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A/B Testing — Comparing two versions of a page, ad, or email against each other to see which one gets a better result.
What Is A/B Testing?
You show version A to half your visitors and version B to the other half, then compare a specific metric — like conversion rate — to see which version wins. Only one thing should change between the two versions, or you won’t know what actually caused the difference.
How A/B Testing Works
- Pick one variable to test — headline, image, button color, or price.
- Split traffic evenly and randomly between version A and version B.
- Run the test long enough to collect a statistically meaningful sample.
- Keep the version that performs better and retire the other.
A/B Testing vs. Multivariate Testing
| A/B Testing | Multivariate Testing | |
|---|---|---|
| Variables changed | One at a time | Several at once |
| Traffic needed | Lower | Much higher |
| Best for | Most stores | High-traffic stores only |
Why A/B Testing Matters for Dropshippers
Testing a $29.99 price against a $32.00 price on the same product for two weeks, then keeping whichever price produced more total revenue — not just more orders — is a simple example. Because traffic and budgets are often limited, A/B testing helps you make pricing, ad, and page decisions based on real customer behavior instead of guesswork.
FAQ
How long should an A/B test run?
It depends on your traffic, but most stores need at least one to two weeks and a few hundred conversions per version before the result is reliable.
What should I test first?
Start with high-impact elements like your product price, main image, or headline — these tend to move conversion rate the most.
Can I test more than one thing at once?
You can, but that becomes multivariate testing, which needs much more traffic to get a reliable answer than testing one variable at a time.