Overview
Segments are fully dynamic groupings of customers based the historical actions and properties. Segments support multiple rules with AND/OR logic operations to allow for complex segmentation. Time based filtering can be used to look at historical actions within a specific period.
An example of a populate segment would be “Customers That Have Purchased From You ”.
Building a Segment
Navigation to Lists & Segments under StoreFront Communications and then click the New List or Segment button.
Next click on the new segment button as shown below.
Give the segment a name and then continue on to configure filters. Filters will be discussed in more depth below. Once complete click the Create Segment button.
Segment Filters
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 Started checkout value Return cart Return cart value Ordered product Ordered product value Placed order Placed order value Fulfilled order Fulfilled order value Subscribed to List Unsubscribed from List Clicked Email Delivered Email Opened Email Marked Email as Spam | 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
| Checks the customers list membership. |
| Loyalty point balance | is more than | 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 | Checks if the tags on the customer profile. |
| Properties about someone | text properties equals doesn’t equal contains doesn’t contain is in is not in starts with doesn’t start with end’s with doesn’t end with is set is not set number properties equals doesn’t equal is at least is more than is less than is at most date properties is in the last is at least is at most is in between is in the next is before is after is today is in this month is in the month of boolean properties is true is false | 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 is not in | |
| Someone’s proximity to a location | is within is not 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 Average days between orders Historical customer lifetime value Historical number of orders | Overall analytic metrics about the customer. |
Multiple Filters with Boolean Logic
After you have established your first filter, you can add additional filters by clicking either the OR or AND buttons as shown below.
Integration with Facebook custom audiences
If you have the Facebook Analytics application connected to your StoreFront, a custom audience based upon this segment can be created within Facebook. To connect the Facebook Analytics application, please contact UltraCart Support for an invite to the application and then connect under Privacy & Tracking → Other.
The ability to create a custom audience within Facebook based upon a dynamically changing segment is incredibly power. Telling Facebook what constitutes a great customer allows them to find you “look alike” audiences to attract new customers that have similar characteristics.
Ranking to optimize for top portion of the customers
After you have setup filters to find a segment of customers, you can further refine the membership within the segment by ranking the customers based upon another metric. After you select the “Optimize the resulting segment” option, you can keep a certain number or percentage of the customers based upon a variety of metrics within a particular time period.
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.