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 Mader 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 5 · P 4 · Cm 4 4.30

Q When you are making decisions, high level decisions, you know, your, your manager meetings about kind of customer acquisition costs relative to lifetime value. Lifetime value is very difficult and it's dangerous to just extrapolate because it can get to some funky numbers. What, what do you assume as kind of a safe lifetime value per customer? And how does that allow you to back into your CAC number?

A We are very, we, we rarely look at that on averages, Nathan. We also look at it based on segment. If we're talking about a construction company who's a large established company that has very low flight risk that produces 50,000 an error a year, we may spend tens of thousands of dollars pursuing as opposed to the online lead where we might spend 60 bucks. So I think the key thing is we really look at the source, the specific source, the campaign, and what we spend per campaign, and we have hundreds of them across the business. And each one has its own economic levels layers. I see too many businesses look at averages and averages can either completely turn you upside down or completely leave you under investing. So we never look at the average. We always look at the discreet item markets.

AI assessment note: “We rarely look at that on averages... We also look at it based on segment.”

page 1
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 2,600 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.