# A/B Test Idea: Installment Badge on Product Cards

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/ab-test-idea-installment-badge-on-product-cards

## Hypothesis

If the installment option shows on the card, shoppers who find the total price high may reconsider a product based on the split payments instead of ruling it out. By changing both how many shoppers buy and what they put in the cart, the badge could raise revenue per visitor (RPV).

## When to run this test

Run this test when higher-priced products on the listing page seem to stall at the card, such as low click-through on expensive items, shoppers who buy only after finding the installment details on the product page, or support tickets asking whether installments are available. If the installment detail helps shoppers decide, they see the installment option earlier, open higher-priced products more often and complete more of those purchases. Show the badge only on products eligible for the stated offer, and if eligibility data is not reliable at card level, fix it first.

## Primary metric

**Revenue per visitor (RPV)**: Compare revenue per assigned visitor; use conversion to help explain the result.

## Other metrics

- **Purchase conversion rate (CR)**: Check whether the installment badge changes purchase rate.
- **Click-through rate (CTR)**: Check whether products with the badge receive more clicks.
- **Add-to-cart rate**: Check whether shoppers take the first purchase step.
- **Cancellation and return rate**: Track whether cancellations or returns increase because installment expectations were not met.

## What to check before and during the test

- **Badge**: Add one predefined badge describing a current, eligible installment offer.
- **Keep constant**: Keep price, installment terms, eligibility, sorting and other card details unchanged.
- **Meaning**: Make clear that the installments split the same total price as the upfront price.
- **Category**: Review differences among eligible product categories.
- **Separate tests**: Test badge placement, size and wording separately.

## What to watch when reading the result

- Revenue per visitor (RPV) picks the winner; purchase conversion rate (CR), click-through rate (CTR) and add-to-cart rate explain where the change came from. If cancellations or returns rise, a revenue lift does not justify shipping; check those rates again after the return window for test orders has closed.
- Treat the result as specific to the badge wording, placement and eligible categories you tested, and read differences between categories separately. Do not assume the effect stays the same with a different position, size or wording; test those separately.
- Revenue per visitor is an average that can swing with a few large orders, and a significance test for conversion rates does not cover it. When the revenue gap is unclear, check the conversion rate gap with the [A/B test significance calculator](https://alidemirbas.com.tr/en/calculators/ab-test); if that gap is not significant, read the revenue gap with the same caution and do not declare a winner.
- Confirm on mobile and desktop that the badge does not overshadow the product image, conflict with discount labels or disrupt the hierarchy of card copy and CTA. If it crowds the card or covers the image on mobile, the result reflects a broken layout rather than the offer.

## Frequently Asked Questions

### Why use revenue per visitor rather than conversion?

The badge can change both purchase likelihood and basket composition. Use RPV as the primary outcome. Conversion, card clicks and add-to-cart are diagnostic; returns and cancellations are guardrails.

### Can installment badges create false expectations?

Yes. In this scenario the badge describes a genuinely available interest-free offer. State eligibility accurately and monitor cancellations or returns linked to misunderstood payment terms.

### How should the badge fit the product card?

Keep product imagery, price and the main action readable. Avoid clashes with discount labels or cramped mobile cards. Preserve the chosen placement during the experiment.