Marketing AI Agent
PLAYBOOK

A/B Testing Strategy for Conversion Optimization

Toffu
ab testingconversion optimizationexperimentationdata analysisstatistical significance
PLAYBOOK CONTENT
  1. Define clear conversion goals and KPIs using Google Analytics goal tracking and conversion data
  2. Use Google Analytics to identify high-traffic pages with low conversion rates as test candidates
  3. Create a Google Sheets document to prioritize test ideas using traffic, potential impact, and ease scores
  4. Document hypothesis statements in Google Docs with specific predictions about expected outcomes
  5. Design test variations focusing on single elements like headlines, buttons, or page layouts
  6. Use Google Analytics audience segments to track different user groups and their behavior patterns
  7. Set up Google Analytics events to track micro-conversions and user interaction patterns
  8. Create a testing calendar in Google Sheets to avoid conflicts and ensure systematic testing
  9. Monitor test performance using Google Analytics real-time data and conversion tracking
  10. Document all test results and learnings in Google Docs for team reference and future optimization
  11. Use Google Search Console data to inform test variations based on user search intent