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.
In this module, you'll discover how to measure what matters in your community. You will identify how to set meaningful benchmarks and goals, choose the right KPIs, configure tools from Meta, and turn your data into actionable insights.
涵盖的内容
14个视频7篇阅读材料7个作业
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14个视频•总计55分钟
Introduction to the program•3分钟
Course introduction: Data-Driven Community Management•2分钟
Introduction: Community analytics foundations•1分钟
Establishing performance benchmarks•5分钟
Setting SMART goals for communities•5分钟
Monitoring progress toward goals•3分钟
The role of analytics in community success•5分钟
Key metrics for community health•6分钟
Distinguishing KPIs from vanity metrics•4分钟
Getting started with Meta Business Suite and Insights•4分钟
Collecting and organizing community data•5分钟
Customizing dashboards for your goals•3分钟
Conclusion: Community analytics foundations•2分钟
A day in the life: Making sense of your community's numbers•6分钟
7篇阅读材料•总计40分钟
Course syllabus•5分钟
Setting benchmarks and goals for your community•5分钟
Summary reading: Community goal planning •5分钟
Community analytics 101•5分钟
Summary reading: Core analytics resources•5分钟
Building a dashboard in Meta Business Suite•10分钟
Summary reading: Analytics tools quick guide•5分钟
7个作业•总计205分钟
Graded quiz: Community analytics foundations•50分钟
Activity: Create benchmark targets and performance goals for your community•30分钟
Practice quiz: Benchmarking and goal setting•25分钟
Activity: Identify and list five KPIs for your chosen community•30分钟
Practice quiz: Understanding community metrics•15分钟
Activity: Set up a basic analytics dashboard for your community•30分钟
Practice quiz: Setting up analytics systems•25分钟
Data Analysis for Community Insights
第 2 单元•小时 后完成
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In this module, you'll analyze both quantitative and qualitative insights. You'll identify how to spot patterns in engagement, benchmark your community against competitors, and understand what the numbers are really telling you.
涵盖的内容
10个视频7篇阅读材料6个作业
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10个视频•总计34分钟
Introduction: Data analysis for community insights•1分钟
Recognizing engagement trends•3分钟
Long-term vs. short-term trends•3分钟
Visualizing data for storytelling•5分钟
Why competitor analysis matters•3分钟
Interpreting competitive insights•5分钟
Turning numbers into stories•4分钟
Making strategic recommendations•5分钟
Presenting insights to stakeholders•3分钟
Conclusion: Data Analysis for Community Insights•1分钟
7篇阅读材料•总计35分钟
Identifying trends in Meta Insights•5分钟
Summary reading: Trend visualization tips•5分钟
Gathering competitor data•5分钟
Conducting competitor research for communities•5分钟
Summary reading: Converting data to actionable insights•5分钟
6个作业•总计185分钟
Graded quiz: Data analysis for community insights•50分钟
Activity: Create a trend analysis report for your community•30分钟
Practice quiz: Trend identification and analysis•25分钟
Practice quiz: Competitor and industry analysis•25分钟
Activity: Develop a one-page insight summary for your community•30分钟
Practice quiz: Converting data to actionable insights•25分钟
Content Optimization and Feedback Integration
第 3 单元•小时 后完成
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In this module, you'll discover how to use analytics and member feedback to continuously improve your content and community strategy. You'll examine sentiment analysis, A/B testing, and how to interpret what your members are telling you, both directly and through their behavior.
涵盖的内容
11个视频6篇阅读材料6个作业
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11个视频•总计36分钟
Introduction: Content optimization and feedback integration•2分钟
Measuring content performance•5分钟
Identifying high-performing content•2分钟
Using data to refine your content strategy•3分钟
What is sentiment analysis?•3分钟
Integrating qualitative feedback•6分钟
Why feedback loops matter•3分钟
Creating internal feedback systems•5分钟
Refining strategy based on feedback•4分钟
Conclusion: Content optimization and feedback integration•2分钟
A day in the life: Turning community feedback into better decisions•3分钟
6篇阅读材料•总计30分钟
Content optimization frameworks•5分钟
Summary reading: Optimizing community content•5分钟
Conducting sentiment analysis tools from Meta•5分钟
Interpreting community sentiment•5分钟
Building feedback-driven communities•5分钟
Summary reading: Integrating feedback loops•5分钟
6个作业•总计185分钟
Graded quiz: Content optimization and feedback integration•50分钟
Activity: Analyze your community’s top five posts and identify improvement opportunities•30分钟
Practice quiz: Content optimization and feedback integration•25分钟
Practice quiz: Sentiment analysis and community feedback•25分钟
Activity: Design a feedback process for your community and organization•30分钟
Practice quiz: Integrating feedback loops•25分钟
AI-Powered Analytics and Personalization
第 4 单元•小时 后完成
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In this module, you'll discover how AI tools can take your community analytics to the next level. You'll explore predictive modeling to forecast engagement, leverage AI-driven insights to personalize the member experience, and evaluate the real impact of AI-assisted decisions.
涵盖的内容
9个视频4篇阅读材料8个作业
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9个视频•总计40分钟
Introduction: AI-powered analytics and personalization•2分钟
How AI supports community analytics•5分钟
Using AI for real-time monitoring•9分钟
Forecasting community engagement with AI•3分钟
Designing proactive engagement plans•4分钟
Understanding AI-based personalization•4分钟
Implementing personalized content strategies•6分钟
Evaluating the impact and ethics of personalization•5分钟
Course conclusion: Data-Driven Community Management•2分钟
4篇阅读材料•总计20分钟
Leveraging AI for analytics efficiency•5分钟
Forecasting playbook: Practical engagement and growth steps•5分钟
Ethics of personalization•5分钟
Personalization best practices for community managers•5分钟
8个作业•总计455分钟
Graded quiz: AI-powered analytics and personalization•50分钟
Course exam: Data-driven community management•150分钟
Activity: Use AI for community analytics•30分钟
Practice quiz: AI-enhanced community analytics•25分钟
Activity: Create a simple engagement forecast using provided historical data•30分钟
Practice quiz: Predictive engagement strategies•25分钟
Practice quiz: Personalization through AI•25分钟
Course project: Community analytics dashboard and strategy•120分钟
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