A/B Testing
A/B testing (split testing) is the practice of simultaneously running two versions of a web page element — different headline, button color, image, layout — to determine which drives better performance metrics (conversion rate, AOV, CTR). Traffic is split between variants and results measured statistically.
Why It Matters for Shopify Stores
A/B testing removes guesswork from conversion optimization. Without testing, merchants guess what product page changes will improve conversions. With testing, they measure actual customer behavior. For Shopify stores, A/B tests are most valuable on high-traffic pages (homepage, top products, collection pages) where enough traffic exists for statistical significance. Testing requires patience — most reliable results require 1,000+ visitors per variant.
How to Check Your Store
Review your store analytics to identify pages with high traffic and below-average conversion rates. These are your A/B test candidates.
Use the free revenue loss calculator toolHow to Fix It
Use Google Optimize (deprecated), Intelligems, or Neat A/B Testing for Shopify. Start with high-impact changes: product page layout, add-to-cart button text, hero image, pricing display. Run tests for at least 2 weeks for reliability.
Related Terms
Conversion Rate
Trust & CROConversion rate is the percentage of store visitors who complete a purchase.
Bounce Rate
Trust & CROBounce rate is the percentage of visitors who land on a page and leave without taking any action — no clicks, no scrolling, no purchase.
Above the Fold
Trust & CROAbove the fold refers to the portion of a webpage that's visible without scrolling — the first screen a visitor sees.
Heatmaps & Session Recordings
Trust & CROHeatmaps are visual representations of user behavior on a web page — showing where users click, move their cursor, and how far they scroll.
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