Hypothesis-Driven
A/B Testing
& Experimentation.
Hypothesis-driven experimentation programmes with statistical significance reporting.
- VWO, Optimizely & Convert
- Bayesian & frequentist significance
- Sample size & power calculations
A/B Testing & Experimentation Pricing.
Starter
For occasional testing
- 1 A/B test per month
- Tool setup (VWO / Optimizely)
- Hypothesis brief
- Sample size calculation
- Test result report
Professional
For ongoing experimentation
- Up to 4 A/B tests per month
- Hypothesis library (ICE scored)
- Multivariate test capability
- Bayesian significance reporting
- Test documentation database
- Dedicated experimentation lead
Premium
For high-velocity testing
- Up to 8 tests per month
- Sequential & multivariate testing
- Server-side experimentation
- Personalisation rules
- Stat significance dashboard
- Bi-weekly review meetings
- Dedicated experimentation team
What Is A/B Testing & Experimentation?
A/B testing — also called split testing or controlled experimentation — is the gold standard for replacing opinion with evidence in product, marketing, and growth decisions. Done properly, it answers the question "did this change actually move the metric, or was it noise?" with mathematical confidence. Done badly, it produces false positives that damage business decisions for years.
Our experimentation service runs A/B and multivariate tests using VWO, Optimizely, Convert, AB Tasty, or server-side platforms like LaunchDarkly and Eppo. Every experiment starts with a written hypothesis, a sample size calculation based on baseline rate and minimum detectable effect, and a pre-defined stop rule. Results are reported with confidence intervals, p-values (for frequentist methods) or probability-to-be-best (for Bayesian methods), and a written learning that feeds the next round.
Whether you need to set up your first testing tool, run a single critical experiment, or build a high-velocity experimentation programme that ships 6-10 tests a month, our experimentation leads bring statistical rigour and product judgement to every test.
How Our A/B Testing & Experimentation Service Works
A simple 3-step process to deliver measurable results.
Hypothesis & Setup
Written hypothesis, baseline metric, MDE, sample size, and stop rule defined before the test ever launches in VWO, Optimizely, or your tool of choice.
Build & Launch
Test variant built and QA-checked across browsers, devices, and traffic sources — then launched and monitored for SRM and tracking sanity.
Analyse & Document
Results reported with confidence intervals and significance, written learning logged in the test database, and the next hypothesis queued.
Underpowered Tests Lie
Calling a test at 95% significance with 200 conversions and ignoring sample size produces false positives in roughly half of all "winners". Proper power and sample size discipline fixes that.
Why You Need Professional A/B Testing & Experimentation
Specialist execution that turns a/b testing & experimentation into measurable revenue impact.
Statistical Rigour
Sample size calculations, power analysis, frequentist or Bayesian methods, and pre-defined stop rules — no peeking, no underpowered tests.
Hypothesis Discipline
Every test starts with a written hypothesis using the format: "We believe [change] will [impact metric] for [audience] because [reason]."
Tool Agnostic
VWO, Optimizely, Convert, AB Tasty, and server-side platforms like LaunchDarkly and Eppo — we work with whatever fits your stack.
Knowledge Compounds
Test results documented in a searchable library so winning patterns and dead ends are never re-tested by accident.
More Services
Underpowered Tests Lie
Hypothesis-driven experimentation programmes with statistical significance reporting.
A/B Testing & Experimentation FAQs
Replace Opinion with Evidence
Experimentation programmes with proper sample sizes, statistical significance, and documented learnings — built on VWO, Optimizely, Convert, or server-side platforms.
- Sample size & power analysis
- Bayesian or frequentist significance
- Hypothesis library (ICE scored)
- Documented test learnings
- Server-side & client-side capability
No long-term commitment. Cancel anytime. 100% satisfaction guaranteed.