Personalized promotions that double engagement

Carrefour had spent years building deep customer knowledge through its CRM, loyalty program, and purchase history data. The problem was that none of it was connected to its promotional engine. Every customer received the same generic digital, regardless of what they actually bought, where they shopped, or what they cared about. Applying retail personalized promotions at the scale of a major retail network, across thousands of SKUs, local pricing variations, and store-specific assortments, was a technical challenge no off-the-shelf solution could solve.

Carrefour partnered with ARISTID to build the technological bridge between its Salesforce CRM and ARISTID Promotional Data Hub, creating a single source of truth that could power truly personalized promotion at scale. ARISTID connects to Carrefour’s Salesforce CRM without replacing it, pulling customer signals into the promotional engine to inform offer selection. The platform applied a triple personalization model: who the customer is (CRM and purchase behavior sourced directly from Salesforce), what their store actually carries and at what price (local store data), and which channel and format they are most likely to engage with (omnichannel delivery).

Using machine learning personalized retail promotions logic, the platform could generate unique personalized offers for each customer across multiple formats, from digital catalogs to paid social, combining the richness of a traditional circular with the precision of 1-to-1 targeting.

Carrefour now relies on a Salesforce x ARISTID x Meta ecosystem to personalize 100% of its offers to 10 million customers. On these campaigns, reach is 56% higher than non-personalized activity.

This drive-to-store campaign case study demonstrates what distributed marketing success looks like at network scale. Local campaigns became faster to launch, fully on-brand, and traceable from the center. Stores gained the flexibility to act on what they knew about their market, without stepping outside the brand framework. And for the first time, Intermarché HQ had structured visibility into local promotional activity across the network, turning store-level data into a genuine source of strategic insight. The integration with Meta delivered measurable drive-to-store impact, with early results confirming the potential to roll out across the full network.