A/B testing (or split testing) involves showing two variants of something — a headline, a button color, a review request message — to different segments of an audience and measuring which performs better against a defined goal, such as conversion rate, tracked in a tool like Google Analytics (opens in new tab).
A Practical, Low-Effort Way to Run One
A small business doesn’t need formal statistical software to benefit from this idea — alternating between two different review request messages week by week and simply comparing response rates over a month achieves the same core goal. The point isn’t rigor, it’s replacing a guess with an actual comparison.
The same approach works for a headline, a CTA button label, or even which photo leads a Google Business Profile — change one variable at a time so it’s clear what actually caused the difference in results.
Giving each version enough time and volume to produce a meaningful result matters too — comparing five messages sent under each version rarely reveals anything reliable either way.
People also ask
Do small local businesses need A/B testing?
It helps at scale, but for a single-location business, testing two different review request messages over a month and comparing response rates is often enough — formal statistical testing isn’t always necessary.
See also
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