---
title: 🔎Customer filters
slug: customer-filters
description: Explore powerful customer filtration options for Loyalty Digital Cards! Filter by parameters like card balance, device type, and more. Boost your marketing strategy today! 🚀💳
docTags: 
createdAt: 2023-07-27T13:46:46.278Z
---

# Overview of the customer base filtration options

**Locate Left-Hand Menu > Customers**

Customer filtration by parameters and filter groups have been added to the customer base

1. Filters include the following parameters:

- Card balance
- Device type
- Card serial number
- Card status
- UTM-tag
- Current number of uses
- Registration date
- Email
- Gender
- Name
- Phone
- Unused rewards
- Number of stamps
- Customer birthday

Filters can overlap on an AND/OR condition



Filter can include:    &#x20;

- &#x20;     comparison to a specific value (string, number, etc.): equal, not equal, more, less, etc.  &#x20;
- &#x20;     entering a range of values: e.g. date from - date to&#x20;
- &#x20;     entering an array of values: equal to one from the list



For example, the "Card balance" filter

&#x20;    2\. Filter Groups are ready-to-use presets based on filters. Each filter in a group can be     .        applied individually or combined

There are currently 3 groups of filters, but they will be added quickly.

**The first filter group “RFM - segments” is a method of analysis that allows you to segment customers based on two variables - duration and frequency of visits.&#x20;**

The following visit periods are included in the analysis:

**0 to 30 days:**

Number of visits from 0 to 3: RFM - Beginners

Number of visits from 4 to 7: RFM - Growths

Number of visits from 8 to 12: RFM - Champions



**31 to 60 days:**

Number of visits 0 to 3: RFM - Doubtful

Number of visits from 4 to 7: RFM - Medium (borderline)

Number of visits from 8 to 12: RFM - Loyal - Regular



**61 to 90 days:**

Number of visits 0 to 3: RFM - Sleeping

Number of visits from 4 to 7: RFM - At risk

Number of visits from 8 to 12: RFM - Needs attention

**"Health" group contains filters that can be used to sort clients with missing data/not installed cards:**

- Card status not installed
- Unknown gender
- Empty birthday

**The "Loyalty" filter group includes filters:**

- Card status installed
- Apple Wallet
- Wallet Passes
- Google Pay
- PWA





