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