cro-methodology

Run exit-intent surveys asking what stopped visitors, analyze live chat logs and support tickets for recurring hesitations, and watch session recordings for rage clicks and drop-offs. Quantitative analytics shows where problems are; qualitative research shows why.

An O/CO table maps each visitor objection to a specific evidence-backed counter-objection placed where the concern arises. It covers the Big 5 objections: trust, price, fit, timing, and effort, using testimonials, guarantees, and case studies as proof.

Run at least one full business cycle, typically one to two weeks covering weekdays and weekends, with a pre-calculated sample size. Never peek and stop early, since that inflates false positives even at 95% confidence.

Use multivariate testing only with 100k+ monthly visitors on an already proven winning page. A/B testing suits bold conceptual changes and lower traffic, while multivariate isolates individual element contributions at high volume.

Small changes produce effects too tiny to detect without massive sample sizes, so they rarely reach significance. Bold changes like new value propositions or redesigns can plausibly double conversion and are detectable with far less traffic.