A/B testing done right is one of the highest-ROI activities in marketing — each winning test permanently improves your conversion rate, compounding over time. We design, run, and analyze A/B tests acr...
Full-service a/b testing — no outsourcing, no shortcuts.
A 12-month testing roadmap built from data: analytics-informed hypotheses ranked by expected impact and ease of implementation — so every test has a clear strategic rationale.
Behavioral data analysis using Hotjar or Microsoft Clarity: where users click, scroll, and drop off — surfacing the friction points that inform high-impact test hypotheses.
Test variant design for every experiment: new headlines, CTAs, layouts, form lengths, social proof placements, pricing presentations — built on conversion copywriting and UX best practices.
Technical test setup in Google Optimize, VWO, or Optimizely — including QA across browsers and devices, traffic allocation, and goal configuration before every test launches.
Rigorous statistical analysis for every test: sample size calculation, significance thresholds, and results interpretation — ensuring you only call winners when the data is conclusive.
Every test result — win, loss, or inconclusive — documented with hypothesis, results, statistical confidence, and learnings. Your testing library compounds in value over time.
Continuous testing: each winner becomes the new control for the next test iteration. Each learning informs the next hypothesis. Conversion rate improvement compounds month over month.
A proven 4-step process from discovery to delivery.
Analytics audit, heatmap analysis, and user research to identify high-impact testing opportunities. Testing roadmap built and prioritized by projected impact.
Test variants designed and reviewed. Technical setup and QA. Test launched with proper traffic allocation and monitoring from day one.
Test monitored daily for data quality issues. Analysis run at statistical significance — never called early based on early data trends.
Results documented, learnings extracted, and next test hypothesis developed. Winning variants implemented permanently. Testing cadence maintained at 2–4 tests per month.
Minimum 2 weeks (to capture weekly traffic variation), or until statistical significance is reached at 95% confidence — whichever is longer. We never call tests early, even when results look promising.
You need: enough traffic (minimum 1,000 monthly visitors per variant per page), Google Analytics or equivalent tracking, and the ability to implement code changes or use a testing tool. We assess your readiness in the audit phase.
Most tests are inconclusive or produce small lifts — that's normal and expected. Each result teaches us something about your audience. Our roadmap is designed so even losing tests produce insights that improve future test hypotheses.
Yes — we test across landing pages, email subject lines, ad copy, and ad creative. Each channel has different testing methodology (email uses send-time splits; ads use platform-native A/B tools), all managed under one testing program.
We handle implementation using your testing platform (Google Optimize, VWO, or Optimizely). For tests that require significant development work (new page layouts, major functionality changes), we coordinate with your dev team.
Book a free strategy call. We'll review your current situation and show you exactly how we can help.
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