Transform more visitors into customers through continuous testing.
Transform more visitors into customers through continuous A/B testing and user journey optimization — compounding conversion improvements across your entire funnel.
Deliverables
What you receive.
Tangible, production-ready outputs — not slide decks that gather dust.
Conversion Barrier Audit
Quantitative and qualitative analysis identifying every friction point in your funnel.
Experiment Roadmap
Prioritized backlog scored by impact, confidence, and effort — with hypotheses and success criteria.
Test Designs & Variants
High-fidelity wireframes and copy for each experiment variant with rationale documented.
Statistical Analysis Reports
Post-test reports with confidence intervals, segment breakdowns, and revenue impact projections.
Personalization Strategy
Audience segments, dynamic content rules, and trigger-based personalization playbook.
Learning Archive
Documented insights from every experiment — wins, losses, and unexpected findings cataloged for future use.
Deliverables
Examples of what we produce.
Artifact examples showing the format and quality standard of this service's deliverables.
Process
How it works.
Four phases. Each produces a tangible artifact you can review and approve.
01
Analyze
Quantitative and qualitative analysis of conversion barriers.
Artifact: Funnel analysis & barrier map
02
Prioritize
ICE/PIE scoring to focus on highest-impact experiments.
Artifact: ICE-scored experiment backlog
03
Test
Design, develop, and run statistically rigorous experiments.
Artifact: Test variant designs
04
Scale
Implement winners, document learnings, iterate.
Artifact: Results report & learnings
Measurement
What we measure.
The KPIs this service is accountable for. Baselines and targets are set with you at the start of the engagement and reported against your own data.
Conversion rate lift
Revenue per visitor
Experiment velocity
Statistical rigor
Quality
Governance & oversight.
Scientific rigor in every experiment
Experiment briefs require documented hypotheses and pre-defined success criteria.
Sample size calculations ensure statistical validity before launch.
Results reviewed with stakeholders — including unexpected findings and segment analysis.
All learnings archived and indexed for cross-team knowledge sharing.
Quality pipeline
Hypothesis Documentation
Every experiment requires a written hypothesis with pre-defined success criteria
Sample Size Validation
Statistical power calculations ensure valid results before launch
Results Analysis & Review
Confidence intervals, segment breakdowns, and revenue impact shared with stakeholders
Learning Archive & Indexing
All findings cataloged — wins, losses, and surprises — for cross-team knowledge
Engagement
How we work together.
CRO Sprint
Full CRO program setup: audit, tool configuration, experiment backlog, and first test cycle. Typical engagement: 4–6 weeks.
Experimentation Ops
Continuous testing program — design, develop, run, analyze, and iterate. Compound conversion gains month over month.
Related services
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Industries we serve
Sector playbooks where this service applies
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FAQ
Conversion Rate Optimization (CRO): common questions.
What teams ask before engaging RPM on this system.
Stop guessing. Start compounding conversion wins.
We'll audit your conversion barriers, prioritize the highest-impact experiments, and launch a rigorous testing program that compounds growth.