# 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="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2FF9o6Yq9au5ojhO8C4FzR%2F2023-05-11_22-12-03.png?alt=media&#x26;token=db2167a9-2468-4329-9855-1ae25d077667" alt=""><figcaption></figcaption></figure>

Filters can overlap on an AND/OR condition

<figure><img src="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2F0AW2Z3dxpf6tEbmucZ6O%2F2023-05-11_22-19-07.png?alt=media&#x26;token=4c2bb1c1-1586-4f4a-b55d-0a8c847079d8" 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="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2Fhuglvf0NPlfzFk3j5UpG%2F2023-05-11_22-38-47.png?alt=media&#x26;token=ccf43c0b-c126-426b-b651-a55bf9f69bbf" 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="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2Fw42K8g0UWwNepIx4rHAz%2F2023-05-11_23-59-51.png?alt=media&#x26;token=a43fef86-b865-4377-bf7d-8bd05ba1e207" 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="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2FzbpsfglmNGhHYKIOhyoP%2F2023-05-11_23-03-03.png?alt=media&#x26;token=b5890db0-5cff-4437-a86f-d262b66eeeea" alt=""><figcaption></figcaption></figure>

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

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

<figure><img src="https://121681468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBfW4nnOu4AysbkbyxNug%2Fuploads%2FLcejs2Uj1SSkUkr9srOG%2F2023-05-11_23-19-07.png?alt=media&#x26;token=521ba148-e58c-4d74-b50a-d71828212a08" alt=""><figcaption></figcaption></figure>

[^1]:


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.boomerangme.cards/customers-crm/customer-filters.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.