Pattern #69: Autodiscounting Save Pattern Bookmark

Pattern Author: Matthew Curry - Head of eCommerce at Lovehoney

Based on 1 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
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Almost Certain Winner
Autodiscounting

  1. Show The Discount Anchoring

    This is an interesting one. The idea is that, if the customer has an active discount code for that session (either by landing on a particular page, or entering a code somewhere), instead of just showing the discount in the basket, we show it further up the funnel,and automatically discount on the product page.

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

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Sales

Ex: Transactions, Upsells

(1 tests)

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Revenue

Ex: AOV, LTV

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Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Test #167 Tested on Lovehoney.co.uk by Matthew Curry Matthew Apr 10, 2018

Find Out How It Performed

Product

  • Measured by adds to cart   |   p-val (?)

  • Measured by thank you page visits   |   p-val (?)

Zoom In
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The idea is that, if the customer has an active discount code for that session (either by landing on a particular page, or entering a code somewhere), instead of just showing the discount in the basket, we show it further (earlier) up the funnel and automatically discount on the product page.

The effectiveness of this depends on the discount level, I've tested it at 30% and 50%.

With a 50% Discount:
Add to Cart rate +33%
Sales rate + 24%

With a 30% Discount:
Add to Cart rate +11.6%
Sales rate + 10.2%

Get Access To See The Test Results

For each pattern, we measure three key data points derived from related tests:

REPEATABILITY - this is a measure of how often a given pattern has generated a positive or negative effect. The higher this number, the more likely the pattern will continue to repeat.

SHALLOW MEDIAN - this is a median effect measured with low intent actions such as initiating the first step of a lengthier process

DEEP MEDIAN - this is derived from the highest intent metrics that we have for a given test such as fully completed signups or sales.