Integrate Intercom to Google BigQuery
Intercom is a powerful set of tools for better managing your company’s customer support system. It includes a help center with a feedback system, which you can use to focus future articles on the growing needs of your customers, and it also provides a robust conversation system that allows you to assign support teams to customers based on specific criteria (about the customer or discussion topic), rather than just based on availability. Intercom is designed to create a more effective customer support network by specifically tracking and targeting your customers’ needs.
Integrate Intercom to Google BigQuery
Popular Use Cases
Xplenty can extract any data that you need from Intercom. Here are some of our most popular use cases:
Track the content of conversations and who is involved in them. This can be used to generate data about which topics customers are most concerned with so that you can further focus your support efforts accordingly.
Sort specific groups of users and companies that you are communicating with by creating an easily searchable tag that permeates all of your intercom databases, and you can use that tag to integrate other data about those groups throughout intercom.
Collect valuable customer data for your CRM, including basic contact info such as name, email address, and phone number but also more specific data, such as when they signed up, last signed in, and the tags associated with them.
Track the progress of your business relationship with companies (including a list of their users). Use that data to monitor how well your support network is meeting a company’s needs and how much of your overall revenue comes from each of the companies that are interacting with your business via intercom.
Automatically categorize users based on set criteria. Then Intercom can assign support teams based on that criteria, which allows you to more easily match customers with the support team members that can best assist them.
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Transforming data from Google BigQuery can be a daunting task. Xplenty makes it super easy to use and understand - see how.
VP Data and Analytics, Panda Pepper
We are using Xplenty to move data from BigQuery, Firebase and Appsflyer to our SQL Server data warehouse, to allow our customers make knowledgeable decision regarding their mobile product. By working with Xplenty, we don't need to worry about the integrations - we merely build the ETL packages, and their are doing all the heavy lifting. Xplenty have a 24/7 support, and we are very satisfied with their product and support.
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Xplenty and Google BigQuery
With Xplenty, users can transform and load data from any data store directly into BigQuery. That means more accurate data, comprehensive analytics and helpful business insights.