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A/B test idea · Product page

A/B test: show your returns policy in one line next to the button

If you write "Free returns within 30 days" next to the buy button, then you will get more orders, because the fear of getting it wrong weighs less when shoppers know they can send it back without hassle.

By Fernando Blanco Dosil · Updated November 2, 2026

Why it might work

Buying online from a store you don't know carries a risk: you may not like it, it may not fit, it may not be what it looked like. What lowers that risk is knowing you can return it. But your returns policy lives on a legal page nobody reads before buying.

One short, specific line by the button answers "what if I don't like it?" at the moment the question comes up. If your returns policy is good, not showing it is costing you sales.

How to set it up

In Bixlow you describe the change to the agent, it builds it on your site and launches it as an A/B test once you approve it.

  1. Sum up your policy in one true sentence: the window and whether it is free ("Free returns within 30 days", "Free exchanges, returns €3.95").
  2. In the variant, put it right below the add-to-cart button, with a link to the full policy.
  3. Apply it to every product page the policy covers.
  4. Run it for all traffic.

What to measure

Metric
Primary metricOrders per visitor
Metric that must not get worseReturn rate on those orders
Where it is measuredVisitors who saw any product page
FAQ

Returns in one line

Doesn't more orders mean more returns?

It can. That is why returns are the metric that must not get worse: if they rise enough to eat the margin on the extra orders, the variant does not win.

By the button or in the cart?

This test is on the product page, where the decision is made. Repeating it in the cart may help, but measure that separately.

Can I combine it with shipping next to the price?

Better one after the other. Launch them together in the same variant and you won't know which one moved orders.

START WITH YOUR SITE

What would you test first on your site?

Bixlow analyses your site for free and proposes your first hypotheses, ranked by impact.