We provide an extensive filtering ability for all features in Mouseflow, Heatmaps, Recordings, Funnels, Forms Analytics, and Feedback.

Each feature can filter the audience in the feature by a number of variables. In each feature, you can click the "Add filters" button at the top to segment the audience down to help drive decisions.

In the below example, we're on the Heatmaps page, where you can see the filter list by clicking "Add Filters"

Below is a full list of Mouseflows built-in filter options:

Entry Page

Filter your data by the first page the user landed on for your website or app.

Page(s) Visited

Filter your data by if a visitor viewed a certain URL.

Exit Page

Filter your data by the last page the user visited before leaving your website or app

Tags and Variables


Filter your data by tag, either built-in or custom


Filter your data by variable, either built-in or custom

Visitor Technology


Filter your data by device types such as Desktop, Mobile, or Tablet

Operating System

Filter your data by the operating system the user used to view your website or app.


Filter your data by the user's browser such as Chrome, Firefox, Safari, Internet Explorer, Microsoft Edge, Opera or Android

Screen Resolution

Filter your data by the screen resolution of the user


Friction Score

Filter your data by users who had the average friction score of Happy, Unhappy, or Very Unhappy

Friction Event

Filter by a specific Friction Event, you can read more about Friction events here

Recording Data


Filter by the duration of the user's session

Number of Pageviews

Filter by the number of pageviews the user had during their session

Visitor Data


Filter Data by the country reported by the Users location

Traffic Source

You can filter your user sources by Search Engines, Links from websites, no referrer, Social Media or Emails

Visitor Type

Filter users by New vs Returning users

Recordings are


Filter Data by if the recordings have been starred by you or your team members


Filter Data by if the recordings have been watched by you or your team members

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