Menu items based on purchase history –– Personalization use cases
2026-02-28 17:09 Diff

Strategy:

A leading global QSR personalized its kiosks by encouraging customers to log in via a quick scan on their phones. Once logged in, the content in the kiosks was tailored, showcasing items based on the individual’s past purchases. New products that matched the customer’s affinity were also displayed to increase product discovery. Over time, this led to an increase in the variety and checkout size of known user purchases, which encourages customer loyalty and increases revenue from returning customers.

Hypothesis:

By personalizing kiosks to display items based on past purchases and user affinity, a customer is more likely to find a plethora of items that match their preferences and needs. This increases the variety of a customer’s orders and average cart size over time, encouraging loyalty and repeat business.

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

  • Making Personalization a Breeze for Leading Financial Institutions

  • +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