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 →

Mark Smookler 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
Partly produced feed D 3 · C 4 · P 3 · Cm 3 3.30

Q So how do you know that though? That's my question. Like how do you have a partnership with Google where you know what they're searching location wise on their phone and you tie that back to the demo data?

A Well, that is a long story in and of itself, and that's some of our secret sauce, but most anybody right now can go on to Google Trends, and they can type in coffee in a specific area over a specific time, and Google will tell you the average amount of searches that happen for that keyword. Now, it's not just, you know, coffee, but it's, you know, roasted and, you know, uh, you know, bulletproof coffee, all of those things aggregate up, so we aggregate all those up, And then we, and then Google will tell you, of course, from a citywide level, same with Facebook. They'll tell you from a citywide level, what the reach estimate is for a category. But of course we take that down from the city level to the street level, right? So we chop that all the way down. And again, because if you think about it, um, sorry, if you think about it from retailers perspective, um, you know, if you were to tell, you know, an online, you know, company, Hey, Austin has a 100,000 searches for golf and golf related term. That's fine for them, right? Because it's just an online advertising campaign. But when you're talking about a location that matters, right? Is that, is that, you know, aggregation, north, south, east, west? Where are those people? Where is that density? And we help them sort of locate that so they make a better decision.

AI assessment note: “that's some of our secret sauce, but most anybody right now can go on”

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