Serve relevant offers to disengaged customers - Personalization use cases
2026-02-28 17:01 Diff

Get disengaged customers to come back to your institution with relevant, timely, and personalized offers

Who:

Leading fintech company

Strategy:

This leading Fintech company leveraged user predictive spend to identify and target customers who were likely to disengage from their card with relevant offers. By delivering personalized time-bound offers, this Fintech company was able to decrease and prevent attrition of customers who were previously at risk.

Hypothesis:

Disengaged customers aren’t likely to return to an institution without a reason, and incentivizing spend is a strong motivator to continue using a card. By promoting personalized offers to customers at risk of attrition, fintech companies can expect to see reengagement from this audience.

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