BU.450.760 Codebook C2.1 – L.L.Bean Catalog Targeting Prof.
Codebook for the “LLBean catalog targeting” dataset
Simulated data, inspired by the L.L.Bean catalog targeting problem discussed in class.
Data Set Information:
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The dataset contains information of a subsample of L.L.Bean customers, all of which were targeted by a previous catalog campaign. The variable y1 records responses and y2 records response- condition purchase amounts.
Attribute Information:
Y1: =1 if customer bought from the store during the month after receiving the catalog, =0 otherwise Y2: amount spent in response (only available for Y1=1 customers)
Recency: number of weeks elapsed since the customer last purchased from L.L.Bean prior to receiving the catalog
Web_brosing: score 0-10 which qualifies purchase intent based on customers’ web browsing behavior
App_brosing: score 0-10 which qualifies purchase intent based on customers’ app browsing behavior
Zip_income: average household income in the customers’ 5-digit zip code area Education: each customers’ imputed educational level
Householdsize: each customers’ imputed household size (number of people in household)
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