Social Media Analytics.pptx

Social Media

1. Social Media Analytics

2. LESSON OBJECTIVES Composition of the seven layers of Social Media Analytics Origin and history of Social Media Analytics Common goals, KPIs and use cases for Social Media Analytics Descriptive, predictive and prescriptive analytics for social media Differences between Business Analytics and Social Media Analytics Challenges to the efficient use of Social Media Analytics

3. What is it??.... Social Media Analytics is the art and science of extracting valuable insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision-making

4. Seven layers of Social Media Analytics 1. Text 2. Networks 3. Actions 4. Hyperlinks 5. Mobile 6. Location 7. Search engines

5. Layer 1 : Text Analytics

6. Layer 2. Networks Analytics

7. Layer 3. Actions Analytics

8. Layer 4. Hyperlinks Analytics

9. Layer 5. Mobile Analytics

10. Layer 6. Location Analytics

11. Layer 7. Search Engines Analytics

12. Emergence of Social Media Analytics

13. Some Popular Reasons for Using Social Media Analytics Measure brand loyalty Generate business leads Drive traffic to owned media (Facebook pages, corporate blogs, company webpages, organizational microsites, specific mobile applications, etc.) Predictive business forecasting Demographics and psychographics around specific audiences and topics Business intelligence and market research Business decision-making

14. Goals of Social Media Analytics

15. Social Media Analytics KPIs

16. Social Media vs. Traditional Business Analytics

17. Types of Social Media Analytics 1. Descriptive analytics 2. Predictive analytics 3. Prescriptive analytics

18. Social Media Analytics Cycle

19. Challenges to Social Media Analytics Data Volume and Velocity Data Diversity Unstructured Data

20. Social Media Analytics Tools