How do I A/B test my email campaigns for better performance?

Email Personalization That Drives Results

Name-based personalization ("Hi Sarah!") lifts open rates by about 2-5%. Behavior-based personalization - recommending the right product at the right time based on what someone actually bought - can lift conversion rates by 15-35%. The gap between surface-level and deep personalization is massive.

Personalization Levels by Impact

Product Recommendation Logic

• Category progression: Cleanser buyer - recommend toner, then moisturizer (routine-building)
• Replenishment signal: If product has 30-day usage cycle, send recommendation at day 22
• Collaborative filtering: "Customers who bought X also bought Y" - most email platforms support this natively
• Browse-to-recommendation: Visited a product page 3+ times but didn't buy? Email with that product prominently featured

On-Site Personalization Alignment

Personalized email recommendations should continue on-site when the customer clicks through. Growth Suite's Advanced Behavioral Targeting and Purchase Intent Prediction extend personalization beyond the inbox - customers who click through from a product-specific email can be shown a targeted offer for that exact product category on-site, creating a continuous and coherent personalized experience from first email open to checkout.