calculateRFMScores: calculateRFMScores

In ninakoenig/RFMPackage: Calculate Recency, Frequency and Monetary Value scores from transaction data.

Description

Calculate a weighted RFM score: recency, frequency, and monetary value.

Usage

calculateRFMScores(data, weight_recency = 1, weight_frequency = 1,
  weight_monetary = 1)

Arguments

data	- A data.table containing the transaction details for every customer. Transaction date has to be of the lubridate form "yyyy-mm-dd" and have name "TransDate".
r	- Weight of recency.
f	- Weight of frequency.
m	- Weight of monetary value.

Details

data contains the transactional data. The dataset must contain a column labeled "Customer" that allows unique customer identification and a column labeled "TransDate", indicating the purchase date. The column "PurchAmount" specifies the total spending per purchase.

Value

Returns a data.table containing the recency, frequency and monetary score as well as the weighted final score and the group membership.

ninakoenig/RFMPackage documentation built on May 28, 2019, 3:12 p.m.