Integrate Pinterest with Fullstory
Pinterest is a visual discovery engine that allows people to discover information using images, GIFs, and videos. Users can create collections of images, called boards, and save their favorite images for later. Alternatively, businesses can use the platform to share their products and services, spreading awareness and reaching new audiences.
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 Pinterest data to Amazon Redshift
Load your Pinterest data to Google BigQuery
ETL all your Pinterest data to Snowflake
Move your Pinterest 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 Pinterest With Fullstory Today
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Pinterest's End Points
You can create, delete, and edit boards for authenticated users. Also fetch boards and Pins on a board and use this information to improve your efforts.
Use the API to create, edit and delete Pins for authenticated users. You can also fetch Pins, boards and the Pins on a board for any user. This will help you understand user preference, UX, and more.
With the Pinterest API, you can get a lot of user information, including profile info, boards, suggested boards, and following relationships. Use this data to better understand users and send more targeted, accurate communication.
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.