Social media analytics terms

Social media analytics refers to the ability of a business to use data from social media and combine it with other sources of information, such as business intelligence tools. Get more followers and grow your audience with SocialGreg.

The scope of social media analytics is broader than channel-specific data like likes, following, retweets, and other engagement metrics. It also differs from reports that sites like LinkedIn or Google Analytics provide in order to help marketing campaigns.

In this article, we will discover the meaning of the various terms and metrics used to measure social media analytics. Let learn about social media analytics terms. 

How significant are social media analytics?

Businesses can leverage social media data to improve their customer service and solve a host of other problems.

  • Recognize patterns in products and brands.
  • Recognize what is being stated in talks and how it is being received.
  • Identify the attitude of the customer toward the services and goods.
  • Evaluate the reaction to interactions on social media and other channels.
  • Find the high-value components of a good or service.
  • Discover the efficacy of what rivals are saying.
  • Map out the potential performance effects of third-party partners and channels.

Terms You Should Know For Social Media Analytics


  • Page Likes: The number of people who like/follow your page.
  • Reach The number of viewers of your post.
  • Sponsored reach: The number of people that saw your paid Facebook ad or boosted post.
  • Reactions: The number of individuals who “liked” or selected another response to a post.
  • Shares: The number of times your posts were shared.
  • Engagement: The overall number of likes, shares, and reactions to your content.
  • Video views: The number of times your video was actually watched and enjoyed.


  • A number of views: How many people viewed your tweet?
  • Link clicks: Indicates how frequently a link in a tweet was clicked.
  • Retweets: The number of times someone else has retweeted one of your posts.
  • Likes: Calculates the number of times readers have clicked the “heart” icon next to one of your tweets.
  • Mentions: How many times has a tweet linked to your account?


  • Watching time: the quantity of time a viewer has spent watching a video. You can see from this what kinds of media people truly watch.
  • Average view duration: the projected average minutes watched per view for the given material, date range, area, and other filters.
  • Views: the number of genuine views for your networks or movies.
  • Data contrast: To analyze data from different types of content, click Comparison… at the top of the page and then input details like the kind or source.
  • Sharing: displays the number of times your content has been shared via the YouTube “Share” button and lists other sites people are using to share films.

Google Analytics (also used for WordPress Blogs)

  • Session: the average length of a single visit to a website.
  • User: Each unique visitor will only be counted once, even if that person visits your website more than one time.
  • Page views: One page view is recorded every time a user accesses a page on your website.
  • Bounce: Every time a visitor lands on your page but leaves without clicking anything, you’ll lose potential revenue.


The most important thing to do with social media analytics data is to understand what the numbers are telling you, and how that information can be used to effectively grow your business. This can’t be achieved until you understand the different metrics being presented, how they relate to one another, and how you can use them for practical application in your industry. Social media is great place to gain knowledge on anything. Yesterday I got a article on installing a freestanding tub inside a walk shower. We examined the importance of analytics and learned what they mean.

Sophia Jennifer
I'm Sophia Jennifer from the United States working in social media marketing It is very graceful work and I'm very interested in this work.

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