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 →

Arif Mamun 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 3 4.15

Q Okay. And, uh, so lifetime value then what is it? I mean, I'm sure you've projected this. You've raised capital. I'm sure you've had to put this in a deck. Uh, what is your lifetime value?

A So LTV currently, uh, you know, they, they, they, they won't let us, uh, You know, and you, you know, calculate a lifetime above three years. But, you know, we, we just, you know, 50, 50 dollars times three years is what we're looking at. On a larger scale, this is a, this is a data play. Um, you know, the, the SAS revenue, the, the pivot that we're trying to do is, is, is from, um, SAS to a, uh, a data play, a much broader data play. Um, the data that we've got sitting at retail, um, you know, a lot of different players have a, have keen interest in that data. Um, so we're, we're trying to monetize that data and eventually the lifetime value of the customer is a amalgamation of, of not just, you know, it's an amalgamation of the SAS fees as well as the, uh, um, the ways in which we're able to monetize this data.

AI assessment note: “50, 50 dollars times three years is what we're looking at.”

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