Definition Instead of growing traffic, CRO improves the efficiency of existing traffic. Removing flow blockers, message-market fit, social proof, and reducing form friction are typical interventions.
How it works The process starts with a hypothesis (e.g., "Cutting the form from 7 fields to 4 raises conversion"). An A/B test is set up: users split randomly into two groups, one seeing the existing version, the other the new one. A meaningful difference is expected at a specified statistical confidence level (typically 95%). The test runs until minimum sample size. The winning version goes live.
Where you see it in Scope Trends The **CRO Module** delivers heatmap, scroll depth, and form abandon reports for homepage, landing page, and checkout. The **A/B Test Manager** provides test design, statistical power calculation, and a result dashboard.
Frequently asked questions **How do I know a result is significant?** Statistical significance (p-value) should fall below 0.05. Below that, the winner can be declared with confidence.
**How many visitors are enough?** Depends on baseline conversion rate and lift size. Typical tests reach significance at 1,000-5,000 visitors per group.