AI and personalization

Our debt diagnostic tool, which provides personalized recommendations based on a member’s financial situation, saw strong engagement: 87% of users who started the tool finished the diagnostic, and 35% continued into additional debt or credit support.

Personalized recommendations delivered through the Navigator have seen nearly 10x higher uptake than recommendations delivered via email.

One in three SaverLife members is a 1099 worker. SaverLife examined the unique financial challenges they face, from navigating taxes to managing inconsistent income, and tested interventions to understand how personalized, tailored content could better support their financial stability.

SaverLife built the Financial Health Navigator to help members turn complex financial situations into clearer, more achievable next steps. Using AI, the Navigator synthesizes self-reported, behavioral, and geographic data to develop a more complete understanding of each member’s financial situation and needs over time. By analyzing how members engage with the platform, the goals they identify, and the financial pressures they report, the Navigator delivers tailored, actionable guidance focused on the next step most relevant to each member.

We surveyed members living in 3 regions of the South – Alabama, Georgia, and the Washington D.C., Virginia, and Maryland (DMV) area. What emerged was a roadmap for providing geographically targeted support to our members.

We discovered that medical debt was especially prevalent in Alabama and Georgia, where nearly half of surveyed members reported carrying it (44% and 49%, respectively), far above the national average of roughly 9%.