Integrate Hunter with Fullstory
Hunter is an enrichment tool that allows users to find and verify the email of any professional or business in just a few clicks. This prevents common issues like incomplete data or duplicate customer information, allowing users to grow their contact lists and send targeted, effective business communications.
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 Hunter data to Amazon Redshift
Load your Hunter data to Google BigQuery
ETL all your Hunter data to Snowflake
Move your Hunter 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 Hunter With Fullstory Today
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Hunter's End Points
Save your leads in Hunter’s Chrome extension and see them instantly saved in your other tools, including Salesforce, HubSpot, Zapier, and Pipedrive.
Domain Search is one of the most powerful email-finding tools available today. With just a few clicks, use the search to get the names and email addresses of every person working within an organization.
Email (Finder, Verifier, Count)
Find and verify email addresses one by one or in bulk to lower your bounce rate and effectively enrich your database.
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.