Discrete donation data summary
This dataset contains a recency-frequency matrix capturing the discrete transaction behavior of 11,104 customers over 6 transaction opportunities, summarized as a recency-frequency matrix and a vector of annual transactions.
A matrix with 22 rows (for each possible recency-frequency combination in 6 calibration period transaction opportunities) and 4 columns: number of transactions during the calibration period (“x”), recency in the calibration period (“t.x”), number of transaction opportunities in the calibration period (“n.cal”), and number of customers with this recency-frequency combination in the calibration period (“custs”).
A matrix with 15 rows (for each possible recency-frequency combination in 5 holdout period transaction opportunities) and 4 columns: number of transactions during the holdout period (“x.star”), recency in the holdout period (“t.x.star”), number of transaction opportunities in the holdout period (“n.star”), and number of customers with the recency-frequency combination in the holdout period (“custs”).
A vector with 22 elements, containing the number of transactions made by each calibration period recency-frequency bin in the holdout period. It is in the same order as $rf.matrix.
A vector with 11 elements, containing the number of transactions made by all customers in each time period in both the calibration and holdout periods.
Data from “a major nonprofit organization located in the midwestern United States that is funded in large part by donations from individuals. In 1995 the organization “acquired” 11,104 first-time supporters; in each of the following six years, these individuals either did or did not support the organization.”
This dataset contains, for each possible in-sample recency/frequency combination in the 1995 cohort, the number of customers and the number of transactions they made during the validation period.
Data can be found online at http://www.brucehardie.com/notes/010/ (Associated Excel spreadsheet)
Fader, Peter S., Bruce G.S. Hardie, and Jen Shang. “Customer-Base Analysis in a Discrete-Time Noncontractual Setting.” Marketing Science 29(6), pp. 1086-1108. 2010. INFORMS. http://www.brucehardie.com/papers/020/
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