Integrate Invoca with Fullstory
Invoca provides call tracking and analytics, allowing users to connect their phone calls and conversations to their larger sales and marketing journeys and use this information to drive revenue and delight their customers.
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 Invoca data to Amazon Redshift
Load your Invoca data to Google BigQuery
ETL all your Invoca data to Snowflake
Move your Invoca 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 Invoca With Fullstory Today
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Invoca's End Points
Report completed order information and other conversion events, allowing you to stay on top of changes that could be difficult to track, including phone conversions and revenue.
Integrate with the Invoca Marketing Automation platform to create, read, update, and delete your marketing and sales operations. This can help you understand campaign effectiveness and make actionable, positive changes.
Retrieve call transactions and correct existing transactions to stay on top of customer interactions.
Allocate a dynamic, trackable promo phone number from a RingPool. When people call, this returns a promo number and a formatted click-through URL. This can help you keep track of your efforts and credit your affiliates for calls.
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.