Christopher Day
speaker
150 appearances
1 recordings
1 series
first heard Oct 2017
last heard Oct 2017
Christopher Day’s voice in public audio — every appearance, attributed to the second.
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So if we think of the building blocks of this platform, a high level way to think about it is.
We take the customer's data, overlay their competitive intelligence ecosystem, and look at all this stuff cross-channel.
So those are kind of the main three legs of the stool.
And from there now, I can solve many problems.
So, for example, identity stitching we thought was solved in the marketplace, but we're finding out quickly it's not.
Attribution, I guess we always knew that attribution wasn't solved, even though some people do claim they do solve attribution from the top-down approach, which is exactly the wrong way to approach it.
But there's these big problems we can now solve.
But what we've also discovered is that the analytics platforms that customers are traditionally used to using that provide their data in an average or a roll-up scenario where they really can't see their granular data, we believe that we will become the default prescriptive analytics platform that marketers go to day in and day out to judge their business.
Market is the only department left in the C-suite.
that doesn't manage their business on a day-to-day or week-to-week basis.
There's still a set-it-and-forget-it attitude out there, and those companies are going bankrupt.
So we have 17 people today.
So I mentioned my partner, Sean Swigman earlier, who is one of his big claim to fame was being the CMO at overstock.com in their best growth years.
We have a chief scientist, Tyler Foxworthy, whose background is in neurosciences, neural networks.
We believe that there's a lot of similarities and parallels between the human brain and the internet.
And we have another project that we're working on that we think will be transformational that will announce hopefully here in the next 90 days or 120 days.
Indianapolis, Indiana.
Yep, everybody except for one salesperson is based in Indianapolis.
So we have seven people on the data science and engineering team.
We have three people on customer success.
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