Integrate Google Analytics with Wootric
About Google Analytics
Google Analytics provides the tools necessary to extract and track a wide range of informational data acquired from web traffic, including place and time of access, duration of the visit and more. In addition, it can easily be integrated into other Google data services - like Adwords - to further increase the value of those services.
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.
Popular Use Cases
Bring all your Google Analytics data to Amazon Redshift
Load your Google Analytics data to Google BigQuery
ETL all your Google Analytics data to Snowflake
Move your Google Analytics data to MySQL
Bring all your Wootric data to Amazon Redshift
Load your Wootric data to Google BigQuery
ETL all your Wootric data to Snowflake
Move your Wootric data to MySQL
Integrate Google Analytics With Wootric Today
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Google Analytics's End Points
Manage one or more accounts that contain data from one or several web properties. Since your account ID is tied to your properties, you can easily use this data to track web traffic throughout your company’s web ventures.
Track traffic data for any of the websites or applications tied to your account. Using a property ID, gather data and link it to your account to accurately evaluate the success of these properties.
Define the link between your Adwords ads and an Analytics web property. This will allow you to easily track and evaluate valuable ad data through Google Analytics.
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with your company (such as what plan or product they use) and the date they were last surveyed - to gauge how out-of-date your data about each user may be.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.