Big Data on Small Savings
EARN’s Big Data on Small Savings research unearths rich insights into the financial lives of low-income households and provides data-driven perspectives on what works in helping individuals develop financial security.
Our original research dives into a comprehensive dataset containing financial, economic, demographic, psychosocial, and transactional data points generated by a rapidly growing community of low-income households who have begun their savings journey with SaverLife, EARN’s online savings platform. SaverLife members hail from all 50 states and are representative of the broad swath of Americans who struggle to save and are working to develop lasting financial security.
Big Data on Small Savings strives to understand the nuanced financial lives of SaverLife members, with the ultimate goal of amplifying the collective voices of low-income, underserved consumers to achieve a more equitable financial system.
Stay tuned for monthly reports and quarterly webinars that will provide a deeper dive into trends and topics that emerge in the data by signing up for EARN’s research newsletter.
About EARN’s Data and Methodology
SaverLife’s direct connection with low-income households generates millions of financial, economic, demographic, psychosocial, and transactional data points. Members complete a detailed intake questionnaire upon joining the SaverLife community and have the opportunity to link their personal bank account to the SaverLife platform. A unique combination of real-time transactional data, statistically significant surveys, and qualitative research consisting of interviews and focus groups, enables EARN to unearth rich, original insights.
EARN is committed to the privacy and protection of our members. All data collection is anonymized and secured using best-in-class security protocols.