Case Study: Cdiscount doubles promotional campaign ROI and increases sales 50% with Kameleoon's predictive targeting

ROI x2 on promotional campaigns

Cdiscount, a leading French e‑commerce retailer with 19 million monthly visitors and €3.4 billion in 2017 sales, faced intense price competition and growing customer expectation for targeted offers. To maximize the ROI of frequent coupon campaigns and avoid blanket promotions that harm user experience, the company needed to calculate each visitor’s conversion probability in real time and target offers only to those most likely to buy.

Cdiscount implemented Kameleoon’s predictive targeting algorithms to identify users’ purchase intent and serve coupons to high‑probability buyers (e.g., €10 off on carts over €99). After a short learning phase, campaign ROI doubled versus traditional promotions, targeted campaigns generated about 50% more revenue, profitability rose 2–3×, promotional costs were halved, and the approach improved customer experience and campaign orchestration—now being expanded to other use cases.

Cdiscount

Ferdinand Tormachio

Head of Sales