---
title: "How can I filter unidentified users while analyzing events?"
slug: "how-can-i-filter-unidentified-users-in-product-analytics"
tags: ["filter cookie values", "remove cookies"]
updated: 2026-08-07T19:51:43Z
published: 2026-08-07T19:51:43Z
canonical: "support.whatfix.com/how-can-i-filter-unidentified-users-in-product-analytics"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://support.whatfix.com/llms.txt
> Use this file to discover all available pages before exploring further.

# How can I filter unidentified users while analyzing events?

Whatfix enables you to filter both identified and anonymous (unidentified) users in Product Analytics using the User type filter and determine the Event identification rate.

![insights_new_user_type_filter.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/insights_new_user_type_filter.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

Filtering based on user type (identified and anonymous users) enables you to get accurate data. The event identification rate (% of events attributed to unique users) shows how many events can be tied back to known users.

Expand the following accordions for more details:

**Overview of the User type filter and Event identification rate**

**User type filter**

[User Identification](/product-analytics/docs/identify-unique-users-in-whatfix-analytics) enables Whatfix to identify unique users interacting with Whatfix content or your application. This helps you get user-level analytics data. User-level engagement data contains both users identified with a User ID and Anonymized Whatfix IDs.

Whatfix enables you to filter users based on the following filters:

- **All users**: Shows overall behavior and engagement for both identified and anonymous (unidentified) users.
- **Identified users**: Users that Whatfix can detect and identify using a unique User ID.
- **Anonymous or unidentified users**: Users that Whatfix cannot identify. These users are denoted by the [Anonymized Whatfix IDs](/product-analytics/docs/how-does-whatfix-identify-users-on-the-application) rather than an actual User ID.

![insights_new_user_type_filter.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/insights_new_user_type_filter.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!WARNING]
> Note:
> 
> - Anonymized Whatfix IDs might appear in Product Analytics data due to one of the following reasons:
>   - If the user logs in and logs out of the application before Whatfix can identify the user with the configured User ID.
>   - If the user accesses a page where the window variable that enables Whatfix to capture the User ID is not available.
>   - If the [user identification](/product-analytics/docs/identify-unique-users-in-whatfix-analytics) is not set up correctly.
>   - If Anonymized Whatfix IDs are included as part of your analytics data due to any of the reasons mentioned above, it might result in incorrect engagement data.
> - The **Select user type** filter is only available for Trend Insights, Funnel Insights, and User Journey.

---

**Event identification rate**

The Event identification rate denotes the percentage of events that Whatfix can tie back to uniquely identified users for the last 30 days.

![event_identification_rate.drawio.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/event_identification_rate.drawio.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

**Use cases**

The following are some sample use cases where unidentified users are filtered or removed from the analytics data:

- Analyze the number of identified users who visited the application using Trend Insights. **Guidance event**: Page View **User type filter**: Identified users ![trend_insight_identified_users_page_view_example.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insight_identified_users_page_view_example.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
- Analyze the drop-off rate of identified users using Funnel Insights. **Funnel steps**: The required Custom events **User type filter**: Identified users ![funnel_insight_identified_user_user_action_example.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/funnel_insight_identified_user_user_action_example.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!WARNING]
> Note:
> 
> If there are no user identifiers available in the application (an application without any login functionality), and Whatfix cannot identify the user, select the **Anonymous users** option to view the engagement data of users. ![trend_insight_select_anonymous_user.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insight_select_anonymous_user.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

**Steps to filter unidentified users**

The following data contains unidentified or anonymous users: ![trends_data_with_cookie_values.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_data_with_cookie_values.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

Use the following steps to filter unidentified or anonymous users while analyzing events in Trend Insights:

> [!WARNING]
> Note:
> 
> The following steps show how to filter unidentified or anonymous users in Trend Insights. The process is similar for Funnel Insights and User Journey.

