A/B & multivariate testing
Structured experiments so changes are proven to lift results, not guessed at.
Opinions about what converts are cheap and often wrong. A/B testing settles them with evidence: ship the version that actually wins, keep the ones that work, kill the ones that don't.
We run tests properly - real hypotheses, adequate sample sizes, clean analysis - so the wins are real.
How we deliver this
- Prioritize hypotheses by expected impact
- Design clean, valid experiments
- Run to significance, not to a hunch
- Roll out winners, learn from losers
Key deliverables
- A testing roadmap
- Running experiments
- Result analysis and rollouts
Expected outcomes
- Proven conversion lifts
- Decisions backed by data
- Compounding gains
Ready to implement A/B & multivariate testing?
Talk with our team and get a tailored roadmap for this feature in your growth stack.
Ideal for
- Sites with enough traffic to test
- Teams that argue about design
- Anyone serious about CRO
Frequently asked questions
How much traffic do we need to test?
It depends on your conversion rate, but there's a minimum below which tests can't reach significance - we'll tell you honestly if you're there yet.
Related features
View all in Conversion Rate OptimizationConversion audit
A structured review of your key pages and funnels to find the biggest leaks first.
Learn moreUser research & heatmaps
Session recordings, heatmaps, and surveys to understand why visitors drop off.
Learn moreLanding page optimization
Message, layout, and speed improvements that turn more visitors into action.
Learn more