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.