Case Study: a non-profit SaaS provider achieves hyper-personalized donor recommendations with Cybage

a non-profit SaaS provider creates 160 donor segments with Cybage

The non-profit SaaS provider, an integrated software and financial solutions company, sought to enhance its fundraising operations through advanced data personalization and predictive analytics. They needed to modernize their platforms to improve donor segmentation, increase conversion rates, and enable data-driven campaign strategies. To address this challenge, they partnered with vendor Cybage for its technology solutions and artificial intelligence services.

Cybage implemented an AI-driven donor recommendation engine using machine learning models like K-Means and KNN for segmentation, built on AWS SageMaker. This solution enabled real-time, personalized donation asks and dynamic donor profiling. The project processed 1.2 million transactions to analyze over 300,000 unique donors, creating 160 distinct segments. This data-driven approach consolidated 500+ campaign forms and allowed the non-profit SaaS provider to significantly optimize its fundraising outcomes and donor engagement.