Inline content recommendations — Personalization use cases
2026-02-28 18:46 Diff

Featuring personalized, inline content recommendations to drive content clicks

Who:

A large content outlet

Strategy:

To increase clicks, the publisher embeds inline content recommendations directly into their articles, continuously testing recommendation strategies and optimizing the layout.

Hypothesis:

No two users respond the same way to how a site is structured or content is ordered, which is why layout testing is so important. Some may not end up reading an article in its entirety, while others simply lose interest or perhaps want to move on to the next piece of content. Rather than leaving the reader to discover what’s next on their own, or forcing them back to the homepage to start their search again, publishers can embed inline recommendations and continue to optimize them over time for maximum engagement. For example, moving them up higher on the page or ahead of other sections.

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