Landing page A/B testing is the process of comparing two versions of a page to determine which one performs better against a specific goal, such as conversion rate or click-through rate.
Why Landing Page A/B Testing matters
Optimizing a landing page based on real user behavior rather than assumptions increases the likelihood of sustained conversion improvements. In ecommerce, even small percentage gains on high-traffic pages can produce significant revenue increases.
How Landing Page A/B Testing works
Visitors are split into two groups. One group sees the original version (A) and the other sees the variation (B). Changes can range from headlines and CTAs to page layouts and imagery. Performance is measured until statistical significance is reached.
Example in ecommerce
A beauty retailer tests two product page versions: one with customer reviews above the fold and one with them below. The above-the-fold version results in a 7 percent lift in add-to-cart rate.
Common mix-ups
A/B testing is not multivariate testing. Multivariate testing examines multiple changes simultaneously, while A/B testing focuses on one primary change at a time.
Best practices
- Test one major change at a time.
- Ensure you have enough traffic for valid results.
- Run tests for a sufficient period.
- Avoid stopping tests early due to small fluctuations.
- Record and analyze test outcomes for future reference.
Industry benchmarks
- Many successful ecommerce A/B tests produce gains between 2 and 10 percent in the targeted metric.
