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.
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Answered produced feed
D 5 · C 5 · P 5 · Cm 4 4.85
Q And, and so what are you selling? A data set or a tool to analyze and collect the data?
A So what we're really about is a platform that allow brands to exchange data. Look, historically, the way data has been made available for advertising is you have companies like Oracle that aggregate it from large, uh, data sets that is completely, um, opaque and To the end user. What we enable is, to your example, Target to specifically say I want UGG, and UGG to say I want Target, and broker that entire transaction. That's something that the industry has never seen before, where you actually have that ability to have full transparency about where your data is coming from, and therefore get data sets that you otherwise wouldn't get because the data owners wouldn't allow that data out.
AI assessment note: “what we're really about is a platform that allow brands to exchange data”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q And what is this data, I mean, how is the data any deeper than like cookie level data?
A Well, I mean, first of all, in many cases, it is cookie data, but it's about what products and brands you've been looking at and what specific features of those products and brands that you've engaged with and studied. So that's what we would call browser shopping behavior. In the case of retailers, it can be also what you purchase, which is transaction behavior as well. So it's all of these kinds of things. And then taken each individual element by itself may not be that predictive, but taken as a whole, in terms of all the things that you're Interacting with and buying and purchasing, it can be very predictive in terms of deciding who's going to be receptive to an offer and who isn't.
AI assessment note: “in many cases, it is cookie data, but it's about what products and brands”
Partly produced feed
D 4 · C 5 · P 4 · Cm 4 4.30
Q All right. Tell us about Owner IQ. What's the company doing? How do you make money?
A So what owner IQ is fundamentally about is part of this, what we call programmatic revolution, and how digital advertising is, uh, bought and sold. And one of the big innovations the last few years, or I should say the last five years, is to decouple where the media, where the ad shows up from the data that's used to decide to put the ad there. And so that's created a very large ecosystem, and we're one part of that That allows advertisers to use data from retailers and product brands to decide to target their, their advertisement on a, on another website. So for example, a retailer can allow the brands to sell through them to use their data and a brand can allow the retailers that sell their product To use their data to, to target and place advertising.
AI assessment note: “allows advertisers to use data from retailers and product brands to decide to target”
Answered produced feed
D 4 · C 4 · P 3 · Cm 3 3.60
Q ask you a question. A company like you, when you go out and do your last round of funding, and you're trying to figure out a valuation, when you have things that are campaign driven, it's harder to predict revenue. So I imagine your multiples aren't going to be as high as a pure play SaaS company. How do you think about valuation, especially as related to your last round?
A Well, as an entrepreneur, valuation, I think, what I think about valuation is never high enough. I mean, that's, that's, that goes without saying. Um, valuation is an art more than a science, and this notion that SaaS revenue is the, uh, it's all predictable, and therefore a command site, that's actually not what I've seen in the markets. I mean, there are certain companies that have those, have attributes, well, they're, they're market favorites, and so they have those kinds of multiples, but, you know, most businesses, uh, Have to sell, have to make and sell every transaction, like a retailer, for example. Um, we're not that, but you're right. We're not like annual contracts and it's predictable year in and year out. So, you know, we're in the vast middle, which by the way is, is most of the economy. And so the valuation in a private valuation is based not just on the SAS model or not SAS model. It's based on all sorts of factors related to growth and related to, you know, what we think the exit could look like, um, and related to, you know, The perceived strategic value of this to acquirers and things of that nature. So it's very much an art, not a science.
AI assessment note: “valuation in a private valuation is based not just on the SAS model”
