> For the complete documentation index, see [llms.txt](https://docs.boomerangme.cards/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.boomerangme.cards/customers-crm/customer-filters.md).

# Customer filters

> [**Boomerangme > Left-Hand Menu > Customers**](#user-content-fn-1)[^1]

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

<figure><img src="/files/HmricDi13iRn48BSf8VK" alt=""><figcaption></figcaption></figure>

Filters can overlap on an AND/OR condition

<figure><img src="/files/pqtGHAlnRIkH0ckRT17y" alt=""><figcaption></figcaption></figure>

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

<figure><img src="/files/c6BgOzNOQCByZWwq3fMU" alt=""><figcaption></figcaption></figure>

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.<br>

#### 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:**<br>

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

<figure><img src="/files/fVTo7HMUj8CW89wvbcE1" alt=""><figcaption></figcaption></figure>

#### "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

<figure><img src="/files/Hkb39PEfrUd811kRjI2C" alt=""><figcaption></figcaption></figure>

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

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

<figure><img src="/files/KbOZsmOZ89LdLrARvlaL" alt=""><figcaption></figcaption></figure>

[^1]: