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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 |
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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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Ranking is especially powerful when creating a segment to populate a Facebook custom audience. You have the ability to select the top 25% of your customers that purchased within the last year based upon their total order value. As Facebook finds you more customers of this quality, your average customer value would increase over time and the segment would dynamically adjust to include only the cream of the crop.
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