Increase check size via trending now –– Personalization use cases
2026-02-28 19:45 Diff

Use product recommendations to increase the average check size

Strategy:

To increase the average check size of each food order, this QSR deployed a Trending Now recommendation strategy to showcase the most popular products at each brick & mortar location. The recommendation took into account real-time data from each location to increase product discovery and drive up the check size of each customer.

Hypothesis:

Product recommendations based on real-time data allow restaurants to respond swiftly and automatically to contextual events on a location-by-location basis. For example, if Store A was located near a soccer field and children began eating there post-match, items like kids’ meals and ice cream would trend at that location and encourage more families in the vicinity to shop. At the same time, Store B around the corner, located close to an office building, might have items like coffee and muffins trending to encourage nearby workers to grab a pick-me-up. This specificity allows restaurants to more immediately meet the needs of customers, driving up product discovery and check size over time.

What real growth looks like with personalization

  • How Valamar converts travel intent into bookings with real-time context

  • What makes Saks’ personalization engine a game-changer for driving 10% more conversions?

  • Bringing the in-store expert online: How Bergzeit reinvented gear discovery with conversational commerce

  • 32% of Total Purchases from AdaptML Recommendations

  • +88% Conversion Uplift with Mastercard Predictive Spend Insights

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  • +10.3% uplift in add-to-cart rate

  • 39% decrease in same-month cancellations

  • 16% contribution to D2C revenue from Dynamic Yield

  • 16% of revenue from recommendations