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 →

Tyson Quick 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 5 · Cm 4 4.85

Q Okay, good. Okay. So now that we understand the business and kind of a price point and more of the model, you launched this thing in 2012. Get us into your head at that point. Why'd you jump into this space?

A Yeah, definitely. So before Instapage, I had a startup called Jounce and we got to the point where, okay, this, you know, the product that we had built is not a viral product. It was still in the B to B, you know, kind of a B to B Product category, and we had to start paying for digital advertising to get the word out and try to, you know, attract new customers. And we were able to drive really effective top of funnel ad campaigns thanks to, you know, Facebook and Google technologies that have really made targeting people much easier than ever before in history. Um, but what we saw is we were sending all this traffic and then wasting, you know, about 95% of our ad budgets, and we're like, what's the deal here? I mean, these people are already Interested or retargeted. They already clicked on our ads. Why are they converting at such a low rate? And our assumption was that we were spending all this time making the ads relevant, but then dumping them all on the same generic kind of page. And we said, okay, let's run a few experiments here and try to boost the relevancy, you know, from ad to page. And we did so for a couple of campaigns and saw immediate jump from about the five percent to just about 20%. And then we said, well, This is awesome. Can we push this higher? And we implemented some A-B testing technologies and, uh, you know, tested the different versions of the page and…

AI assessment note: “let's run a few experiments here and try to boost the relevancy”

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