Case Study: Robin Hood reaches 10,000 New Yorkers eligible for $15M in benefits with Civis Analytics

A Civis Analytics Case Study

Preview of the Robin Hood Case Study

Robin Hood reaches 10,000 New Yorkers with $15M in potential benefits using Civis Analytics

Robin Hood, an organization dedicated to alleviating poverty in New York City, faced the challenge of identifying residents who were eligible for but not enrolled in key benefit programs like the Earned Income Tax Credit and SNAP. Without individual-level data and with survey research being difficult, they turned to Civis Analytics for a solution using data modeling.

Civis Analytics built a model using U.S. Census microdata to estimate eligibility and non-participation in specific geographic areas and demographic segments. This allowed Robin Hood to target their outreach efforts with precision. As a result of implementing Civis's solution, Robin Hood launched a targeted campaign that successfully reached 10,000 eligible people, unlocking over $15 million in potential benefits for New Yorkers in need.


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