What Can I Use Filters For?
Customers Data
Customers Data
- Getting an exact count of customers that share the same criteria
- Applying tags to only a group of customers
- Extracting data of customers with specific criteria
- Manually adding achievements to some of your customers
- Manually rewarding some of your customers with a campaign
- Manually adding or deducting points from some of your customers
Campaign Data
Campaign Data
- Getting an exact count of campaigns that share the same criteria
- Extracting data on campaigns that share specific criteria
- Applying tags to only a group of campaigns
How to Apply Filters
On your Gameball Admin Dashboard, choose one of the following tabs according to your needs: Customers tab, Customers Log, or any Campaign section. Click on the Filter icon.
What Types of Filters Can Be Applied?
There are many filters that you can either apply singly or in combination.- Customers Tab
- Customers Log Tab
- Campaigns Tabs
| Filter | Description |
|---|---|
| Creation Date | Choose the date or timeframe when customers joined |
| Customer ID | Each customer will have a unique ID that you can use to search for a player |
| Customer Name | Search by name and see all customers that share the same name |
| Use this to search for specific players or view all customers that share the same email type | |
| Phone Number | Search by phone number |
| Total Amount Spent | Target customers who have spent specific amounts |
| Points | View customers with the same points or between a point segment |
| Pending Points | Filter based on customers’ pending points due to the return window |
| Status | Check your active or inactive customers |
| Tags | View customers that have the same tag |
| Customer Tier | Filter customers by their current tiers |
| Segments | Filter by segment |
| RFM Segments | Filter by RFM segment |
How to Sort Data
On the right of every filter bar, you will find a drop-down list. You will be able to choose how to re-order and view your data according to your priorities.
- Creation date by newest first
- Creation date by oldest first
- Total amount spent by highest first
- Total amount spent by lowest first
- Points by highest first
- Points by lowest first