TL;DR
Engagement rate measures the percentage of an audience that actively interacts with content or product — varies by context. Social media: (likes + comments + shares) / impressions. Product: % of MAU performing a key action. Email: % of recipients who opened or clicked. Always specify which definition; cross-platform comparison is invalid without normalization.
What is engagement rate?
Engagement rate is a family of metrics measuring how actively an audience interacts with content, product, or communications. The exact formula depends on context: social media engagement rate = (likes + comments + shares + saves) / impressions or followers; product engagement rate = % of MAU performing a key action (e.g., posting, creating, sharing); email engagement rate = % of recipients who opened or clicked.
Because the formula varies, engagement rate is only meaningful when the calculation method is specified. A 6% social engagement rate is excellent on LinkedIn but mediocre on Instagram; a 35% product engagement rate is strong for a B2B analytics tool but weak for a consumer messaging app.
Why engagement rate matters
For product teams, engagement rate is a leading indicator of retention. A user who engages deeply (high product engagement rate) is materially more likely to retain than one who passively logs in. For B2B SaaS, product engagement rate correlates strongly with NRR and customer health score.
For marketing and content teams, engagement rate is the most-cited social-media performance metric. Algorithms reward engagement signals, so high engagement compounds into higher reach. For email, engagement rate is the deliverability signal — low engagement triggers spam filtering, suppressing future deliverability.
Engagement rate formulas by context
Social media engagement rate (by impressions): = (likes + comments + shares + saves) / impressions × 100 Social media engagement rate (by followers): = (likes + comments + shares + saves) / followers × 100 Product engagement rate: = active users performing key action / MAU × 100 Email engagement rate (open): = opens / delivered × 100 Email engagement rate (click): = clicks / delivered × 100 Always specify which formula. Cross-platform comparison without normalization is invalid.
Benchmarks
| Context | Best-in-class | Median | Below average |
|---|---|---|---|
| Instagram (per follower) | 3-6% | 1-2% | <0.5% |
| LinkedIn (per impression) | 3-7% | 1.5-3% | <1% |
| TikTok (per follower) | 5-12% | 2-5% | <2% |
| Twitter / X (per impression) | 1-3% | 0.5-1% | <0.3% |
| B2B SaaS product engagement (% MAU active weekly) | 65-85% | 40-60% | <30% |
| Email open rate (B2B) | 25-45% | 15-25% | <10% |
Benchmarks compiled from RivalIQ 2025 Social Media Benchmarks, Mailchimp 2025 Email Benchmark, and Amplitude 2025 Product Benchmarks.
Related metrics
Engagement rate connects to open rate, CTR, activation rate, DAU/MAU, WAU/MAU, customer health score, and NRR.
At a glance
- Category
- Marketing Metrics
- Related
- 5 terms
Frequently asked questions
What is a good engagement rate?
Depends entirely on context. Instagram: 3-6% per follower is best-in-class. LinkedIn: 3-7% per impression. B2B SaaS product engagement: 65-85% of MAU active weekly. Email open: 25-45% B2B. Never compare engagement rates across platforms without normalizing the formula.
How do you calculate engagement rate?
Formula varies by context. Social: (likes + comments + shares) / impressions or followers. Product: % of MAU performing key action. Email: % of recipients opening or clicking. Always specify the denominator and the engagement events counted.
Why is engagement rate per impression different from per follower?
Per-impression measures engagement quality among people who saw the content; per-follower measures engagement intensity across the entire audience. Per-impression is the better quality metric; per-follower is the better reach-health metric. Most platforms report both.
Does engagement rate predict revenue?
Indirectly. High social engagement compounds into reach, which builds awareness. High product engagement correlates with retention and expansion. Direct revenue prediction requires attribution downstream of the engagement signal — engagement alone is a leading, not lagging, indicator.
Sources
- RivalIQ. 2025 Social Media Industry Benchmark Report, 2025. rivaliq.com
- Mailchimp. 2025 Email Marketing Benchmark, 2025. mailchimp.com
- Amplitude. 2025 Product Benchmarks Report, 2025. amplitude.com
Fairview tracks product engagement alongside NRR and customer health in one operating view — see the operating intelligence overview for the broader category.
Definitions and benchmarks reviewed by Siddharth Gangal, Founder, Fairview.
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