rfmanalysisnode properties
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).
Example
node = stream.create("rfmanalysis", "My node")
node.setPropertyValue("recency", "Recency")
node.setPropertyValue("frequency", "Frequency")
node.setPropertyValue("monetary", "Monetary")
node.setPropertyValue("tied_values_method", "Next")
node.setPropertyValue("recalculate_bins", "IfNecessary")
node.setPropertyValue("recency_thresholds", [1, 500, 800, 1500, 2000, 2500])
rfmanalysisnode properties |
Data type | Property description |
|---|---|---|
recency
|
field | 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
|
Next
Current
|
Specify which bin tied value data is to be put in. |
recalculate_bins
|
Always
IfNecessary
|
|
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
|
Recency
Frequency
Monetary
|
|
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.
|