Conversion Rate Optimization (CRO)
Hypothesis-driven A/B testing on the pages that move pipeline — not the ones that move ego.
Conversion Rate Optimization (CRO) is the systematic practice of using hypothesis-driven experimentation, user research, and statistical rigor to compound revenue from existing traffic — without increasing acquisition spend.
Why this work matters
Most CRO programs run vanity tests — button colors, hero copy variations — that take 8 weeks to declare a 0.3% lift inside the noise. The actual highest-ROI tests live deeper in the funnel and require real user research before you write the hypothesis.
The work, in detail.
- Heuristic + analytics-driven CRO audits
- User research (session replays, surveys, interviews)
- A/B + multivariate testing (Optimizely, VWO, Convert, GrowthBook)
- Funnel + drop-off analysis (GA4, Mixpanel, Amplitude)
- Landing page redesigns (Figma → ship)
- Statistical rigor — Bayesian + frequentist
- Compliance-aware experiment frameworks (HIPAA, FINRA, GDPR)
- →CRO audit + funnel friction map
- →Hypothesis-prioritized test roadmap (12 months)
- →Test framework setup (Optimizely / GrowthBook / VWO)
- →Monthly experiment shipping cadence
- →Statistical reporting + winner playbooks
Senior CRO built around real user research, statistically valid test designs, and hypothesis prioritization. We test what's likely to move revenue, not what's clever, and we ship winners back into the page within the same sprint.
The approach.
Discovery + funnel mapping
Analytics audit + session replays + 5–10 user interviews. We surface the 3 highest-leverage friction points and drop the rest.
Hypothesis-driven roadmap
Each test has a hypothesis, an MDE, a sample-size calculation, and a kill criteria. No vibes-driven experiments.
Ship + iterate
Winners ship into the page within a sprint. Losers get reviewed in retrospective — what did we learn, what's next.
Conversion Rate Optimization (CRO) — common questions
How is your CRO different from button-color tests?
We skip vanity tests that take 8 weeks to declare a 0.3% lift inside the noise. The highest-ROI tests live deeper in the funnel, so we do real user research before writing a hypothesis and prioritize what is likely to move revenue, not what's clever.
What does a test actually require before it runs?
Every test carries a hypothesis, a minimum detectable effect, a sample-size calculation, and a kill criteria. We run no vibes-driven experiments, and we apply both Bayesian and frequentist rigor.
What does the engagement include?
A CRO audit and funnel friction map, a 12-month hypothesis-prioritized test roadmap, test-framework setup in Optimizely, GrowthBook, or VWO, a monthly experiment shipping cadence, and statistical reporting with winner playbooks.
How do you find what to test?
Discovery combines an analytics audit, session replays, and 5 to 10 user interviews to surface the three highest-leverage friction points, and we drop the rest. Tools include GA4, Mixpanel, and Amplitude for funnel and drop-off analysis.
Can you work in regulated environments?
Yes. We use compliance-aware experiment frameworks for HIPAA, FINRA, and GDPR contexts, so testing doesn't create regulatory exposure.
What kind of results should we expect?
We won't promise a conversion lift — that depends on your traffic and funnel. What we commit to is real experiment velocity: a steady cadence of properly-powered tests, not button-color theatre, with winners shipped into the page within a sprint and losers reviewed for what we learned. You see every test and its result on a live report.
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The cost of waiting
is your competitor.
Every 90 days you delay is 90 days of authority compounding for someone else. Get the audit. See the math. Then decide.