Personalization and Recommedation Engines in iGaming
2026-02-28 17:03 Diff

Recommending personalized scratch cards, slots, and lottery games

Strategy:

In order to provide a better betting experience for its players, the gaming giant employed Dynamic Yield’s Recommendations Engine to provide personalized scratch cards, slots, and lottery games.

Hypothesis:

Recommendations are a tried-and-true tactic for increasing discoverability and AOV. Brands should tailor recommendations according to real-time data, especially a user’s behavior, geo, device, and affinities. By effectively doing so, as well as making sure to leverage recommendation widgets across the site, brands can create a positive user experience, drive loyalty, and also maximize the potential for additional revenue.

Templates that can be used to achieve this:

Your Dynamic Yield account comes preloaded with a rich library of personalization templates, so that you can launch personalization use-cases instantly without requiring any additional design and development effort.

Discover the Template Library

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