How charity: water Uses AI to Predict Donor Lapse and Optimize Water Project Targeting

By: GoBeyond Team
July 27, 2025
3 min read
charity: water AI donor retention dashboard

Quick Overview

charity: water employs machine learning to predict donor lapse patterns and analyze satellite and field data to identify communities most in need of clean water projects, improving donor retention and impact.

charity: water
charity: water
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Reducing donor attrition and improving project targeting
Key Metrics

- Reduced donor attrition significantly
- More effective targeting of water projects

The Problem

Traditional donor retention strategies were reactive and lacked predictive insights

The Solution

Used AI to forecast donor behavior and analyze geospatial data for project prioritization

Results

- Increased donor retention
- Enhanced project impact and resource allocation

Details

Industry
Nonprofit & NGO
Departments
Data & Analytics
Use Cases
Campaign Management
Predictive Modeling
Tags
Machine Learning
Predictive Modeling
Enhanced Decision-Making
Cost Reduction
AI Tools Used
No items found.
Sources
https://aiearn.io/case-study-ai-in-nonprofit-organizations/

More Case Studies

See All
How Shell Oil Company Uses AI for Predictive Maintenance Scheduling to Reduce Downtime
Manufacturing
How DNB Uses AI Chatbot Aino to Automate Customer Service and Manage High Query Volumes
Finance & Banking
How JPMorgan Chase Leverages AI Across Banking Operations to Boost Sales, Manage Risks, and Enhance Client Experiences
Finance & Banking
How Cvent Enhances Conference Networking and Planning with AI Matchmaking and Virtual Assistance
Hospitality & Tourism
How Nike and AKQA Used AI and Machine Learning to Simulate a Virtual Tennis Match Between Serena Williams’ Past and Present Selves
Retail & E-commerce
How easyA Built AI-Powered Dashboards to Unify Finance and Fitness Data for Real-Time Insights
Finance & Banking

🤖 Chat with AI

Type...