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There are a number of filters that you can apply to customers to segment them. The table below describes all of the available filters.
Filter | Options | Description |
---|---|---|
What someone has done or not done | Started checkout | This filter is one of the most popular filters to use. The filter allows you to look at the activity of the customer within the given time period. |
If someone is or is not in a list | is in <list> | Checks the customers list membership. |
Loyalty point balance | is more than <number> | Checks the loyalty points that the customer has earned. Useful to remind the customer that hasn’t purchased in a while that they have loyalty points to redeem. |
Tags on someone | is tagged with <value> | Checks if the tags on the customer profile. |
Properties about someone | text properties | Comparison operators to properties set on the customer profile. Each of the four different types of properties have their own comparison options. |
If someone is or is not within the EU | is in | |
Someone’s proximity to a location | is within | Determines if the customer is within a certain proximity to a given location. Useful to targeting customers within reasonable travel distance of an in person event. |
Analytics about someone | Average order value | Overall analytic metrics about the customer. |
Multiple Filters with Boolean Logic
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