consulting · a/b testing
A/B testing consultant.
Expert A/B testing consultant with proven track record. I help SaaS platforms, e-commerce sites, and B2B services run statistically rigorous experiments that drive measurable conversion lifts through disciplined methodology and practical implementation.
results
Proven experimentation results.
methodology
A/B testing methodology & approach.
I've built and executed experimentation programs for B2B SaaS platforms, e-commerce sites, and high-traffic applications. My approach combines statistical rigor with practical implementation, ensuring experiments deliver actionable insights, not just numbers.
Core Methodology
- •Signal-first discovery: Map friction points using session replays, product analytics, and support transcripts before designing experiments
- •Statistical guardrails: Proper sample size calculations, significance testing (95% confidence), confidence intervals, and automated analysis that flags invalid results
- •Implementation sprints: Lightweight ES5-compatible variations that don't derail roadmap work, with feature flags for safe rollouts
- •Shared analytics dashboards: Real-time experiment status, uplift ranges, and confidence intervals visible to marketing, product, and leadership
Tools & Platforms
- Optimizely Edge & Web: Client-side and server-side experimentation
- Custom experimentation frameworks: Full-stack platforms with feature flags, A/B tests, and multivariate tests
- Analytics integrations: Google Analytics 4, Mixpanel, Looker dashboards
- Statistical analysis: Proper significance testing, confidence intervals, sample size calculators
services
A/B testing services.
Experimentation Framework Setup
Build end-to-end A/B testing infrastructure: platform selection, implementation, analytics integration, and team training.
- • Platform evaluation and selection
- • Technical implementation
- • Analytics and tracking setup
- • Team training and documentation
Experiment Design & Analysis
Design statistically rigorous experiments, calculate sample sizes, and analyze results with proper significance testing.
- • Hypothesis formation
- • Sample size calculation
- • Statistical significance analysis
- • Results interpretation and recommendations
Ongoing Optimization
Continuous experimentation cadence: identify opportunities, design tests, analyze results, and implement winners.
- • Experiment roadmap planning
- • Regular test design and review
- • Performance monitoring
- • Compounding wins strategy
Training & Enablement
Train your team on A/B testing best practices, statistical significance, and building an experimentation culture.
- • Statistical significance workshops
- • Experiment design training
- • Results interpretation guidance
- • Best practices documentation
pricing
A/B testing consultant pricing.
Hourly Rates
£150–£250/hr
UK rates
$175–$275/hr
US rates
Project-Based
£5k–£15k
Framework setup & initial tests
£15k–£40k
Comprehensive programs
Retainers
£3k–£8k/month
Ongoing experiment design & analysis
faq
Frequently asked questions.
related
Related resources.
work with us
Ready to start A/B testing?
If you're ready to build an experimentation program that drives measurable conversion lifts, let's discuss your specific needs and how A/B testing can help.
Book a Free Strategy Call