Integrate Wrike with Fullstory
Wrike is a cloud-based collaboration and project management software that scales across teams in any business. It allows companies to gain visibility, simplify their planning and streamline their workflow, giving them a better chance at long-term success, clarity, and insights.
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.
Popular Use Cases
Bring all your Wrike data to Amazon Redshift
Load your Wrike data to Google BigQuery
ETL all your Wrike data to Snowflake
Move your Wrike data to MySQL
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
Integrate Wrike With Fullstory Today
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Wrike's End Points
For account-specific insights, you can also search among all tasks in one account. This can help focus your search and quickly understand the strengths and weaknesses of each of your accounts.
If you need an important piece of company-wide information, you can search among all tasks in all accounts. This function can help you extract big-picture project insights with just a few clicks, allowing you to prepare your data for analytics.
Search among tasks in a specific folder for highly targeted data and insights. Then, combine this information with data from other business-critical data sources to understand it more comprehensively.
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.