Digital circulars that convert customers

Carrefour was running promotions across print circulars, owned digital channels, apps, and paid media simultaneously. The problem was not the volume, it was the lack of connection between them. Each format ran on its own data, its own workflow, and its own production process. Teams had no reliable way to measure which formats were driving in-store traffic, which offers were converting, or where budget was being wasted. Scaling digital meant adding complexity, not replacing it.

Carrefour had already committed to reducing its print footprint. The challenge was building the digital foundation that would make that transition possible without losing reach or commercial impact.

Carrefour deployed ARISTID to centralize all promotional product data into a Single Source of Truth, creating the foundation required for any credible omnichannel retail promotion strategy. From that single data hub, ARISTID automated the production of retail digital circulars, digital grocery circulars for owned app and web channels, and print materials, all generated from the same structured workflow.

ARISTID also enabled Carrefour to layer in CRM-driven personalization, serving relevant offers to individual customers based on behavior and purchase history, while keeping print running where it continued to perform.

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

This promo digitalization case study shows what becomes possible when data, production, and distribution are finally connected. Carrefour reduced promotional production costs significantly, accelerated time to market, and for the first time had granular visibility into what was driving engagement across every format. Print and digital ran together efficiently, and the data made it clear where to invest next. The result was measurable success while transitioning to a smarter, more connected promotional model.