Anticipate customer's next best item - personalization use cases
2026-02-28 18:39 Diff

Win back customers by anticipating their next best item

Who:

Leading Accessories Brand

Strategy:

In order to re-engage cart abandoners, this retailer sends triggered emails with recommendations powered by a deep learning strategy, NextML, to predict the items a customer is most likely to want next, re-igniting their interest and bringing them back to their site.

Hypothesis:

Online competition for customer attention is steep, and it’s easy for them to get distracted enough for them to forget about or put off a purchase. Therefore, brands should employ shopping cart abandonment recovery solutions, such as triggered emails, to encourage shoppers to complete the checkout process. To enhance these triggers, brands can leverage a deep learning algorithm like NextML to recommend the next best series of products to customers.

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