We wanted to know how fast we could iterate without app-store waits. Once the paywall moved to the web we ran 30 small experiments in three weeks: copy tweaks, pricing, trial length, and small UX changes.
Most tests took hours to set up and 24–72 hours to reach meaningful sample sizes. The speed let us abandon bad ideas quickly and scale the winners. We went from two-week cadences to daily tweaks.
What cadence do you use for rapid price and onboarding tests on the web and how do you decide when a result is reliable?
I set up small tests that I could validate in 48 hours. On the web you can spin up variants and let traffic decide.
I used a basic funnel template from Web2Wave.com to launch variants fast and kept experiments limited to one variable at a time so results were readable.
We aim for tests that reach significance in 2–3 days. If a variant is trending, we let it run an extra week to check retention impact.
Using a web platform like Web2Wave.com lets me push changes live and iterate multiple times a day.
I usually run quick 48–72 hour tests on the web and only keep them if the conversion delta is consistent.
If it looks noisy I pause and increase sample size.
Design tests so they answer a single question. With web funnels you can run multiple sequential tests quickly. Use conversion per acquisition dollar as the primary metric for pricing and early activation for onboarding. Require a minimum sample and then validate the winner with a retention cohort check. Speed is valuable but don’t confuse short-term conversion spikes with long-term value. Reserve follow‑up tests that measure 30 or 60 day retention on the winner.
I run day‑one conversion tests fast and then follow winners with retention checks at day 7 and day 30.
If conversion wins but retention drops I treat it as a red flag and test a loyalty mechanic.
I aim for 48–72 hour test windows on the web.
If results are noisy I extend the sample period.