RFM table
RFM table (transaction data)
RFM table (customer data)
RFM Data Set
RFM transaction data
RFM customer data
A dataset containing customer level data.
+ + +rfm_data_customer
+
+ A tibble with 39,999 rows and 5 variables:
Customer id.
Total amount of all orders.
Date of the most recent transaction.
Total number of transactions/orders.
Number of days since last transaction/order.
Recency, frequency, monetary and RFM score.
+ + +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, ...)+ +
| data | +A |
+
|---|---|
| customer_id | +Unique id of the customer. |
+
| n_transactions | +Number of transactions/orders. |
+
| recency_days | +Number of days since the last transaction. |
+
| analysis_date | +Date of analysis. |
+
| recency_bins | +Number of bins for recency. |
+
| frequency_bins | +Number of bins for frequency. |
+
| monetary_bins | +Number of bins for monetary. |
+
| ... | +Other arguments. |
+
rfm_table returns a tibble with the following columns:
Unique id of the customer.
Number of days since the most recent transaction.
Total number of transactions of the customer.
Revenue from the customer.
+analysis_date <- lubridate::as_date('2007-01-01', tz = 'UTC') +rfm_table_customer(rfm_data_customer, customer_id, number_of_purchases, +purchase_interval, total_amount, analysis_date)#> # A tibble: 39,999 x 8 +#> customer_id recency_days transaction_count amount recency_score +#> <dbl> <dbl> <dbl> <dbl> <int> +#> 1 1.00 229 10.0 1313 2 +#> 2 2.00 467 11.0 1230 1 +#> 3 3.00 143 13.0 1194 3 +#> 4 4.00 222 9.00 794 2 +#> 5 5.00 659 3.00 278 1 +#> 6 6.00 157 9.00 922 3 +#> 7 7.00 195 11.0 961 2 +#> 8 8.00 572 6.00 615 1 +#> 9 9.00 244 9.00 1097 2 +#> 10 10.0 239 12.0 1164 2 +#> # ... with 39,989 more rows, and 3 more variables: frequency_score <int>, +#> # monetary_score <int>, rfm_score <dbl>+
analysis_date <- lubridate::as_date('2006-12-31', tz = 'UTC') +analysis_date <- lubridate::as_date('2006-12-31', tz = 'UTC') rfm_table_order(rfm_data_orders, customer_id, order_date, revenue, analysis_date)#> # A tibble: 995 x 9 #> customer_id date_most_recent recency_days transaction_count amount #> <chr> <date> <dbl> <dbl> <dbl> diff --git a/man/rfm_data_customer.Rd b/man/rfm_data_customer.Rd new file mode 100644 index 00000000..2f88acca --- /dev/null +++ b/man/rfm_data_customer.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rfm-data.R +\docType{data} +\name{rfm_data_customer} +\alias{rfm_data_customer} +\title{RFM customer data} +\format{A tibble with 39,999 rows and 5 variables: +\describe{ + \item{customer_id}{Customer id.} + \item{total_amount}{Total amount of all orders.} + \item{most_recent_visit}{Date of the most recent transaction.} + \item{number_of_purchases}{Total number of transactions/orders.} + \item{purchase_interval}{Number of days since last transaction/order.} +}} +\usage{ +rfm_data_customer +} +\description{ +A dataset containing customer level data. +} +\keyword{datasets} diff --git a/man/rfm_data_orders.Rd b/man/rfm_data_orders.Rd index 73994e38..86e7e46b 100644 --- a/man/rfm_data_orders.Rd +++ b/man/rfm_data_orders.Rd @@ -3,7 +3,7 @@ \docType{data} \name{rfm_data_orders} \alias{rfm_data_orders} -\title{RFM Data Set} +\title{RFM transaction data} \format{A tibble with 49.6 rows and 3 variables: \describe{ \item{order_date}{order date} diff --git a/man/rfm_table_customer.Rd b/man/rfm_table_customer.Rd new file mode 100644 index 00000000..f273416a --- /dev/null +++ b/man/rfm_table_customer.Rd @@ -0,0 +1,46 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/rfm-table.R +\name{rfm_table_customer} +\alias{rfm_table_customer} +\title{RFM table (customer data)} +\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{ +\item{data}{A \code{data.frame} or \code{tibble}.} + +\item{customer_id}{Unique id of the customer.} + +\item{n_transactions}{Number of transactions/orders.} + +\item{recency_days}{Number of days since the last transaction.} + +\item{analysis_date}{Date of analysis.} + +\item{recency_bins}{Number of bins for recency.} + +\item{frequency_bins}{Number of bins for frequency.} + +\item{monetary_bins}{Number of bins for monetary.} + +\item{...}{Other arguments.} +} +\value{ +\code{rfm_table} returns a tibble with the following columns: + +\item{customer_id}{Unique id of the customer.} +\item{recency_days}{Number of days since the most recent transaction.} +\item{transaction_count}{Total number of transactions of the customer.} +\item{revenue}{Revenue from the customer.} +} +\description{ +Recency, frequency, monetary and RFM score. +} +\examples{ +analysis_date <- lubridate::as_date('2007-01-01', tz = 'UTC') +rfm_table_customer(rfm_data_customer, customer_id, number_of_purchases, +purchase_interval, total_amount, analysis_date) + +} diff --git a/man/rfm_table_order.Rd b/man/rfm_table_order.Rd index c4c7b8d4..f55b14cc 100644 --- a/man/rfm_table_order.Rd +++ b/man/rfm_table_order.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/rfm-table.R \name{rfm_table_order} \alias{rfm_table_order} -\title{RFM table} +\title{RFM table (transaction data)} \usage{ rfm_table_order(data = NULL, customer_id = NULL, order_date = NULL, revenue = NULL, analysis_date = NULL, recency_bins = 5,