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 →

Fehzan Ali 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 5 · C 4 · P 4 · Cm 4 4.30

Q We're on the same page. So you've been in this for 10 years, built the first company, thirteen million. What happened to that business?

A Yeah, absolutely. It's, it's pretty much the same business. What we did over the past few years is we recognized the shift from desktop to mobile. Of course, there's been a decline in ad spend on desktop. So we, uh, we pivoted over to, you know, working with app developers and doing something fairly similar. Although we even, I feel like we hit an even better model because it's a, you know, the, the model we have now, which is our offer wall, uh, users can engage with the offer wall if they'd like to within the app. It's a totally opt-in experience. And if they don't want to, you know, it's, it's, it's that they're choosing. And if they do want to, they do, or they can go ahead and just pay for in-app purchases. And so really like this model in particular, because it's not forced upon them. They have multiple options of getting the virtual currency. And, uh, we find that it boosts user retention rates even further than our previous model. And so we were, we're just building it back up to, to being as big and bigger than our last business. The, the nice thing about this model.

AI assessment note: “It's, it's pretty much the same business. What we did... is we recognized the shift”

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