Analyzing Customer Success Data

Context

Customer success teams rely on data to monitor account health, product adoption, renewals, and support activity. In SQL interviews, this question tests whether you can connect business questions to the right query patterns.

Question

What SQL tools and techniques would you use to analyze customer success data? In your answer, explain how you would approach common tasks such as:

1. summarizing customer activity,
2. identifying at-risk accounts,
3. tracking trends over time, and
4. preparing data for dashboards or stakeholder reporting.

Scope Guidance

The interviewer is not looking for a list of random functions. They want a structured explanation of the core SQL building blocks you would use, why they matter, and examples of how they apply to customer success metrics like logins, support tickets, renewals, and usage frequency. Keep the focus on practical SQL analysis rather than data engineering infrastructure or BI tools.