What is Split Testing?
Split Testing, or A/B Testing, is the process of comparing two or more versions of an ad, landing page, or campaign element to determine which performs better.
Table of Contents
Full Definition
It involves randomly showing different variants to segments of your audience and analyzing metrics like click-through rates, conversions, or engagement.
Split testing enables data-driven decisions to optimize marketing performance.
Continuous testing and iteration help refine messaging, creative, and user experience for maximum impact.
Examples
Compares variants
Tests hypotheses
Improves conversion rates
Benefits
Data-driven optimization
Reduces guesswork
Enhances campaign effectiveness
Common Mistakes
Requires sufficient traffic
Can be time-consuming
Needs careful experiment design
Conclusion
Split Testing empowers marketers to optimize campaigns based on real user behavior.