---
title: Lacoste increases sales by 1.47%  with optimized size recommendation
description: Lacoste A/B tested a size recommendation widget to increase sales and reduce product returns from dissatisfied customers.
---

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![Lacoste](https://pages.kameleoon.com/hs-fs/hubfs/Lacoste.jpg?width=450&name=Lacoste.jpg "Lacoste")

# Success story

Lacoste

increases sales by 1.47% with an optimized size recommendation guide

[Download](https://pages.kameleoon.com/en/ab-testing-lacoste-size-widget#register-form)

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RETAIL

## Context

Clothing size differs from one product to another depending on the cut (slim, classic, regular) and material (stretch or not). So, how can consumers be confident that they are choosing the right size when shopping online?

To convince hesitant shoppers and to guarantee their satisfaction when they receive their order, clothing brand Lacoste carried out A/B testing with Kameleoon.

#### RESULTS

+1.47%

increase in sales

-22.8%

drop in returns

To transform visitors into customers, we needed to address the sizing issue. It’s one of the main challenges to online clothing sales—especially with visitors who aren’t yet familiar with our products. In addition to the size guide already present on our product pages, Kameleoon allowed us to easily implement and test a size recommendation widget.

It helps visitors choose the right size, reassures them and facilitates their purchase. This experiment resulted in a 1.47% sales increase and cut our number of returns by 22.8%.

![julien_nouet_lacoste](https://pages.kameleoon.com/hubfs/julien_nouet_lacoste.png "julien_nouet_lacoste")

Julien Nouet, 

 Global Frontend, UX and E-commerce Manager Europe

![Lacoste-1](https://pages.kameleoon.com/hubfs/Lacoste-1.svg "Lacoste-1")

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