringing their agency of choice on board. It works either way.

[00:02:24] So can you give me or and the audience a specific use case? I’m actually really interested in one of the demos I saw where you had the glasses, the camera imbedded inside of the glasses. Maybe walk through what that project looks like from inception to final delivery.

[00:02:41] Sure. Think of let’s say a shopper study and I’ll give you the flow both for a smartphone as well as a smart glass, where someone can use our platform to create a project, set up what we call sessions. Which is essentially a live or recorded media interaction with participants and that session can be done through either smart phones, smart glasses or 360 cameras. Smartphones is of course the easiest logistically because they can simply download our app and go live. Smart glasses requires an additional step where we take care of it in that we ship the smart glasses and we get them back, but it allows you to be even more natural and hands free. Especially for certain types of activities. So in a shopper scenario you may have some pre-set tasks and questions. Things like please enter the store, please go to XYZ aisle, lease start shopping and talk aloud. What did you notice first and any few fundamental questions, just giving the participant some structure as to what to do and the flow of things. But the value of watching it live with our platform is that you can probe them and so on average what we’re finding is clients will set up 10 to 12 pre-set tasks and questions but then when watching live ask 60 to 90 additional questions, based on what the people are doing, saying, seeing, even they have maybe missing and therefore just getting really deep with these participants and when it’s with the smart glass it’s all done through audio. So they’re not looking at their phone, everything is done through voice where you can send voice message or any text messages as you send are converted to speech and heard by them and they can of course respond verbally versus with a smart phone they’re seeing these things on their screen. They even have the ability to tap on their screen if you want to throw in a small amount of quant. stuff in there as well. But yes, that’s how it works.

[00:04:12] Perfect. So getting all that data and video format, super exciting. The ability to be able to interact in real time also – this synchronous sort of qualitative is unique. But the other thing I thought was interesting about your platform is the reporting tool. So how you consolidate that data. Do you want to talk a little bit about that?

[00:04:34] Yes, actually I should have mentioned earlier so thanks for bringing it up. One of the equally important things we do apart from helping with data capture is actually the AI. So as part of our vision of making quant. more scalable, one part of it is making it easy to capture natural data from anywhere, anytime. But the other part of it is to help analyze that data faster and present it faster. So everything we do automatically of course is recorded. Everything is automatically transcribed through a machine transcription and we have really custom modeled a whole bunch of stuff. So we have a very high accuracy in terms of translation and transcription. But beyond just that we are analyzing the text, analyzing what was said and seen and showing key words and themes and topics that were generated based on what was said, providing sentiment. Not just overall sentiment and emotions, just not overall but at the entity or at the moment level and also providing visual object and seeing recognition where you can actually just skip to the moment where in that same shopping scenario you could skip to when somebody was outdoors, indoors, at the shelf, considering the product and same thing with all your keywords. If you want to go to the moment maybe if they talk about price or they talk about problem of choice or whatever it may be, you could actually skip to those moments. It’s all culled for you automatically, very, very quickly so that you can skip to the moments that matter and once you do that you can actually drag and drop these moments into a visual presentation type tool that essentially lets you just drag and drop and create a video montage for each team. A bucket that you made for it. You just hit a button to generate a report and hit another button if you wanted to download it onto PowerPoint. So the end result is you’re getting from recruit to capture, to analyze, to present, much much faster with our platform.

[00:06:12] Yes, that’s perfect. I love the getting to moments that matter in qualitative. I’ve done qualitative for 2 decades. It’s just catastrophic in terms of the impact on time. If I do an hour worth of IDIs it’s probably two that I’m pouring back into it. Just trying to take out the pieces that are interesting. So yes, that’s a –

[00:06:33] Yes and a lot of the people we’re talking that sometimes they say it’s one to four. One hour of video is four and we’re now making one hour video less than one hour for it, because of our tool. Much less in fact.

[00:06:45] I’m just that much better than all those other – I’m just kidding.

[00:06:51] That is true, you are.

[00:06:52] Before starting Georama, you were at both Google and Microsoft. Which are big deals. So what are some of the big take aways you had while working at those companies that enabled you or empowered you to start Georama?

