Synthetic Data’s Foundational Problem
Synthetic data may miss rapidly changing opinions
Aug 18, 2026 · 38 min · 14 segments
On this episode, host Sima Vasa talks to Michael Ramlet, Co-Founder and CEO of Morning Consult…
Michael RamletGuest
Seema VasaHost
Let's talk about the people that buy your information, the people that need this real-time insight.

Who are some of, kind of, your target audiences when you think about Morning-- as-- who, uh, basically purchase Morning Consult?

Yeah, so it's obviously gone a long ways from being $30,000 in angel capital in a room in Eastern Market today, well over hundreds of millions of dollars in revenue.

I think what makes us unique in the industry is we're also incredibly diverse across functions, so it's not just the insights buyer, it's also we're marketing or comms, it's also government affairs, public affairs, the strategy function, the finance function.

In large part 'cause I think we took a pretty broad view to what is survey research.

You know, a lot of folks think about it in the context of, like, political polling, or they might think about it in the context of, like, corporate market research.

The majority of economic data that's used is actually survey based, and that was also an area where I think we were keenly interested in things like consumer confidence, consumer spending, labor force participation.

But then our fastest growing client base right now actually is in professional services and financial services, so we work with most of the large global management consulting firms, communications firms, advertising firms, and then the majority of the world's central banks rely on the data.



We do, instead of 600 interviews, 600 interviews once a month with a three-week reporting lag, we do over 6,000 a day on those questions in the United States.

So it's great because every day when we wake up, we know we're gonna do at least 30,000 interviews.

But I think that dynamic, it makes it really interesting and exciting to wake up every day, 'cause you just don't know what kind of problem you're gonna work on.

And when you first started and evangelized this need, obviously the need was there, and you got clients to buy into it.


Let's talk about the people that buy your information, the people that need this real-time insight.

Who are some of, kind of, your target audiences when you think about Morning-- as-- who, uh, basically purchase Morning Consult?

Yeah, so it's obviously gone a long ways from being $30,000 in angel capital in a room in Eastern Market today, well over hundreds of millions of dollars in revenue.

I think what makes us unique in the industry is we're also incredibly diverse across functions, so it's not just the insights buyer, it's also we're marketing or comms, it's also government affairs, public affairs, the strategy function, the finance function.

In large part 'cause I think we took a pretty broad view to what is survey research.

You know, a lot of folks think about it in the context of, like, political polling, or they might think about it in the context of, like, corporate market research.

The majority of economic data that's used is actually survey based, and that was also an area where I think we were keenly interested in things like consumer confidence, consumer spending, labor force participation.

But then our fastest growing client base right now actually is in professional services and financial services, so we work with most of the large global management consulting firms, communications firms, advertising firms, and then the majority of the world's central banks rely on the data.



We do, instead of 600 interviews, 600 interviews once a month with a three-week reporting lag, we do over 6,000 a day on those questions in the United States.

So it's great because every day when we wake up, we know we're gonna do at least 30,000 interviews.

But I think that dynamic, it makes it really interesting and exciting to wake up every day, 'cause you just don't know what kind of problem you're gonna work on.

And when you first started and evangelized this need, obviously the need was there, and you got clients to buy into it.

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3 of 7
Synthetic Data’s Foundational Problem
Synthetic data may miss rapidly changing opinions
Panel Blend Is a Fallacy
One industry assumption may not protect data quality
Democratizing Proprietary Data
Proprietary data could become dramatically easier to use
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