rfm_table_customer: RFM table (customer data)

In rfm: Recency, Frequency and Monetary Value Analysis

Description

Recency, frequency, monetary and RFM score.

Usage

rfm_table_customer(
  data = NULL,
  customer_id = NULL,
  n_transactions = NULL,
  recency_days = NULL,
  total_revenue = NULL,
  analysis_date = NULL,
  recency_bins = 5,
  frequency_bins = 5,
  monetary_bins = 5,
  ...
)

Arguments

data	A data.frame or tibble.
customer_id	Unique id of the customer.
n_transactions	Number of transactions/orders.
recency_days	Number of days since the last transaction.
total_revenue	Total revenue from the customer.
analysis_date	Date of analysis.
recency_bins	Number of bins for recency or custom threshold.
frequency_bins	Number of bins for frequency or custom threshold.
monetary_bins	Number of bins for monetary or custom threshold.
...	Other arguments.

Value

rfm_table_order returns a list with the following:

rfm	RFM table.
analysis_date	Date of analysis.
frequency_bins	Number of bins used for frequency score.
recency_bins	Number of bins used for recency score.
monetary_bins	Number of bins used for monetary score.
threshold	tibble with thresholds used for generating RFM scores.

Examples

analysis_date <- lubridate::as_date('2007-01-01')
rfm_table_customer(rfm_data_customer, customer_id, number_of_orders,
recency_days, revenue, analysis_date)

# access rfm table
result <- rfm_table_customer(rfm_data_customer, customer_id, number_of_orders,
recency_days, revenue, analysis_date)
result$rfm

# using custom threshold 
rfm_table_customer(rfm_data_customer, customer_id, number_of_orders, 
recency_days, revenue, analysis_date, recency_bins = c(115, 181, 297, 482), 
frequency_bins = c(4, 5, 6, 8), monetary_bins = c(256, 382, 506, 666))

rfm documentation built on July 21, 2020, 5:06 p.m.