Serving personalized homepage experiences based on affinity
2026-02-28 19:34 Diff

Serving personalized homepage content and recommendations based on user affinity

Who:

A large retailer of precious metals

Strategy:

To serve relevant product recommendations, the retailer created Audiences based on their own first-party data. Using Dynamic Yield’s user-affinity recommendations strategy, every visitor is exposed to the most relevant product recommendations at the top of the homepage.

Hypothesis:

First-party data, or the information a brand has collected about its audience over time, yields valuable insights into what a user’s preferences are on an individual level. With this data in hand, marketers can build audiences based on affinities to certain brands, colors, styles, price-ranges, and more, for the delivery of recommendations that the individual will be most likely to engage with. This user-affinity strategy not only maximizes engagement opportunities but is also hardwired to make the most effective recommendations, even as user preferences change 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

  • 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