AI case study

Children's Hospital of PhiladelphiaFundraising analytics

Static rules missed donor motivations. Predictive models now personalize outreach, boosting response rates 85% and gift sizes 25%.

Published|1 year ago

Key results

Gift Size Increase
25%
Faster Giving Cycle
17%
Response Rate Increase
85%

Result highlights

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The story

Context

The nation's first pediatric hospital pioneers medical breakthroughs like fetal heart surgery while serving patients from around the world.

Challenge

Conventional segmentation strategies failed to capture the diverse motivations of supporters, such as specific connections to hospital units. This...

Solution
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Quotes

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The company

Children's Hospital of Philadelphia logo

Children's Hospital of Philadelphia

chop.edu

Pediatric hospital system and medical research institute.

IndustryHealthcare Providers
LocationPhiladelphia, PA, USA
Employees10K-50K
Founded1855

The AI provider

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

The implementation partner

Developed an Azure-based constituent identity solution and data pipeline for CHOP's fundraising.

IndustryMedia
LocationTulsa, OK, USA
Employees1K-5K
Founded1992

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