Social Media Analytics Falling Flat?

Learn how to gain better business value from your efforts

By submitting your email address, you agree to receive emails regarding relevant topic offers from TechTarget and its partners. You can withdraw your consent at any time. Contact TechTarget at 275 Grove Street, Newton, MA.

You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.

The rapid streaming and unstructured nature of social data makes integrating it into analytics systems a big headache. Social media data can pose technical challenges some businesses may not be ready to handle. But there is business value hidden within this data. In this three-part guide, examine why social media analytics are falling short and get strategies on how to better leverage information gathered from your social media efforts.

In this guide learn:

Examples of the statistical data that can be collected from social networks

Understanding the behavior of specific individuals within a social network

Running a sentiment analysis

Get expert opinions now

A common problem with social media analytics is how to score posts that may include sarcasm, irony or other counterintuitive forms of language. Learn about the common problems to look out for when you’re running a sentiment analysis on your data.