library(rfm)
analysis_date <- lubridate::as_date("2006-12-31", tz = "UTC")
rfm_result <- rfm_table_order(rfm_data_orders, customer_id, order_date, revenue, analysis_date)
rfm_result
segment_names <- c(
"Champions", "Loyal Customers", "Potential Loyalist",
"New Customers", "Promising", "Need Attention", "About To Sleep",
"At Risk", "Can't Lose Them", "Lost"
)
recency_lower <- c(4, 2, 3, 4, 3, 2, 2, 1, 1, 1)
recency_upper <- c(5, 5, 5, 5, 4, 3, 3, 2, 1, 2)
frequency_lower <- c(4, 3, 1, 1, 1, 2, 1, 2, 4, 1)
frequency_upper <- c(5, 5, 3, 1, 1, 3, 2, 5, 5, 2)
monetary_lower <- c(4, 3, 1, 1, 1, 2, 1, 2, 4, 1)
monetary_upper <- c(5, 5, 3, 1, 1, 3, 2, 5, 5, 2)
segments <-
rfm_segment(
rfm_result,
segment_names,
recency_lower,
recency_upper,
frequency_lower,
frequency_upper,
monetary_lower,
monetary_upper
)
Problem
Expectation:
rfm_segment()on the example vignette, customers withrfm_scoreof 555 should be assigned Champions tag, per input thresholds, such as the customer below.Reality:
Suggestion
In conditional logic for assigning segments, add an extra condition such as:
Reprex