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 →

Douglas Girvin 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 4 · P 4 · Cm 4 4.00

Q Yeah, that's good. In terms of unit economics, I imagine, you know, there's one or two things you've got to get a brand new customer to do to make sure they stick. What is that for you? And what does your retention look like once people hit that, that, whatever that usage thing is?

A So, so what happens is we typically go in and very sophisticated implementations that are sticky by nature. So we've got, you know, one customer who uses us for everything digital. There's a, there are others who uses us, use us for one or more specific projects. But when you're a global intranet, as an example, in the first And since I gave you, that's a reasonably sticky, um, situation. So the, so our retention rate to our, our churn on a revenue basis has been negative for the past three years. We don't, we see probably, um, three or four percent churn in terms of number of customers leaving. Um, but in terms of revenue, it's negative. So a number of the early customers who were smaller tend to drop off if they get acquired or they leave Salesforce. Otherwise we, uh, we retain the vast majority.

AI assessment note: “our churn on a revenue basis has been negative for the past three years”

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