📈 Engagement Rate Analyzer

Calculate engagement rate from likes, comments, and followers.

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Engagement Rate Analyzer runs entirely in your browser. Enable JavaScript to use the interactive tool — your files are processed locally and never uploaded.

What is Engagement Rate Analyzer?

Engagement Rate Analyzer calculates your engagement rate from likes, comments, and follower count — the metric brands actually check. Enter the numbers and instantly see your ER as a percentage with context on what it means.

How to Use Engagement Rate Analyzer

  1. Enter your likes, comments, and saves
  2. Add your follower count or reach
  3. Review your engagement rate and rating
  4. Use it to strengthen your media kit

Why Use Our Engagement Rate Analyzer?

  • Calculates ER from likes, comments, and followers
  • Shows reach-based and follower-based rates
  • Tells you where you fall (average, strong, excellent)
  • The metric brands care about, computed instantly

Common Use Cases

  • Building a media kit brands trust
  • Tracking engagement trends month to month
  • Benchmarking against your niche

Worked Example

Enter 1,200 likes, 85 comments, 210 saves, and a reach of 25,000. The tool totals 1,495 interactions and returns a 5.98% engagement rate with a Strong grade. Now hold the interactions the same but raise reach to 60,000 and the rate falls below 2.5% — the same post reads very differently. That is why reach-based ER is the number to quote in a media kit, not a follower-count figure that ignores how many people actually saw the post.

Frequently Asked Questions

  • ER is (likes + comments + saves) divided by reach or followers, times 100. Reach-based ER is the most accurate.
  • 1% is average, 3–6% is strong, and above 6% is excellent for most niches.
  • Use reach when you have it, because it measures the people who actually saw the post. Follower-based ER is a fallback and tends to understate smaller accounts with strong distribution.
  • Track it per post and as a monthly average over your last 10–30 posts. A single viral outlier can distort one post, so the trend line matters more for brand pitches.