Where can I use filters in my Loyalty program?
Your loyalty program will consist of members who have been enrolled in the program. To target a specific behavior, or create subsets of the audience you can use filters.
What are the options available?
Filters are divided into four parts:
Each of the parts consists of parameters point to the related member details.
Basic details: It mainly covers the member profile data as when enrollment took place, which tier the member is on, etc.
For example: You want to add a tag " holiday" to members who enrolled with you between December 23- December 25, 2020. In that case, you can select a date range and apply the changes. And further, add a tag in bulk.
Point Details: The entire program runs on points, hence these details are very crucial. You can identify certain behavior using these filters.
For example: You want to segregate members who have 500 available points to understand how many members are actually eligible for a certain reward and further analyze the redemption rate too.
Purchase details: You can use the purchase information to create subsets of members who have a certain pattern.
For example: You want to know the members who purchase heavily between the holiday season. Now you can target those members to provide them with additional offers.
Referral Points: This is purely to identify the impact of the referral activity
For example: You can filter based on how many referral shares actually took place and how many purchases followed with it.
Can I perform nested filtering?
Yes, you can mix and match the parameters and created your own nested filter to reach your targetted set of audiences.