A/B Testing Services
A/B testing services are only useful when the tests are designed to produce an answer you can trust. We start from research, plan sample sizes before launch and analyse results properly, so decisions rest on evidence rather than noise.
How we approach A/B testing services
Most A/B tests we review have the same flaws: button colour tests with no hypothesis, tests stopped the moment one variant looks ahead, too little traffic to detect a real difference, and flicker or tracking bugs that skew results. Teams then roll out winners that were never real and wonder why conversion does not move.
Everything begins with research: analytics, heatmaps, session recordings, surveys and support tickets, to find where and why users struggle. Each hypothesis states the problem, the change and the expected effect. We calculate the sample size and test duration up front, build variants in tools such as VWO, Optimizely or Convert, and QA them across devices. Results are analysed against the primary metric with guardrail metrics checked, and every test is logged in a shared repository with learnings.
This works well for sites and apps with enough traffic and conversions to support testing. Low-traffic sites get research-led fixes instead.
- Research grounded in real user behaviour
- Tests run long enough to trust the result
- Winning changes designed and shipped by us
Working with Nians
One strategist owns your plan and brings in the specialists it needs. You hear from us every week, and every piece of work starts with an audit.
What our A/B Testing Services include
The usual building blocks. We drop what you don’t need and add what you do.
Analytics & heatmap review
Where users drop off, hesitate or rage-click.
User research
Interviews, surveys and usability sessions.
Hypothesis backlog
Ideas ranked by impact, confidence and effort.
A/B & multivariate tests
Run with proper sample sizes and guardrails.
UX/UI improvements
Winning variants designed and shipped.
Experiment reporting
Revenue impact of every test, win or lose.
How we deliver
You see the plan before any work starts.
Research
Analytics, heatmaps, recordings and user feedback reviewed together.
Hypotheses
Ideas ranked by likely impact and effort.
Design
Test variants designed and built properly, not patched.
Test
A/B tests run to a sample size we agree up front.
Ship & learn
Winners go live, and every result goes into a shared log.
You may also be interested in
Solutions this service is part of
Problems it helps solve
Case studies & resources
Real-world results and practical reading to help you plan your next step.
Client stories
How similar work has played out for other businesses.
Helpful resources
Guides, tools and articles our team recommends on this topic.
Questions we often hear
Straight answers to the things clients ask us most. If yours isn’t here, just ask.
How much traffic do I need for A/B testing?
How long should an A/B test run?
How much traffic do we need for A/B testing?
Let’s plan your next stage of growth.
A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.