Free Instagram Analytics

Instagram EngagementRate Calculator

Analyze any public Instagram account instantly. Get engagement rate, average likes & comments, best posting times, and account health score.

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Engagement RateAvg LikesBest TimeHealth Score

How It Works

Enter Username

Type any public Instagram username — no login or API key needed.

Instant Analysis

We analyze recent posts to calculate engagement rate, averages, and trends.

Get Insights

View your engagement rate, health score, best posting times, and growth trend.

Instagram Engagement Benchmarks

Follower RangeAvg. RateRating
1K – 10K4% – 8%Excellent
10K – 50K2% – 5%Good
50K – 200K1.5% – 3%Average
200K – 1M1% – 2%Average
1M+0.5% – 1.5%Typical

Why SnapDown?

Instant Results

Get comprehensive engagement analytics in seconds, not minutes.

100% Free & Anonymous

No signup, no login, no data stored. Your searches are completely private.

Detailed Metrics

Engagement rate, health score, posting times, growth trends — all in one view.

Actionable Insights

Know exactly when to post and how your account compares to benchmarks.

Frequently Asked Questions

What is a good Instagram engagement rate?
A good engagement rate ranges from 1% to 5% depending on your follower count. Micro-influencers (1K–100K) often see 3%–8%, while accounts with 1M+ followers typically see 0.5%–1.5%. Anything above 6% is excellent.
How is the engagement rate calculated?
Engagement Rate = (Average Likes + Average Comments) ÷ Total Followers × 100. We analyze the most recent posts on the profile to compute this average.
Can I check private accounts?
No, only public Instagram accounts can be analyzed. Private accounts don't expose their post data publicly.
Is this tool really free?
Yes, 100% free! No signup, no credit card, no hidden fees. Analyze as many accounts as you'd like.
How accurate is the account health score?
The health score is based on engagement quality, posting consistency, comment-to-like ratio, and audience interaction patterns. It provides a helpful benchmark but should be used alongside other analytics for comprehensive insights.