Increased student pool by 50%, admission enrolment rates by 15%, and reduced drop-out rate by 10% for a leading medical school
The client is a leading US-based university with top-ranked academic programs and top-tier research facilities. With a diverse student body of more than 56,000 students, the educational institution was looking to reengage the alumni base to offset the drop in funding from enrolment and other contributions. The client had a strong network of more than 200,000 executives, leaders, and influencers worldwide. The challenge was to engage them meaningfully and offset declining revenues with alumni giving.
Our solution helped the institution to expand the donor pool and enrich data sets to analyze the gift pyramid stacked by contribution to identify givers at all levels. We use Machine Learning technology to build a motivated donor base by identifying and segmenting preferred communication channels, interests, and goals. We helped develop a propensity model to target givers with their preferences and needs. The ML-powered solution explored top contributing actors to optimize first contact to contribution.