Securely integrate Intercom with Delighted
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.
Delighted is a service that employs single question surveys to provide businesses with real-time customer feedback. Each survey question can have a rating scale for customers to select from as well as a section where customers have the option to leave a free-form comment. This provides both a numerical score - that can be collected to create a Net Promoter Score (NPS) - and useful customer feedback that Delighted can filter and search to retrieve the most useful responses for a given purpose.
Popular Use Cases
Bring all your Intercom data to Amazon Redshift
Load your Intercom data to Google BigQuery
ETL all your Intercom data to Snowflake
Move your Intercom data to MySQL
Bring all your Delighted data to Amazon Redshift
Load your Delighted data to Google BigQuery
ETL all your Delighted data to Snowflake
Move your Delighted data to MySQL
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Intercom's End Points
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.
Delighted's End Points
Create a survey recipient, including their customer ID, email address and phone number. Then, you can customize your survey delays based on your customers’ needs and preferences, specifying how you want the surveys sent - via SMS or email - and how frequently you want them sent.
Delighted Survey Responses
Retrieve data from customer responses, including the score they selected, any comments they left in response to the survey and the person ID for the customer (which allows you to continue to track their responses). Additionally, use this data to create and update your Net Promoter Score, which can help provide customer analytics both within Delighted and in other data sources via integration.
View important metrics for your account like your NPS and the percentage of your respondents that identified as promoters, passives, or detractors. This provides a broader view of your survey performance that can help you determine your overall business performance.
When someone unsubscribes, you can maintain their previous survey response data and view their old emails. When integrated with other user data, this information can provide key business insights. It can also be used to run an array of business analyses, including predictive analytics.