Data-Driven Community Management
By External Provider
About this course
This course introduces data-driven community management, teaching you how to measure community performance, interpret insights, and make informed decisions that improve engagement and alignment with organizational goals. It breaks down analytics into practical, approachable concepts, showing how metrics, benchmarks, and trends reveal what’s working and where to adjust. You’ll learn how to track engagement, growth, retention, and sentiment using native Meta tools. You'll then translate data into clear reports, and connect insights to content, moderation, and strategy decisions. The course also introduces AI-supported analytics, including personalization and forecasting, to help you work more efficiently while maintaining human judgment. By the end of the course, you’ll be equipped to confidently use data to guide community strategy and demonstrate community impact.
What you will learn
- Track and interpret community metrics to evaluate engagement, growth, and retention
- Use benchmarks, KPIs, and trends to inform community strategy and decisions
- Analyze content performance and member feedback to optimize engagement approaches
- Apply AI-supported analytics to personalize experiences and forecast community performance