1. On the [Whatfix Analytics dashboard](/product-analytics/docs/how-can-i-access-the-product-analytics-dashboard), click **Insights**. ![pa_click_insights_left_pane.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/pa_click_insights_left_pane.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
2. Click **Create Insight**. ![pa_click_create_insight.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/pa_click_create_insight.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
3. Click **Trend Insights**. ![pa_click_trend_insights.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/pa_click_trend_insights.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

1. Click the **Give your insight a name** textbox to enter a name for your Insight. ![trend_give_your_insight_a_name.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_give_your_insight_a_name.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
2. Click the **Description** text box and enter a description that explains what the Trend Insight is about. ![trend_enter_a_description.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_enter_a_description.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
3. From the **Select user type** dropdown, select the **Identified users** option. ![trend_insight_select_anonymous_users.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insight_select_anonymous_users.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!WARNING]
> Note:
> 
> - By default, the **All users** option is selected.
> - Select the **Anonymous users** option to include data for anonymous or unidentified users.

1. Click the **Data source** icon and select the stage from which you want to get the data. ![trend_insight_data_source_option.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insight_data_source_option.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!WARNING]
> Note:
> 
> - For more information on how to get analytics data from different stages, see [Get Analytics Data across CLM Stages](/product-analytics/docs/get-analytics-data-across-clm-stages)
> - You cannot change the stage after you've created the insight. Switching to a different stage will reset your insight, causing you to start over.

1. Click **Choose metric**. ![trends_choose_metric](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_choose_metric.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
2. Under **Event metrics**, select Total events or Unique users as required. ![trends_select_event_metrics.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_select_event_metrics.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
3. Click **Add event** and then add the required Guidance events, App events, or Event groups. ![trends_insights_click_add_event.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_insights_click_add_event.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
4. Add the required **Filter** or **Breakdown** for the event. ![trend_insights_add_filter_breakdown_for_unidentified_users.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insights_add_filter_breakdown_for_unidentified_users.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!NOTE]
> Info:
> 
> For more information on Event Filters and Breakdown, see [Filter events using Event Filters and Breakdown in Trend insights](/product-analytics/docs/event-filters-and-breakdown-in-trend-insights).

1. In the **User filter** section, click **Add user filter**, and then select the desired [filter](/product-analytics/docs/user-filters-in-insights) to filter events based on user properties such as city, country, or browser. ![trends_session_analytics_user_filter](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_session_analytics_user_filter.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
2. In the **User breakdown** section, click **Add user breakdown**, and then select the desired [breakdown](/product-analytics/docs/user-filters-in-insights) to group events based on user properties such as city, country, or browser. ![trend_insights_click_add_user_breakdown.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insights_click_add_user_breakdown.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
3. Scroll down to view the generated data chart without anonymous or unidentified users. ![trends_data_without_cookie_values.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_data_without_cookie_values.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

> [!WARNING]
> Note:
> 
> - Visualize the data using chart types. ![trend_insights_click_chart_type.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trend_insights_click_chart_type.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)
> - Filter data based on **Daily**, **Weekly**, and **Monthly** timeframes. ![date_week_month.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/date_week_month.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

1. Click **Save**. ![trends_click_save_option.png](https://cdn.document360.io/a268766e-d74d-4619-9613-e2472f809ffb/Images/Documentation/trends_click_save_option.png?sv=2026-02-06&spr=https&st=2026-11-10T16%3A19%3A22Z&se=2026-11-10T17%3A19%3A22Z&sr=c&sp=r&sig=67gC5%2FXlIA4m65%2FhbvtJla7o8iUack5dMsbnNV%2BGbGQ%3D)

Whatfix generates a unique identifier called the Anonymized Whatfix ID when the user logs in for the first time. The ID is randomly generated and consists of a 16 character alphanumeric string, for example, 6idAi0oqW4sIPPFf. The Anonymized Whatfix ID enables anonymous tracking before the user is identified with a configured User ID.

The total number of times the event occurred.

The number of unique users who triggered the event.

Guidance events include all events triggered when end users interact with Whatfix content or widgets within the application.

App events include engagement with User Actions, Autocaptured events (Beta), or events captured using the Whatfix API.

An Event group combines two or more individual events into a single grouped-event. It enables you to see the total number of users who performed any of the events in the group.