Integrate Fullstory with Appsee
Fullstory helps companies record and analyze their customer communications by recording user sessions, providing detailed step-by-step logs of everything customers did during their sessions and storing that information for later retrieval and analysis. Fullstory can then be searched for specific events, including link usage, rage clicks or dead clicks. In addition to data on individual sessions, Fullstory can also retrieve analytics on aggregate customer behavior, showing the most clicked items, the most rage clicked areas, the most navigated to sites, etc.
Appsee enables mobile app publishers and developers to track, understand and improve the user experience in their apps, and act on insights delivered by our SaaS platform.
Popular Use Cases
Bring all your Fullstory data to Amazon Redshift
Load your Fullstory data to Google BigQuery
ETL all your Fullstory data to Snowflake
Move your Fullstory data to MySQL
Bring all your Appsee data to Amazon Redshift
Load your Appsee data to Google BigQuery
ETL all your Appsee data to Snowflake
Move your Appsee data to MySQL
Integrate Fullstory With Appsee Today
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Fullstory's End Points
Provide a user ID and/or email address to get a list of every session associated with a specific user up to the defined limit. Entries in that list include the user ID and email address, the time the session occurred, and the Fullstory session URL, all of which can be used to access the data from that session if desired.
Retrieve a list of 20 available data bundles from a specific timestamp onward. Then, export the most valuable data bundles from that list so that they can be integrated with other relevant data sources to give you a deeper overall view of your customer’s experience.
Appsee's End Points
Track a variety of data related to events that happened during user sessions, such as the number of total events in a given period, the properties associated with those events and the number of occurrences of a specific property. This endpoint can also be used to signal when an event occurrence might warrant further examination of the video recording to see when and why it occurred.
Monitor how users interact with your screens, including how many times a screen was accessed, what types of gestures were used, and what screen was accessed next. This can give you a broader view of how your users interact with your app. Use this information to gauge the effectiveness of your screen designs and know which features are being used more or less frequently.
Get analytics data for your app, including the number of users that accessed it and the number of sessions that occurred. This data can be filtered by a set of parameters, including country, date, OS, device, and session duration.
Request data about a user’s session, which can be filtered by things like user ID, included events, device type and screen. Appsee will return any pertinent data and include information like the video URL, crashes that occurred and any other events that occurred during the session.
Retrieve data about your conversion Appsee funnels and sort it by parameters, including date range, app version, device and platform. Then, Appsee will return a list of steps in the funnel, along with how many users accessed that step and what their completion percentage was.