Customer filters

Overview of the customer base filtration options
​Boomerangme > Left-Hand Menu > Customers​
Customer filtration by parameters and filter groups have been added to the customer base
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1.Filters include the following parameters:
Card balance
Device type
Card serial number
Card status
UTM-tag
Current number of uses
Registration date
Email
Gender
Name
Phone
Unused rewards
Number of stamps
Customer birthday
Filters can overlap on an AND/OR condition
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Filter can include:     
      comparison to a specific value (string, number, etc.): equal, not equal, more, less, etc.   
      entering a range of values: e.g. date from - date to 
      entering an array of values: equal to one from the list
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For example, the "Card balance" filter
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2.Filter Groups are ready-to-use presets based on filters. Each filter in a group can be applied individually or combined
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There are currently 3 groups of filters, but they will be added quickly.

The first filter group “RFM - segments” is a method of analysis that allows you to segment customers based on two variables - duration and frequency of visits. 
The following visit periods are included in the analysis:
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0 to 30 days:

Number of visits from 0 to 3: RFM - Beginners
Number of visits from 4 to 7: RFM - Growths
Number of visits from 8 to 12: RFM - Champions
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31 to 60 days:
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Number of visits 0 to 3: RFM - Doubtful
Number of visits from 4 to 7: RFM - Medium (borderline)
Number of visits from 8 to 12: RFM - Loyal - Regular
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61 to 90 days:
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Number of visits 0 to 3: RFM - Sleeping
Number of visits from 4 to 7: RFM - At risk
Number of visits from 8 to 12: RFM - Needs attention
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"Health" group contains filters that can be used to sort clients with missing data/not installed cards:
Card status not installed
Unknown gender
Empty birthday
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The "Loyalty" filter group includes filters:
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Card status installed
Apple Wallet
Wallet Passes
Google Pay
PWA
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RFM analysis
Last modified 6mo ago