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Does rewording a sales page actually sell more books

By Ryan Richardson · Published 8 October 2026

Not reliably. On one rebuild, the version that read better got more people past the hero (48% against 31.6%) and still sold fewer units (one sale against three, on 75 and 79 sessions). The page that reads well and the page that sells are not the same test, and an underpowered split cannot tell them apart.

What this step is

Generating page variants and testing them is step 36 of the matrix (Part VI, Build the machine). The CSV marks it standard practice at moderate difficulty, automated tooling, which is unusual for this part of the book: most of the surrounding steps are marked often skipped.

The mistake isn't running a test. It's reading an underpowered one as a verdict. Sample size, not creativity, decides whether a page test means anything.

Why the easy read lost money

On a real rebuild, the version that read better pushed 48% of visitors past the hero, against 31.6% on the control. By reading alone, the rebuild won. On settled sales it lost: one purchase against three, on 75 and 79 sessions, a sample too thin to carry either number.

A clearer page is not the same claim as a page that sells. The two can point opposite directions in the same test, and a reader-quality metric (scroll depth, time on page) will never catch that a sale was lost further down the funnel.

What the sample size actually needs to be

At a 2% purchase rate, detecting a 20% relative lift needs roughly 19,600 visitors per arm, about 39,200 total. Detecting a 50% relative lift needs about 3,136 per arm, 6,272 total. Halving the effect size you want to see quadruples the sample required to see it.

That arithmetic is also why the smallest-sounding test (one button, one headline) is quietly the largest ask: small effects need the biggest samples. Most book-funnel tests never clear it, which is why a before-and-after read of settled cash, not a significance test, decided the real result above.

The stopping rule, written down first

Peeking at results daily and stopping the moment a threshold is crossed lifts the real false-positive rate from the stated 5% to about 26%. Write the stopping rule, and the sample size it implies, before the first visitor arrives, not after the numbers start looking good.

Where it breaks

Calling an underpowered split a result. Reading engagement (scroll, time) as a proxy for sales when the two have already been shown to disagree. Running the test during a week something else also changed, so neither question gets a clean answer.

The numbers
ClaimValueSource
Visitors past the hero, rebuild vs control48% vs 31.6%The Sixty Steps manuscript
Sales, rebuild vs control1 sale vs 3 sales, on 75 and 79 sessionsThe Sixty Steps manuscript
Visitors per arm to detect a 20% relative lift at 2% baseline~19,600 per arm, ~39,200 totalMeasured in Real Money, Field Manual
Visitors per arm to detect a 50% relative lift at 2% baseline~3,136 per arm, ~6,272 totalMeasured in Real Money, Field Manual
False positive rate from daily peeking5% stated rises to about 26%Measured in Real Money, Field Manual
Matrix status for this stepModerate difficulty, standard practice, automated toolingThe Sixty Steps matrix
Go deeper

This page covers one step. The full method is in the book.

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