Social Media Content Analytics

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Social media content analytics evaluates content performance across platforms by analyzing posts, mentions, and engagement signals. Using a social listening tool, brands can generate analytical reports that highlight which content themes, formats, hashtags, and authors are driving the most impact.

What is social media content analytics?

It’s more than just likes and comments.

Social media content analytics involves aggregating and analyzing large volumes of public posts to uncover actionable insights.

This includes identifying:

  • Top-performing content types (e.g., images, videos, Reels)
  • Most engaging social media mentions
  • Popular topics and most used keywords
  • High-frequency hashtags via hashtag tracking
  • Top authors or influencers contributing to brand-related conversations

Using platforms like EmbedSocial, large brands and agencies can monitor thousands of posts in real-time—grouped by campaign, platform, or keyword—and export automated reports for content planning and performance tracking.

What can you track?

With social media content analytics, you can track:

  • Top authors: See which accounts are driving the most engagement, UGC, or buzz around your brand. Great for influencer discovery and brand ambassador identification.
  • Most used hashtags: Uncover trending or campaign-related hashtags used across your community and competitors.
  • Post-level sentiment: Apply sentiment analysis to categorize content as positive, negative, or neutral, giving context to engagement numbers.
  • Keyword trends: Use social media keyword tracking to find which product names, industry terms, or brand-related phrases are gaining traction.
  • Engagement metrics: Track likes, comments, shares, and video views across top posts to benchmark content performance.

Why is it important?

For content, UGC, and social teams, this type of analytics is essential for:

  • Measuring the impact of influencer campaigns
  • Finding high-performing UGC for reuse or amplification
  • Identifying top social media mentions to engage with or reshare
  • Tracking which content formats are resonating most with your audience
  • Supporting broader metrics like share of voice (SOV) by content type


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