A/B testing UGC placement: a framework

Why test placement at all?

UGC near the decision, in the natural scroll path, usually lifts more than UGC tucked away. But "usually" is not "always", and the best placement shifts with template, product and audience. A test tells you what is true for your store, not what was true for someone else's.

What does a clean testing framework look like?

1. 1Pick one variable, e.g. UGC gallery above vs below the product description. Just one.
2. 2Define the metric up front, conversion rate (and ideally AOV), decided before you look.
3. 3Split traffic cleanly, comparable visitors, same time window.
4. 4Run it long enough, to a real sample size, through at least a full weekly cycle; do not call it early.
5. 5Decide, ship the winner, then test the next single variable.

Which metrics actually count?

• Conversion rate, the primary metric; placement’s real job.
• AOV and units per order, placement can shift basket size, not just conversion.
• Not engagement alone, more clicks on a gallery that did not lift conversion is not a win.

Two things sit just outside the test but decide whether the result holds. A faster variant can win on speed alone, so hold page weight flat across arms: the discipline is in how to add social proof without slowing your store. And before you test placement of a video at all, the format and length questions are worth settling, covered in where to place shoppable video.