
In Customer Success, data isn’t just something you collect - it's what powers every smart decision you make. This hands-on course shows you how to turn customer data into meaningful, actionable insights that directly improve retention, expansion, and customer satisfaction.
You’ll go step-by-step through defining the right metrics, building effective dashboards, using AI tools for analytics, and translating insights into proactive playbooks your team can actually use.
Whether you’re a Customer Success Manager, Team Lead, or Analyst, you’ll walk away knowing exactly how to measure what matters, visualise it clearly, and act with confidence.
This course perfectly complements 'AI for Customer Success' - while that course teaches you how to build intelligent workflows, this one teaches you how to understand and act on the data those workflows generate.
In this course, you’ll learn how to:
Identify and track the most important Customer Success metrics
Build customer health scores that predict churn and growth
Design powerful dashboards that tell a story and inspire action
Use AI tools to analyse feedback and forecast customer behaviour
Translate analytics into proactive, data-driven playbooks
Communicate insights that influence leadership and strategy
Hands-on projects and tools include:
Creating a customer health score model in Google Sheets or Excel
Designing an interactive CS dashboard layout
Using AI (e.g., ChatGPT, Gainsight PX, ChurnZero AI) for insight generation
Building data-to-action playbooks that drive retention and upsell/expansion
By the end of this course, you’ll be able to:
1. Turn raw customer data into clear, actionable insights
2. Predict churn and identify opportunities using AI-driven analytics
3. Communicate data stories that drive executive buy-in
4. Build a complete Customer Success Analytics dashboard and action plan