In Intercom, agents should tag conversations with topics (e.g., #billing-error , #export-slow ). In Qlik, count conversations by tag per customer. Then overlay that with your churn dataset.
The problem? Intercom is built for action, not for . You can see the last ten conversations, but you can’t easily answer: "Which three features generate the most support tickets?" or "How does response time correlate with trial conversion?" intercom to qlik
Open Qlik’s Data Manager, configure the REST connector with your Intercom API token, and pull https://api.intercom.io/conversations . Your first insight is five clicks away. Have you connected Intercom to Qlik? What metric surprised you most? Share your experience in the comments below. In Intercom, agents should tag conversations with topics (e
Avg(Churn_Rate) by Tag If #export-slow has a 40% churn rate and #forgot-password has 5%, you know where to send the product team. The problem
In Intercom, agents should tag conversations with topics (e.g., #billing-error , #export-slow ). In Qlik, count conversations by tag per customer. Then overlay that with your churn dataset.
The problem? Intercom is built for action, not for . You can see the last ten conversations, but you can’t easily answer: "Which three features generate the most support tickets?" or "How does response time correlate with trial conversion?"
Open Qlik’s Data Manager, configure the REST connector with your Intercom API token, and pull https://api.intercom.io/conversations . Your first insight is five clicks away. Have you connected Intercom to Qlik? What metric surprised you most? Share your experience in the comments below.
Avg(Churn_Rate) by Tag If #export-slow has a 40% churn rate and #forgot-password has 5%, you know where to send the product team.