The Recency, Frequency, Monetary (RFM) Analysis node enables you to
determine quantitatively which customers are likely to be the best ones by examining how recently
they last purchased from you (recency), how often they purchased (frequency), and how much they
spent over all transactions (monetary).
Specify the recency field. This may be a date, timestamp, or simple number.
frequency
field
Specify the frequency field.
monetary
field
Specify the monetary field.
recency_bins
integer
Specify the number of recency bins to be generated.
recency_weight
number
Specify the weighting to be applied to recency data. The default is 100.
frequency_bins
integer
Specify the number of frequency bins to be generated.
frequency_weight
number
Specify the weighting to be applied to frequency data. The default is 10.
monetary_bins
integer
Specify the number of monetary bins to be generated.
monetary_weight
number
Specify the weighting to be applied to monetary data. The default is 1.
tied_values_method
NextCurrent
Specify which bin tied value data is to be put in.
recalculate_bins
AlwaysIfNecessary
add_outliers
flag
Available only if recalculate_bins is set to IfNecessary.
If set, records that lie below the lower bin will be added to the lower bin, and records above the
highest bin will be added to the highest bin.
binned_field
RecencyFrequencyMonetary
recency_thresholds
value value
Available only if recalculate_bins is set to Always.
Specify the upper and lower thresholds for the recency bins. The upper threshold of one bin is used
as the lower threshold of the next—for example, [10 30 60] would define two bins,
the first bin with upper and lower thresholds of 10 and 30, with the second bin thresholds of 30 and
60.
frequency_thresholds
value value
Available only if recalculate_bins is set to Always.
monetary_thresholds
value value
Available only if recalculate_bins is set to Always.
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