🗃️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
Filters include the following parameters:
Card balance
Device type
Card serial number
Card status
UTM Source
Actual stamps balance / Available visits (multipass)
Registration date
Email
Gender
Name
Phone
Available rewards
Number of stamps
Customer birthday
Card bonus balance
UTM Medium
UTM Campaign
Card expiry date
Card last visited date
Number of customer visits
Visit purchase value

Filters can overlap on an AND/OR condition

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
For example, the "Card balance" filter

Filter Groups are ready-to-use presets based on filters. Each filter in a group can be applied individually or combined
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:
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
31 to 60 days:
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
61 to 90 days:
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

"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

The "Loyalty" filter group includes filters:
Card status installed
Apple Wallet
Wallet Passes
Google Pay
PWA

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