Case Study: OSUgiving boosts lead prioritization and predicts donation size with Cliently

How osugiving.com is now able to not just predict future customers but also predict deal size with 93% accuracy

OSUGiving, a nonprofit raising donations for Oklahoma State University, faced the significant challenge of inefficiently managing over 35,000 annual leads with limited resources. Their marketing team was wasting time pursuing every lead equally, lacking a method to identify which prospects were most likely to become high-value donors. They partnered with vendor Cliently to implement its AI-driven revenue intelligence platform to solve this problem.

Cliently built and operationalized a custom machine learning model that scored leads based on their likelihood to donate and predicted their potential donation amount with 93% accuracy. This solution enabled OSUGiving to focus senior reps on high-value prospects and automate outreach for others. The implementation resulted in a 40% increase in team productivity, a projected 24% increase in average donation size, and savings of over $250,000.

OSUgiving