Discount Presentation A/B Test on Product Pages

Put this test on the list when discounted products get clicks from listings but few purchases on the product page, or when surveys and support tickets show that shoppers do not grasp how large the discount is. In that case, expect one presentation to make the discount easier to judge and raise revenue per visitor. Run it only with a discount that is actually applied; do not present an always-on discount as temporary or show a price that was never charged as the former price.

Revenue per visitor (RPV)

Use revenue per visitor as the primary metric, even if the discount presentation increases conversion.

Also track

• Purchase conversion rate (CR)Read purchase rate alongside revenue per visitor.
• Average order value (AOV)Review changes in order value without treating a lower average as a loss by itself.
• Gross marginTrack margin while the actual discount terms remain fixed.
• Click-through rate (CTR)Check whether products with the discount label receive more clicks.

• PresentationShow the same real discount as either a percentage saved or a monetary amount saved. Keep price, offer terms, placement and design fixed, and calculate both accurately.
• Keep constantDo not change the discount, price, offer terms or other presentation elements.
• RevenueRead any conversion lift alongside revenue per visitor and gross margin.
• InterpretationUse average order value to explain revenue, and margin to assess its impact.
• Separate testsTest placement, color or other discount formats separately.

1. 1Do not ship a presentation that lifts conversion rate while revenue per visitor falls. A lower average order value is not an automatic loss; use it to explain revenue, and watch gross margin as a guardrail.
2. 2Show one discount message on the page; if another message cannot be avoided, keep it identical in both arms. Keep the label the same size in both arms and modest enough not to break the page hierarchy, because an oversized label turns this into something other than a presentation test.
3. 3This product page and this discount level are all the result speaks for. Check that eligibility rules are comparable for both arms on every device group, since a mismatch on one device can skew the result.
4. 4If the revenue difference is small, do not lean on a single estimate. Test the conversion-rate gap with the A/B test significance calculator; it does not test revenue averages, so read the RPV gap with the same caution. If the result is unclear, report it as inconclusive rather than declaring the two presentations equivalent.