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 →

Nick Zekitz 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 5 · P 4 · Cm 4 4.60

Q Okay. And so what does that mean exactly?

A Yeah. By and large, when you think about marketing and what marketing means and why it's hard, a lot of people are leaning into this idea of personalization. And when they say personalization, what they really mean is harder and harder and more demanding versions of segmentation. That, uh, that just doesn't scale, right? Uh, and, and frankly, marketing has hit the breaking point where, uh, account-based marketing, segmentation-based marketing, um, has broken the human barrier, and, and humans can't make it work any better, and yet the demand to personalize engagement remains. So what we do is we use machine learning to deeply understand the behavior of humans, not clicks and moments spent on web pages, but more importantly, the subject matter that people have engaged with, And then what we're able to do is dynamically and automatically without anybody at a customer having to set any new rules, but still using the software that they're used to, simply uses a new set of things like merge tags or content blocks that will serve up content of any kind to each and every individual human across email, web, chat, anything else, um, in real time that has been chosen for them, the result being Better engagement rates, higher conversion rates, et cetera.

AI assessment note: “what we do is we use machine learning to deeply understand the behavior of humans”

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