A/B Testing That Actually Moves Revenue
Most teams run A/B tests wrong — peeking at results early, stopping when they see a "winner," implementing changes based on statistical noise. We do it properly: 800+ tests, zero tolerance for false positives.
How Our A/B Testing Works
Every test follows the same rigorous process — from research-backed hypothesis to statistically verified win.
Research
We audit your analytics, run heatmaps, and study session recordings to form data-backed hypotheses — not gut-feel guesses.
Design
Test variants are designed around psychological principles and CRO frameworks. Sample sizes are calculated before a single line is written.
Run
Tests run for the required sample size and time — never stopped early, never peeked mid-test. We control for day-of-week effects and novelty bias.
Analyse
Full segment analysis by device, traffic source, new vs. returning. We extract learning whether the test wins, loses, or is inconclusive.
Compound
Winners get implemented. Every finding feeds the next hypothesis. After 50+ tests, your test log is a competitive moat no competitor can replicate.
What We Test — and in What Order
We always start where the data shows the biggest leverage — not where it's easiest to change something.
Headlines & Value Proposition
The single highest-leverage element on any page. A headline rewrite that fundamentally improves message clarity consistently outperforms button colour tests.
CTA Copy & Placement
Button text, position, size, and surrounding copy. First-person CTAs ("Start My Trial") outperform second-person ("Start Your Trial") in the majority of tests.
Social Proof Architecture
Where testimonials are placed, which proof formats work for your audience, and how to position proof at the moment of maximum decision anxiety.
Checkout & Form Optimisation
Field count, order, error messaging, guest checkout, and payment options. Checkout is typically where the biggest revenue leaks are — and where tests have the most impact.
Want to Understand A/B Testing Before We Talk?
Read our comprehensive guide on running A/B tests correctly — sample sizes, statistical significance, segmentation, and the exact mistakes that produce false positives.
Read: A/B Testing Best PracticesA/B Testing Questions, Answered
How many A/B tests can you run each month?
How long does a typical A/B test take?
What if our site doesn't have enough traffic to A/B test?
What elements do you test first?
Do you need developer access to run tests?
Ready to Run Tests That Actually Matter?
Book a free strategy call. We'll review your current testing setup and show you exactly what we'd test first and why.
- Free audit — no credit card
- Results within 30 days
- No long-term contracts