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The object of this work is to quantify the factors in influencing donor retention for a non-profit. I stratified the data and applied a patient survival model to predict the lifetimes and the hazards that will surface at different points of a donor's life. Then I calculated the Customer Lifetime Value (CLV) for each donor based on predicted lifetime, cost, and donation history. This allows the non-profit to make donor retention decisions based on data and analytics, not on instincts.