Been running multivariate tests on our mobile onboarding and it’s been a headache.
Tried tweaking variables and sample sizes but results keep fluctuating.
Frustration builds when nothing seems to give consistent improvements.
Been there, done that. Multivariate can be a mess if you’re not careful.
Here’s what worked for me:
First, nail your hypothesis. What exactly are you trying to improve? Focus on 2-3 key elements max.
Next, run your tests for at least 3-4 weeks. I’ve seen results flip after week 2 more times than I can count.
Make sure your sample size is big enough. I aim for at least 1000 users per variation. Anything less and the data gets wonky.
If you’re still not seeing clear winners, simplify. Go back to A/B tests on your most important elements. Sometimes a basic headline tweak can outperform a complex multivariate setup.
Last tip - track more than just conversion. Look at engagement metrics too. They often tell a better story about what’s actually working in your onboarding.
Ditch the fancy stuff. Just test one change at a time.
Been there. Multivariate can be tricky. Maybe try simple A/B tests first. Focus on one big change at a time. Easier to track and usually works better.
I feel your pain. Multivariate can be messy.
Try narrowing it down to 2-3 key variables max. Run tests longer, like 2-3 weeks minimum. And make sure your sample size is big enough for each variation.
If it’s still inconsistent, go back to basics with simple A/B tests on critical elements. Sometimes less is more when optimizing onboarding.
Multivariate testing sounds fancy but often overcomplicates things. Focus on single variable A/B tests instead. Pick one element - like headline, image, or CTA - and test two versions. Run it for at least a week or until you hit statistical significance. Then move to the next element. This approach is cleaner, easier to analyze, and usually more effective. I’ve seen it boost conversion rates by 20-30% for several apps. Keep it simple and iterate fast.