Bounce Rate Benchmarks 2026

Average bounce rate by channel (30 - 68%), industry, and page type - compiled from published industry benchmarks. Context is everything: a 60% bounce rate on a blog post is normal; on a paid landing page it is a problem. Get started free

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By Benchmarketing Research Team Reviewed by Performance Marketing Editorial Reviewed March 2026 · observations Q1 2023 – Q4 2024

Cross-industry averages - All traffic sources-2026

45.0%

Overall Median, all traffic, all pages

Email Traffic
30.0%
Paid Search
51.0%
Elite
<25%

Bounce Rate Benchmarks

March 2026

Bounce rate must be interpreted in context. Select a dimension to see relevant benchmarks. Remember: lower bounce rate is better for conversion-focused pages, but normal for content pages.

SegmentMedianLow endHigh end
Email Marketing 30.0% 20.0%42.0%
Direct 38.0% 26.0%52.0%
Organic Search 42.0% 29.0%58.0%
Paid Search 51.0% 36.0%68.0%
Referral 40.0% 28.0%55.0%
Social (Organic) 58.0% 44.0%72.0%
Paid Social 62.0% 48.0%76.0%
Display 68.0% 54.0%80.0%

Lower bounce rate = better engagement. P25 = top performers (low bounce). P75 = higher bounce rates (bottom performers on engagement). Context varies by page type.

What Is a Good Bounce Rate? (It Depends)

Under 25% Exceptional

Highly engaged traffic with strong page-to-page flow. Typical for well-structured apps, dashboards, and e-commerce checkout flows. May also indicate tracking implementation issues (check GA4 events).

25 - 40% Excellent

Top quartile for most page types. Strong indicator of content relevance, fast load speeds, and effective internal linking. Email and direct traffic typically lands here.

40 - 55% Average

Industry median range for most content types and traffic sources. Normal for paid landing pages, organic search, and referral traffic. Focus on improving, but not alarming.

55 - 70% High - worth investigating

Above average for conversion-focused pages. May be acceptable for informational blog content. For paid landing pages, this range indicates potential message mismatch or UX friction issues.

Over 70% Problematic for paid traffic

Likely indicates serious message mismatch, slow load speeds, or irrelevant audience targeting for paid campaigns. For blog content, this can be normal. For any conversion-focused page, investigate immediately.

GA4: Bounce Rate Is Now "Engagement Rate"

Google Analytics 4 replaced bounce rate with engagement rate - sessions that last 10+ seconds, scroll 90%+, or trigger a conversion event. Engagement Rate + Bounce Rate = 100% in GA4. A 65% engagement rate = 35% "bounce equivalent." Most benchmark data (including ours) can be read in either direction. If your GA4 shows 60% engagement rate, your effective bounce rate is 40%.

What Drives Bounce Rate

Page load speed

Each additional second of load time increases bounce rate by ~7%. Pages loading in under 2 seconds have significantly lower bounce rates than those taking 4+ seconds. Google PageSpeed Insights is your first diagnostic tool.

Ad-to-page message match

When ad copy promises one thing and the landing page delivers another, bounce rates spike. Paid traffic has the highest bounce rates (51% median) precisely because mismatches are common. Match headline, offer, and visual language exactly.

Traffic source quality

Email traffic bounces at 30% because subscribers already know and trust you. Social traffic bounces at 62%+ because intent is low. Bounce rate analysis without traffic source segmentation is meaningless.

Mobile UX and responsiveness

Mobile bounce rates run 10 - 15% higher than desktop on most sites. Mobile-first design, tap targets sized correctly (44 - 44px min), and readable text without zooming are baseline requirements.

Bounce Rate Benchmark FAQ

A "good" bounce rate depends heavily on page type and traffic source. Landing pages for paid campaigns: 45–55% is average, under 35% is strong. Blog posts: 60–70% is typical (users read and leave). For context, email traffic bounces at 30% median - the lowest of any channel.

Sources

Every statistic on this page traces to a named source below. Benchmarketing does not publish anonymous "studies show" figures. Rows labeled Benchmarketing are our own aggregated, curated benchmark data.

  1. 1 WordStream Google Ads Benchmarks, 2024. Third-party research
  2. 2 Meta Business Insights, 2024. Platform data
  3. 3 HubSpot Email Marketing Report, 2024. Third-party research
  4. 4 Unbounce Conversion Benchmark Report, 2024. Third-party research
  5. 5 Databox Marketing Benchmark Report, 2024. Third-party research
  6. 6 AdLiftr Snapchat Ads Cost Benchmarks, 2026. Third-party research
  7. 7 Ad Badger Amazon Advertising Benchmarks, 2026. Third-party research
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These benchmarks are drawn from a multi-source benchmark cohort aggregated across industries and regions, covering the period Q1 2023 – Q4 2024. Figures on this page come from the Benchmarketing benchmark dataset: thousands of curated benchmark observations spanning channels, industries, and US metro areas, refreshed on a published schedule. Every statistic traces to a named source — no anonymous “studies show.” Data is sourced from:

  • WordStream Google Ads Benchmarks (2024) - Third-party research
  • Meta Business Insights (2024) - Platform data
  • HubSpot Email Marketing Report (2024) - Third-party research
  • Unbounce Conversion Benchmark Report (2024) - Third-party research
  • Databox Marketing Benchmark Report (2024) - Third-party research
  • AdLiftr Snapchat Ads Cost Benchmarks (2026) - Third-party research
  • Ad Badger Amazon Advertising Benchmarks (2026) - Third-party research

The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.

Benchmarks reflect median values across large sample sets. Your industry, business model, and account maturity will cause variation. Use P25/P75 ranges to understand realistic distribution.

Read full methodology

Written by

Benchmarketing Research Team

Data & Analytics

Reviewed by

Performance Marketing Editorial

Senior Review

Last updated

Reviewed March 2026

Observation period: Q1 2023 – Q4 2024

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