We moved our paywall to the web to speed up pricing and onboarding tests, but I still had to put guardrails around what to test and when. A few things that made it workable:
- One change per cohort. If I test copy and price at once, I learn nothing.
- Server-driven experiments. Variant assignment stored server side so it survives reloads and deep links.
- Price localization rules. I now define price bands per currency and let experiments pick within a band.
- A clean success metric per test: conversion to paid in 24 hours, or to trial start, not a mixed bundle.
- Weekly kill or keep. If a variant is clearly bad after X traffic, I stop it and move on.
I also tag each variant in the analytics payload so I can tie revenue and churn back to the exact paywall and not just the campaign. And yes, I always re-check processor fees and tax because a higher price can look great on gross and worse on net.
If you’re running fast web tests, how do you balance speed with statistical sanity, and what’s your minimum sample before you call a pricing winner?