Ask Us Anything #7 Recap - Churn Analysis in Usage Intelligence

Ask Us Anything #7 Recap - Churn Analysis in Usage Intelligence

We discuss a powerful and popular reporting suite Churn Analytics., including a walk-through of the three main reports.

About this course

August 8, 2019 - In the seventh installment of our "Ask us Anything" sessions Dan Barrett and Jeremy McGuire discussed one of the more powerful and popular reporting suites in Usage Intelligence, Churn Analytics. The session included some use cases and questions from customers as well as a walk-through of the three main reports:

  • Churned User Profile
  • Churned User Activity
  • User Engagement and Churn Rates of New Installations

Curriculum

  • Introduction
  • Churn Analysis Definition in Usage Intelligence
  • Churned User Profile Report
  • Churned User Activity Report
  • User Engagement and Churn Rates of New Installations Report
  • Q&A
  • Question #1: How is Date Last Seen related to churn?
  • Question #2: What is the best starting point for analyzing churn?
  • Question #3: What happens if a churned user returns?
  • Question #4: How does changing the days declared lost threshold impact lost user counts?
  • Question #5: How can I tell if something in the Churned User Profile report is a true cause of churn?

About this course

August 8, 2019 - In the seventh installment of our "Ask us Anything" sessions Dan Barrett and Jeremy McGuire discussed one of the more powerful and popular reporting suites in Usage Intelligence, Churn Analytics. The session included some use cases and questions from customers as well as a walk-through of the three main reports:

  • Churned User Profile
  • Churned User Activity
  • User Engagement and Churn Rates of New Installations

Curriculum

  • Introduction
  • Churn Analysis Definition in Usage Intelligence
  • Churned User Profile Report
  • Churned User Activity Report
  • User Engagement and Churn Rates of New Installations Report
  • Q&A
  • Question #1: How is Date Last Seen related to churn?
  • Question #2: What is the best starting point for analyzing churn?
  • Question #3: What happens if a churned user returns?
  • Question #4: How does changing the days declared lost threshold impact lost user counts?
  • Question #5: How can I tell if something in the Churned User Profile report is a true cause of churn?