The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Chris Golec no published score: no usable exchanges on raw tape, and a fair score needs 8+ record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered produced feed D 5 · C 5 · P 5 · Cm 4 4.85

Q Good. So if you had to sum up kind of Demandbase in, in two sentences, tell us what it does and, and your business model. How do you make money?

A Sure. So, uh, Demandbase is a marketing technology company and we're dedicated to the business to business marketer, helping them, uh, online, bring the right companies they want to sell to, to their website through an advertising platform. We help them better personalize the experience on their website with our technology. And then turn that activity into sales, uh, for the sales team. So it's dedicated again, uh, to B to B where most marketing technology companies have been focused more on consumer type, uh, uh, uh, marketing, uh, processes. And we make money by, uh, selling subscriptions to our customers who are predominantly, you know, mid market, large enterprises, uh, Ranging, uh, across a variety of verticals from high tech companies, telecom, manufacturers, healthcare, large banks.

AI assessment note: “we make money by, uh, selling subscriptions to our customers”

Answered produced feed D 5 · C 5 · P 4 · Cm 4 4.60

Q So that was obviously pretty recently. That's on top of the ninety million you already closed? Okay. Wow. So about one hundred fifty six million raised. Walk me through. I mean, what was that process like when you, when you sent out, was it inbound or were you seeking capital? Cause you identified a new growth strategy that required additional capital.

A Uh, actually a great question because the answer is both. Um, kind of as we got into this year, you know, ABM is category. The interest level has reached the investment community. And so as investors do their research, they discover, you know, demand base is, you know, the largest and pioneered the category itself. And that's, we had a lot of inbound interest And so, um, at the same time, um, we started developing some new innovations using AI and massive data that we're sitting on, and so it really unfolded into a whole new level of innovation that we'll be rolling out, and some of which we're announcing today. Um, so there was a couple drivers for the investment. One, just the timing and level of interest, and two, um, there's a whole next generation of ABM technology that we're, we're rolling out, uh, through the rest of this year and into next year.

AI assessment note: “actually a great question because the answer is both.”

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