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• W4285725423 abstract "We present a Compound Poisson Mixture Regression model of the joint distribution of transaction frequency and monetary value, and apply it to study alumni donations at a university in the USA. The model captures covariate effects, recognizing that both response variables emanate from one statistical unit — a donor. Heterogeneity, group-level factors, and other features of the data are captured through coefficients that vary between segments. The data in the study are transaction records for the 2000–2016 period, and a survey conducted in 2017. Despite including subjective factors from the survey, the results suggest that between-segment differences are unobserved. Heterogeneity is manifested in covariates, including subjective factors – psychological distance, perceptions of donation impact, willingness to volunteer – displaying stratified effects on either transaction amounts, frequencies, or compound effects on both variables. Characterization of such effects supports the development of tailored fundraising/marketing strategies aimed at increasing donor retention and lifetime value. • Model effect of covariates on joint distribution of transaction frequency and monetary value. • Analyze transactions and segment donors to a private, research university in the Midwestern US. • Data include donation/individual records and a survey to gauge alumni experiences and feelings. • Results show clear distinctions between recurring and sporadic donors. • Recurring donors respond to (changes in) perceptions of connectedness and of donation impact." @default.
• W4285725423 created "2022-07-18" @default.
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• W4285725423 date "2022-11-01" @default.
• W4285725423 modified "2023-09-29" @default.
• W4285725423 title "Analysis of factors influencing recurring donations in a university setting: A compound poisson mixture regression model" @default.
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• W4285725423 doi "https://doi.org/10.1016/j.jbusres.2022.07.026" @default.
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