UXCam allows you to filter your data so you and your team can gain better insights, such as analyzing certain flows of your app, comparing different cohorts of users, and more. When you combine filters you have the option to save that set of filters as a Segment. All saved segments are visible per user (not per account).
Date range and Quick filter
» Use the calendar in the upper right corner to select any period you want to analyze.
» Use the quick filter to easily find sessions with video, crashes, or rage taps. You can also find sessions marked as favorite, or with any of your custom labels. Besides, you can focus only on the sessions that have or have not been watched.
Once you filter a session you can see the count of sessions that meet those conditions, the number of users, and other app metrics. By clicking on Session Analytics you can group those sessions and create graphs to break down your data. E.g. you can filter your sessions by crashes and group them by Date and Device class.
Custom labels
Use custom labels to bookmark a session by clicking on the default label 'favourite session' to categorize your sessions based on different issues or drop-off reasons, or to identify behavioral patterns in your users. You can later filter your sessions by label, or create user segments.
Select the session that you want to tag, click on 'create a new label' or add an existing one. These labels will be shared with all of the team members. Therefore, cross-team collaboration, sharing insights, and investigating bugs will be a breeze.
Segments and Advanced filters
Sessions can be filtered by many properties:
» Device properties, such as platform, device model or class, app version, OS version, etc.
» Session properties, length, gesture count, screen visited and the number of screens visited, among others.
» Time and UX Issues, including crashes and rage taps.
» User properties, such as session number (= count of visits), city, and name. Or even custom user properties that you send to UXCam, for instance, age, gender, language, subscription type, etc.
» Custom events that you trigger based on certain actions in your app, like add to the cart, complete purchase, or cancel the order. Read more about custom events here →
» Custom labels
You can use these properties to focus on some specific sessions, to analyze different flows or paths inside your app (e.g. onboarding flow), to search for active or engaged users (e.g. that visited your app more than 3 times and used it for over 5 min), or sessions where a certain action was completed (e.g. placed an order), among many more options.
All these filters can be combined to drill down your search, and you can use them to create segments by just clicking on Save as segment.
You can then find all your segments on the right side of your filters. We've created some default segments to help you find some sessions, but you can create as many segments as you want.
Note » You need to use at least the 3.3.0 version on Android and 3.2.4 on iOS to gather UI Freezes and crash logs.
Default Segments
Session Segments:
Crashed sessions: At least one crash occurred in the session
Video sessions: A video replay was captured along with the session
First sessions: All first sessions
Short sessions: The session duration is less than 10 seconds
Long sessions: The session duration is longer than 300 seconds
Offline sessions: Sessions that were recorded when the device was offline and uploaded once there was a connection
User Segments:
Active users: The number of users that used your app at least once within the last 7 days
Users: Number of distinct users that used the app at least once during the dates selected in the app
New users: First seen after a date selected in the app
Returning users: The individual user had more than one session within the date period selected
Loyal users: Visit count is greater than 20 and first seen 5 months ago AND in this month
Engaged users: Engagement time is greater than1800 seconds (30 minutes) and their visit count is greater than 10
Slipping away users: Engagement time is greater than 1800 seconds (30 minutes) and their visit count is greater than 10 but no sessions in the past week