rfm_segment: Segmentation

In rfm: Recency, Frequency and Monetary Value Analysis

Segmentation

Description

Create segments based on recency, frequency and monetary scores.

Usage

rfm_segment(
  data,
  segment_names = NULL,
  recency_lower = NULL,
  recency_upper = NULL,
  frequency_lower = NULL,
  frequency_upper = NULL,
  monetary_lower = NULL,
  monetary_upper = NULL
)

Arguments

data	An object of class rfm_table.
segment_names	Names of the segments.
recency_lower	Lower boundary for recency score.
recency_upper	Upper boundary for recency score.
frequency_lower	Lower boundary for frequency score.
frequency_upper	Upper boundary for frequency score.
monetary_lower	Lower boundary for monetary score.
monetary_upper	Upper boundary for monetary score.

Examples

# analysis date
analysis_date <- as.Date('2006-12-31')

# generate rfm score
rfm_result <- rfm_table_order(rfm_data_orders, customer_id, order_date,
revenue, analysis_date)

# segment names
segment_names <- c("Champions", "Potential Loyalist", "Loyal Customers",
                   "Promising", "New Customers", "Can't Lose Them",
                   "At Risk", "Need Attention", "About To Sleep", "Lost")

# segment intervals
recency_lower <-   c(5, 3, 2, 3, 4, 1, 1, 1, 2, 1)
recency_upper <-   c(5, 5, 4, 4, 5, 2, 2, 3, 3, 1)
frequency_lower <- c(5, 3, 2, 1, 1, 3, 2, 3, 1, 1)
frequency_upper <- c(5, 5, 4, 3, 3, 4, 5, 5, 3, 5)
monetary_lower <-  c(5, 2, 2, 3, 1, 4, 4, 3, 1, 1)
monetary_upper <-  c(5, 5, 4, 5, 5, 5, 5, 5, 4, 5)

# generate segments
segments <- rfm_segment(rfm_result, segment_names, recency_lower,
recency_upper, frequency_lower, frequency_upper, monetary_lower,
monetary_upper)

segments

rfm documentation built on May 29, 2024, 11:50 a.m.