Integrate Fullstory with Wootric
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.
Wootric is a service that can create customers surveys and turn their responses into a measurable metric of customer happiness called a Net Promoter Score (NPS). Wootric’s surveys are designed to get the most responses possible by being both simpler and less aggressive than traditional surveys. The data gathered from these surveys can be used to rate and segment customers as well as offer analytics about your customer base at large.
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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.
Wootric's End Points
Track the data associated with your survey responses. This allows Wootric to both provide you with analytic data about your NPS and integrate that data with your CRM.
Interact with data about your end users - including their contact information, their relationship with your company (such as what plan or product they use) and the date they were last surveyed - to gauge how out-of-date your data about each user may be. Then, use this information to decide if/when they should be surveyed again.
Monitor which surveys were declined and by whom. This data includes the ID of the respondent, the survey ID and the time at which it was declined. You can then identify which surveys were unsuccessful and which customers are unlikely to respond to surveys. This can help to accurately segment your customers and better gauge where they are in their lifecycle with your company.