Engagement Metrics8 min read

Scroll Depth: Definition, Formula & Benchmarks

A deep-dive guide to Scroll Depth: definition, formula, industry benchmarks, and practical strategies for product managers.

By Tim Adair• Published 2026-02-08

Quick Answer (TL;DR)

Scroll Depth measures how far down a page users scroll. The formula is Median scroll percentage. Industry benchmarks: 50-70% of page. Track this metric when optimizing content layout.


What Is Scroll Depth?

How far down a page users scroll. This is one of the core metrics in the engagement metrics category and is essential for any product team serious about data-driven decision making.

Scroll Depth measures how deeply users interact with your product after the initial activation. Strong engagement is the bridge between activation and retention --- users who engage deeply are far more likely to stick around and eventually pay (or pay more).

Understanding scroll depth in context --- alongside related metrics --- gives you a more complete picture than tracking it in isolation. Use it as part of a balanced metrics dashboard.


The Formula

Median scroll percentage

How to Calculate It

Apply the formula Median scroll percentage using data from a consistent time period. Pull the values from your analytics platform or data warehouse, compute the result, and compare against the benchmarks below.


Benchmarks

50-70% of page

Benchmarks vary significantly by industry, company stage, business model, and customer segment. Use these ranges as starting points and calibrate to your own historical data over 2-3 quarters. Your trend matters more than any absolute number --- consistent improvement is the goal.


When to Track Scroll Depth

When optimizing content layout. Specifically, prioritize this metric when:

  • You are building or reviewing your metrics dashboard and need engagement indicators
  • Leadership or investors ask about engagement performance
  • You suspect a change in product, pricing, or go-to-market strategy has affected this area
  • You are running experiments that could impact scroll depth
  • You need a quantitative baseline before making a strategic decision

  • How to Improve

  • Build habit loops. Design triggers (notifications, emails, integrations) that bring users back to perform the core action on a regular cadence. Habits drive sustainable engagement.
  • Improve feature discovery. Users cannot engage with features they do not know exist. Use contextual tips, progressive disclosure, and smart defaults to surface relevant capabilities at the right time.
  • Study power users. Your most engaged users reveal the product's highest-value workflows. Analyze their behavior patterns and find ways to guide other users toward similar usage.

  • Common Pitfalls

  • Treating this as a standalone number. No metric tells the full story alone. Always analyze this metric in context alongside related metrics to get an accurate picture.
  • Confusing activity with value. High engagement numbers can mask users who are struggling rather than thriving. Pair engagement metrics with satisfaction and outcome metrics.
  • Measuring without acting. Tracking this metric is only valuable if you have a process for reviewing it regularly and a playbook for responding when it moves outside acceptable ranges.

  • Bounce Rate --- percentage of single-page visits
  • User Activity Score --- composite score of user engagement behaviors
  • Core Action Frequency --- how often users perform the product's primary action
  • Content Consumption Rate --- percentage of available content consumed
  • Product Metrics Cheat Sheet --- complete reference of 100+ metrics
  • Put Metrics Into Practice

    Build data-driven roadmaps and track the metrics that matter for your product.