The Fundamentals of Social Media Analytics Table of Contents
The Fundamentals of Social Media Analytics Table of Contents Introduction 3 Part 1: What is Social Media Analytics? 4 Social Media Analytics vs. Social Media Monitoring vs. Social Media Intelligence 6 Understanding Unsolicited Conversations 8 Social Media Engagement 9 Part 2: Dealing with Unstructured Data 10 Defining Unstructured Data 11 Machine-Automated NLP and Machine-Learning 13 Part 3: Deriving Insights from Social Metrics 18 Quantitative Analysis: The What 20 Qualitative Analysis: The Why 21 In Summary 24 2 Introduction Social media has completely transformed the way people interact with each other, but it’s had an equally significant (though more easily overlooked) impact on businesses as well. There are now billions of unsolicited posts directly from consumers that brands, agencies and other organizations can use to better understand their target customer, industry landscape or brand perception. In light of all this data, we come to a natural question: How can marketers, strategists, executives and analysts make sense of it all? What tools and resources are there out there to help? Crimson Hexagon has been analyzing social data since 2007, and we’ve learned a lot during that time about how to approach, understand, and leverage social media data. This guide aims to provide a framework for this discussion. Whether you’re a CMO, an analyst, or a Category Director, this guide will help you learn the fundamentals of social media analytics and how you can apply it to your organization to make smarter, more data-backed decisions. Part One: What is Social Media Analytics? Part One: What is Social Media Analytics? Social media platforms—such as Facebook, Twitter, Instagram, and Tumblr—are a public ‘worldwide forum for expression’, where billions of people connect and share their experiences, personal views, and opinions about everything from vacations to live events.
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