[00:07:06] Yes, you know I started off at both those companies and learned a ton as to how to deal with customers, how to manage customers, manage relationships. I was also in product roles by the end of it. Strategy roles, analysts. So I was in a bunch of roles all those years and kind of allowed me to deal with different types, manage people, understand how to deal with developers, cross country teams and so I took all of that when I was launching my company. That said no matter what you learn at a big company when you go to a small company, as I’m sure you’re aware of now, it’s a whole different ballgame. It’s just, you don’t have the budgets, you don’t have any planned equity. You’re just starting from ground zero and so a lot of stuff you learn in a big company actually just goes. It doesn’t really help in that environment because you’re building things from the ground up. So although you take some of those things and many of them help a lot, there’s a whole bunch of other things and a whole bunch of other challenges that you’ve never ever faced remotely even faced at a large company that you start to deal with in the small company and that’s really the hard part.

[00:08:06] Yes. You know, market research is interesting because obviously you’re servicing that industry. Did you apply market research in starting, as you started your business? Maybe you could walk us through really that journey.

[00:08:18] You know, I did but probably not enough for the first time around and we did make a big pivot in between and when did make that pivot, we made sure to do a whole bunch of research to make sure we pivoted the right way. But when we started we were doing a whole bunch of things wrong. Live video and the platform was used across things like inspections, education, from campus tours to virtual field trips to a whole bunch of different scenarios within mobile, live environments and although we had some success, things were not necessarily having the hockey stick goal that we were hoping for. So last year we sort of hit the reset button because we always had great technology, we probably perhaps just hadn’t found the right market yet and that’s when we did a whole bunch of research to figure out that, just turned out that research or customer insights was where our technology was most fit. Because previously we were helping people explore places remotely and now it’s all about helping people understand people remotely and so that’s sort of that pivot that we made.

[00:09:14] What advice would you give an entrepreneur who is just starting out?

[00:09:18] First, do your research so that you can try. Your business of course is always going to change, so do as much research as you can. Don’t waste too much time though because many a time it’s all about iterating and having that late start up mentality. But beyond that, pick something you love because this thing is not going to be easy. It’s going to be more stringent than you could have ever imagined, but as long as you have that passion, you have that persistence and then you have the ability to pivot, I think you’ll be in good shape. I call it the three piece of a startup and so that’s really what I think it takes.

[00:09:51] So being new to the marketing research – or relatively new I should say to the marketing research space, what were some of your early roadblocks to getting into customers and how did you address them, how did you know them down or how are you knocking them down now?

[00:10:05] Yes, I think one of the key things for any start up in any new space is just how you raise awareness and we’ve actually – we still have a long way to go but we’ve done a pretty good job in that we’ve used a couple different techniques. One is of course showing up at industrial conferences and we’re now going to start a whole thought leadership aspect of things. I think that’s one of the opportunities for us, but we actually use AI because we think of AI all the time to find a way to actually do sales of skill. Because we do have a small team we utilize especially on the business side. We have a much larger technical team than our business team and so we’re like, how can we reach more of these clients in a very personalized way even though we don’t have as many people who can be sending an email or making a phone call and so we’ve used AI based tools to actually reach out to a whole bunch of people and get our names out there and I’d say honestly over 90% of our clients or our pipeline come from very strategic email marketing through AI. So that’s been one of the things we’ve done really, really well that has helped us kind of get known but there is still a long way to go and getting your name out there, being in a space, having some nice clients that you can show in case studies you can show of course goes a long way.

[00:11:14] Do you have a head of marketing?

[00:11:17] We currently don’t. We actually just, going through a transition on that. So I’ve been closely involved on the marketing side. I do have a marketing background myself, but yes. We did recently, actually earlier this week hire somebody in the marketing department but we will having a head on top person as well.

[00:11:34] What do you see is the role of social media as it specifically applied to selling into marketing research?

