Quick Overview
American Cancer Society applied machine learning to identify optimal communication channels and messaging for donors, significantly enhancing fundraising campaign effectiveness.
American Cancer Society
Company Size
~3,000 employees
Revenue Range
$1B+ annual revenue
Primary Challenge
Maximizing donor engagement and fundraising efficiency
Key Metrics
\- 400% increase in donation conversion rates\- Optimized fundraising effectiveness
The Problem
Traditional fundraising campaigns lacked data-driven targeting, limiting donor engagement
The Solution
Leveraged machine learning algorithms to analyze donor data and tailor communication strategies
Results
\- Dramatic increase in donation conversions\- More efficient use of fundraising resources\- Enhanced donor engagement and retention
“Machine learning has transformed how we connect with donors, maximizing every fundraising dollar.”
Keith Weller, VP Enterprise Technology Services, ACS
Details
Industry
Nonprofit & NGO
Departments
Finance & Accounting
Use Cases
Campaign Management
Tags
Machine Learning
Predictive Modeling
Enhanced Decision-Making
Cost Reduction
AI Tools Used
No items found.
Sources
https://www.linkedin.com/pulse/case-studies-showcasing-how-nonprofits-utilizing-ai-enhance-phillipshttps://cloud.google.com/customers/american-cancer-societyhttps://www.sap.com/sea/insights/viewpoints/how-nonprofits-use-ai-to-find-and-keep-good-donors.html
More Case Studies
See All
How Zillow Uses AI and Machine Learning to Deliver Highly Accurate Real-Time Home Valuations
Real Estate
How Obayashi Corporation’s AiCorb Uses AI to Rapidly Generate Building Facade Designs and Streamline Architectural Workflows
Construction
How “Bird Woman, Sacajawea” Used D-ID’s Generative AI for Facial Animation and Inclusive Storytelling
Media & Entertainment
How ApiX-Drive Automated HR Processes to Increase Productivity by 30%
Recruitment
How Studio Rx Boosted Production and Creativity with Adobe Firefly Custom AI Models
Marketing & Advertising
How Walmart Uses Predictive Analytics to Optimize Inventory, Reduce Waste, and Improve Customer Satisfaction
Retail & E-commerce