Been struggling with getting statistically significant results on our tests because we don’t have massive traffic volumes.
Most platforms seem built for apps with thousands of daily users. We’re sitting at maybe 200-300 DAU and want to test conversion funnels without waiting months for results.
Just test manually at your size. Two weeks each variant.
Hotjar’s testing tools work well for smaller sites. The heatmaps show you why tests actually win or lose.
Test your biggest pain points first. Users dropping off at signup? Fix that before anything else.
I run tests for exactly 14 days, then I’m done. Checking early just leads to bad calls.
VWO and Optimizely both have sequential testing that works well with smaller samples. I used VWO on a productivity app with around 250 DAU and got clear results in 3-4 weeks instead of waiting months.
Test big changes, not tiny ones. Skip button colors - test completely different onboarding flows instead. We switched from 3-step signup to 1-step and saw the impact fast.
Run tests only during peak usage. We paused on weekends when traffic dropped and just tested Tuesday-Thursday. Data came in cleaner and faster.
Firebase A/B Testing beats most platforms for low traffic. It uses Bayesian stats instead of traditional significance testing, so you’ll get useful insights way faster. Stick to testing one major flow at a time - hit your biggest drop-off point first (usually onboarding or paywall). Run a 50/50 split for exactly 2 weeks. Don’t check results daily or you’ll make terrible decisions on incomplete data.
Google Optimize is free and works decent with low traffic. Takes forever but better than nothing.