fifty-five’s solution Rank drives 3Suisses’ overall revenue by 15%
CLIENT
3Suisses is a leading e-commerce player
3Suisses
that operates in over 20 countries. Their website www.3Suisses.fr is the third French fashion website, with millions of visitors and clients everyday. Considering the large size of their inventory and the diversity of the products they offer, optimising the display of merchandise online is essential for maximising performance.
SECTOR
Online Retail SIZE
#3 French fashion website
fifty-five created Rank: a solution that calculates the optimal ranking of inventory on a website, in order to quickly prompt customer interest and increase click-through rates, ultimately uplifting conversion rates and overall revenue.
How can we uplift revenue by optimising the ranking of products displayed on our website? Rank is entirely customisable Rank is designed for e-retailers and can adapt to their specific context and objectives. Working with 3Suisses, fifty-five selected 3 KPIs to focus on: the click-through rate, the add-to-cart rate, and the conversion rate
+20% in add-to-cart rate
+15% in overall revenue
Efficient use of web-analytics and back office data Rank bases its statistical calculations on selected variables. In order to optimise the ordering of products on 3Suisses, fifty-five selected 3 variables: •
Web analytics signals
•
Merchandising and pricing data
•
Stock data
This allows fifty-five to predict product performance and sales potential based on both popularity and availability, in order to produce the exact ranking of products that will prompt visitors to click and buy.
www.fifty-five.com |
[email protected] | Paris • London • Hong Kong • Shanghai • New York
fifty-five proprietary
Machine learning algorithm Rank’s statistical calculations continuously learn from the data they analyse, so that the precision of the predictions made on product performance keeps improving over time.
A/B testing to measure real benefits In order to precisely measure Rank’s performance increment, the traffic exposed to Rank is randomly divided into lots. One share of visitors is exposed to Rank’s ordering (population A), while another share is exposed to sections ordered with the previous system (population B). A smaller share of traffic is exposed to products randomly ordered (population C). These A/B tests allow fifty-five to: 1. Measure Rank’s performance by comparing KPIs for population A against population B 2. Collect data that is independent from algorithmic or human choices, in order to improve performance by gathering exploration data sets (population C) Results By optimising the ordering of products on their website with Rank, 3Suisses increased their add-to-cart rate by 20%, ultimately increasing their overall revenue by 15%.
Part of You & Mr Jones, the world’s first brandtech group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise.
www.fifty-five.com |
[email protected] | Paris • London • Hong Kong • Shanghai • New York
fifty-five proprietary
