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    How can I filter unidentified users while analyzing events?
    • 28 Jul 2025
    • 4 Minutes To Read
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    How can I filter unidentified users while analyzing events?

    • Updated On 28 Jul 2025
    • 4 Minutes To Read
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    Article summary

    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

    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 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 rather than an actual User ID.

      insights_new_user_type_filter.png

    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 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

    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

    • 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

    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

    Steps to filter unidentified users

    The following data contains unidentified or anonymous users:
    insight_data_with_unidentiied_users.png

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

    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, click Insights.
      ia_left%20nav_insights

    2. Click Create insights.
      create_insights

    3. Click Trend Insights.
      trend_insights

    1. Click the Give your insight a name textbox to enter a name for your Insight.
      trend_give_your_insight_a_name.png

    2. Click the Description text box and enter a description that explains what the Trend Insight is about.
      trend_enter_a_description.png

    3. From the Select user type dropdown, select the Identified users option.
      trend_insight_select_anonymous_users.png

    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
    Note:
    • For more information on how to get analytics data from different stages, see 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

    2. Under Event metrics, select Total events or Unique users as required.
      trends_select_event_metrics.png

    3. Click Add event and then add the required Guidance events, App events, or Event groups.
      trends_insights_click_add_event.png

    4. Add the required Filter or Breakdown for the event.
      trend_insights_add_filter_breakdown_for_unidentified_users.png

    Info:

    For more information on Event Filters and Breakdown, see Filter events using Event Filters and Breakdown in Trend insights.

    1. In the User filter section, click Add user filter, and then select the desired filter to filter events based on user properties such as city, country, or browser.
      trends_session_analytics_user_filter

    2. In the User breakdown section, click Add user breakdown, and then select the desired breakdown to group events based on user properties such as city, country, or browser.
      trend_insights_click_add_user_breakdown.png

    3. Scroll down to view the generated data chart without anonymous or unidentified users.
      insights_data_with_identified_users.png

    Note:

    • Visualize the data using chart types.
      trend_insights_click_chart_type.png

    • Filter data based on Daily, Weekly, and Monthly timeframes.
      date_week_month.png

    1. Click Save.
      trends_click_save_option.png
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