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 Statworx Deploys AI Models to Optimize Upsell and Cross-Sell Campaigns for Clients
Professional Services & Consulting
How Forbes Uses Quill AI to Generate SEO-Optimized Business and Finance Articles at Scale
Media & Entertainment
How Harbinger Group Developed AI-Powered Onboarding and Learning for a Multinational Investment Bank
Finance & Banking
How DBS Bank Leverages AI and Cloud to Enhance Credit Risk Management, Customer Engagement, and Operational Efficiency
Finance & Banking
How Botkeeper Uses AI to Automate Bookkeeping and Empower Accounting Firms to Scale
Technology & SaaS
How Alibaba Increased Sales and Streamlined Content Creation with AIRec and NLP
Retail & E-commerce

🤖 Chat with AI

Type...