SEO Term Definition
Engagement Metrics in SEO
Engagement metrics measure how users interact with a website — including time on page, pages per session, scroll depth, and bounce rate. Google uses behavioural signals as indirect indicators of content quality.
Reviewed by Alexander Yarovenko · Updated: 2026-07-03
What are Engagement Metrics in SEO?
Engagement metrics measure how users interact with a website's content after they arrive. While Google has not confirmed which specific engagement signals it uses as direct ranking factors, user behaviour data is widely acknowledged to influence rankings through systems like RankBrain and overall quality assessment.
Key Engagement Metrics
| Metric | What it measures | Good vs bad signal |
|---|---|---|
| Time on page / Dwell time | How long users spend on a page before leaving | Long = satisfied; Very short = not satisfied |
| Bounce rate | % of sessions with only one page viewed | Context-dependent; high can be fine for single-page reads |
| Scroll depth | How far down the page users scroll | Deep scroll = content engaged; 10% = most leave immediately |
| Pages per session | Average number of pages visited per session | Higher = more engaged; lower = didn't find what they needed |
| Return visits | % of users who come back | High = brand and content loyalty |
| Pogo-sticking | User clicks result, immediately returns to SERP | Strong negative signal; user abandoned your page |
How to Improve Engagement Metrics
- Match search intent perfectly — the primary cause of pogo-sticking is intent mismatch
- Improve content quality — comprehensive, well-written content keeps users reading
- Use media — images, videos, and infographics increase scroll depth and time on page
- Improve readability — short paragraphs, clear headings, scannable structure
- Internal links — guide users to related content; increases pages per session
- Improve page speed — slow pages increase immediate bounces before content is even read