3Suisses is a leading e-commerce player 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. 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?

1. fifty-five’s solution Rank drives
3Suisses’ overall revenue by 15%
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
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.
3Suisses is a leading e-commerce player
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.
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?
CLIENT
3Suisses
SECTOR
Online Retail
www.fifty-five.com | contact@fifty-five.com | Paris • London • Hong Kong fifty-five proprietary
+20%
+15%
in add-to-cart
rate
in overall
revenue
SIZE
#3 French fashion website

2. 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%.
fifty-five, the data agency
fifty-five helps brands leverage their data to increase marketing, advertising, and sales effectiveness.
We help businesses collect, enrich, and activate their data to find new customers, foster engagement,
increase conversion, and drive sales across online and offline channels. We work with our clients to
achieve these goals using a combination of consulting, software, and managed services. Co-founded
by former Google executives, fifty-five has offices in Paris, London and Hong Kong.
www.fifty-five.com | contact@fifty-five.com | Paris • London • Hong Kong fifty-five proprietary