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inconclusive

Checkout: Autodiscounting

Hypothesis

If we implement 'Autodiscounting' on checkout pages (In this experiment, a preset coupon code with -15% amount and an easy to "apply" button was shown to new users who have never made a purchase), then key conversion metrics will improve.

Test Results

6,121
Sample size

Key Learning

Context: Coupon and promo code fields on checkouts can distract users — they leave to hunt for codes, reducing completion rates.

What was tested: REAL-WORLD TEST: 'Autodiscounting' was tested on a live checkout page. The test involved 6,121 real visitors. Full statistical results require paid access. Test methodology: In this experiment, a preset coupon code with -15% amount and an easy to "apply" button was shown to new users who have never made a purchase. In the ...

Result: No statistically significant difference was detected. This null result is still valuable — it narrows the search space and helps calibrate your minimum detectable effect for future tests.

How to Apply This to Your Site

This experiment tested checkout: autodiscounting but produced no statistically significant change. The test was run on a checkout page in the cross-industry industry. Inconclusive results suggest this particular change may not be a priority — focus testing effort on higher-impact areas.

Before you test: Consider that form tests typically require adequate traffic to reach statistical significance. Run your test for at least 2 full business cycles to account for weekly traffic patterns.

What Was Tested

In this experiment, a preset coupon code with -15% amount and an easy to "apply" button was shown to new users who have never made a purchase. In the variation, the an empty coupon field was shown. Impact and transactions and revenue was measured.

Methodology

Confidence Level
70%

Build On These Learnings

Save your own experiments, spot winning patterns across your test history, and stop repeating what's already been tried.

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