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 →

Mike Lapchick 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.

clear all ✕
1exchanges match
0on raw tape
0redirected or not addressed
Answered produced feed D 4 · C 5 · P 4 · Cm 4 4.30

Q Interesting. Interesting. Um, okay. What, I mean, how are, that's a significant amount of both free users and obviously converting more than a hundred to paid. How are you getting those free users and how are you converting them to paid?

A So we're, we're in network play. Um, so if you've got Adidas that uploaded a bunch of content, there are two ways that they distribute that content out. One is, one is a Push model where they push through what we call switches, which are essentially APIs in the system that parse the data out and go all the way to the retailer. Um, and the retailer is involved in that process where they put their specification in shot form and all the conversions are done. Okay. And this is what we're replicating. Here's what happens naturally outside of the platform anyway. Um, and then the other model for the, for the retailers that are not quite as important to Adidas Is they open up a, um, a, uh, self-service model where the retailers can log in, uh, upload a, uh, list of SKUs, and then download all the information that, that they need for them. So, so Adidas would invite all of those retailers onto those, onto the platform. When those retailers come onto the platform, we, we know through our in-platform marketing which other brands they, they might sell, and we say, hey, I mean, it's just like, just like LinkedIn, here are other brands that you may know, would you like to connect with them now? Build a dependency for that retailer on, on Chopfarm, one user interface, you know, several brands, uh, that, that they collect content from becomes easier for them. Uh, you know, with the hope of pu…

AI assessment note: “Adidas would invite all of those retailers onto those, onto the platform.”

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