[00:11:41] It’s interesting, they’re still speaking aloud in our past iteration of the company we did use social media quite a bit and did fairly well at it. Now we’ve started – yes, we’re kind of resetting our strategy but one thing I think is a good avenue is kind of using thought leadership [INAUDIBLE sounds like: or quick nuggets]. In fact, one interesting plan we have is leveraging our own technology to do quick qual research for hot topics interesting insights and actually using social and of course skewing more business social but any kind of social to kind of put out those insights there to not just give people some interesting things to think about so subtly promote how we did this so quickly through Georama. So that’s one of our strategies we’re about to put into place soon. I think social can be interesting, it just has to be done right considering it’s B2B and not just pure B2C.

[00:12:25] Yes, I think that’s a really interesting point that you’re making. When you move into social, the thing that I am finding is resonating is how the sausage is made as opposed to the actual sausage itself. So the behind the scenes application of your technology and how you gather that information is part of the narrative beyond just the Britney Spears did this silly thing or whatever the trending topic is. So certainly you can hack through and get some followers that way and eyeballs. That’s fantastic. I completely agree, but the other side of it that I think is interesting is as you narrate your story in social media while you guys are actually doing your projects, then internal then it starts giving the consumer an opportunity or a script to then follow and apply to their own workflows. Anyway that’s cool. I’m glad to hear you guys are thinking about that. That’s all I’ve got. Do you guys have any technology you want to highlight or anything coming up?

[00:13:23] Sure, yes one of the things is so far we’ve been focused on in the moment projects and that’s been great, but what we’ve realized is there’s so much more to qual. and so actually over the next month we’re about to very rapidly ramp up our capabilities and offer sort of across the gamut all kinds of qual groups and so a company, whether it’s a brand or an agency can now come to Georama starting next month for any type of qual. project. Whether that be an IDI, focus group type project or in the moment or a diary type study. So that’s a thing we have, the most exciting update that’s coming from Georama.

[00:13:55] Yes, perfect and I’ll go ahead and link all that in the show notes. So be sure to, if you’re listening to check out Georama and the appropriate links in the show notes. Sir, that is it for the Happy Market Research. I really appreciate your time today.

[00:14:10] Same here. Thank you so much.

[00:14:11] Have a great day.

Happy MR Podcast Podcast Series

Ep. 104 – An Interview with Jamin

Tell us a little bit about your background.

Jamin grew up on a farm in Visalia which taught him the grit of working hard. His father had the foresight to know that tech was going to set the future of industry and bought an Apple 2 for the family. He gave Jamin the opportunity to learn programming and tech, which he parlayed into a small web development business.

How did you end up in the market research space?

From the web dev jobs, Jamin was hired as a market researcher at a boutique firm where he met Jayme Plunkett. It was there that Jamin first realized that using the internet to distribute surveys would cut research time (and therefore cost) into a fraction of what it was before.

Why did you start Decipher?

Jamin is always looking for ways that tech can reduce time, difficulty, friction in daily lives. That first test of web delivered surveys was the seed of Decipher.

What does happiness mean to you? Why is the podcast titled Happy Market Research?

Jamin loves to have fun, and one of his favorite ways to spread joy is to provide that “aha” moment for clients. When they really understand what the data means for their business, they are able to make the right decisions.

What core belief is most essential to your worldview?

During a father-daughter dinner in Sacramento, Jamin noticed homeless people setting up camp for the night on the lawn in front of the capitol building. He pointed this out to his daughter and asked her, “Which would be better, to spend our money protecting and bettering our family or on the people out there?” Her response was that to spend it on the people out there is to spend it protecting their family. Making the world around you better, makes it better for oneself in the process.

What does market research really do for businesses? Why should businesses pay attention to it?

At core, market research facilitates answering a question. Businesses want to ask questions of their consumers. If you have millions, hearing them clearly becomes very difficult. That’s where market research comes in.

What is one of the biggest opportunities for market research?

Market research isn’t merely about finding the data and delivering it to the businesses. It’s also about interpreting it. As tech progresses, businesses have more, faster, and easier tools to directly access customer data. But market researchers have the training and background to deliver big insights — to be the “keepers of why”. We should continue to provide that and do it even better in the future.

Where are you now? What are you looking to do in the future?

Obviously Happy Market Research which has this podcast as well as MRx News. Happy Market Research also has a consulting arm. Jamin is also doing small tech and market research investments through Vine Venture Capital.