Case Study: McDonald’s achieves optimized ordering experiences and higher average checks with Dynamic Yield

A Dynamic Yield Case Study

Preview of the McDonald Case Study

McDonald’s enhances the customer experience with a new era of digital menu decisioning

McDonald’s, a leader in quick service restaurants, has invested heavily in digital channels — mobile ordering, digital menu boards, and self‑order kiosks — as part of its Accelerating the Arches strategy. To make these channels more seamless and effective, the company identified the need for a real‑time personalization layer to deliver relevant recommendations and improve the customer ordering experience.

After testing Dynamic Yield’s personalization platform, McDonald’s acquired the company and rolled its recommendation technology out to more than 12,000 U.S. Drive Thrus within six months. Dynamic Yield’s custom deep‑learning algorithms use context (time of day, restaurant traffic, item popularity) and continual A/B testing to optimize “Recommended Items” and suggestive‑sell prompts, generating incremental average checks and expanding deployments across markets including Australia, Canada, and the UK.


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