Testing across email types reveals key insights into engagement, helping you optimize strategies—discover how tailoring approaches can unlock better results.
Testing Across Email Types: Newsletters, Promotions, and Alerts
Browsing Category
Email Optimization Testing
27 posts
Documenting and Learning From A/B Tests
Unlock the secrets to effective A/B test documentation and learn how proper tracking can reveal insights you won’t want to miss.
Progressive Testing Strategies for Incremental Improvements
An approach to progressive testing strategies for incremental improvements that reveals how continuous refinement can dramatically enhance your development process.
Avoiding External Factors That Skew A/B Test Results
Gaining accurate A/B test results requires controlling external factors—discover how to keep your data reliable and make informed decisions.
Continuous Optimization: Building a Culture of Testing
Discover how developing a culture of testing through continuous optimization can transform your decision-making—are you ready to unlock smarter growth?
Segmenting Test Results by Audience Demographics
Generating insights from segmenting test results by audience demographics helps optimize campaigns, but understanding which factors truly influence success requires deeper analysis.
Testing CTAs: Buttons, Text Links, and Placement
What makes a CTA truly effective? Discover how testing buttons, links, and placement can unlock higher conversions and boost engagement.
Interpreting Test Results: Statistical Vs Practical Significance
Discover how to differentiate between statistical and practical significance to make informed decisions based on test results.
Multivariate Testing Vs A/B Testing: When to Use Each Approach
Multivariate testing vs A/B testing: discover which approach suits your goals and resources—continue reading to make the right choice.
Split Testing Send Times: Finding Optimal Delivery Windows
Just testing different send times can unlock the perfect delivery window, but discovering what works best requires careful analysis and ongoing experimentation.
