"Is a 55% bounce rate bad?" is an unanswerable question. On a news article it's excellent; on a checkout page it's a resignation letter. The only version of that question with an answer is: "Is 55% unusual for sites like mine?" — and that's what benchmarks are for.

Below are the ranges we see across third-party estimates for five common site types, plus the method for building benchmarks that are actually yours — which matters more than any table, ours included.

Typical ranges by site type

These are rough, deliberately wide ranges drawn from patterns across third-party estimate data — treat them as calibration, not targets. "DR of ranking competitors" means the typical Domain Rating of sites holding page-one positions in that market, i.e. the bar you're competing against, not a score to farm.

Site typeDR of ranking competitorsBounce ratePages / visitTime on siteOrganic share of traffic
SaaS50–8045–65%2–41–3 min30–60%
Ecommerce40–7535–55%3–62–4 min25–45%
Publisher / news70–90+55–75%1.5–31–3 min20–40%
Local services10–4040–60%2–31–2 min40–70%
B2B services30–6050–70%2–31–2 min35–65%

Ranges are rough syntheses of third-party estimates, not measured industry statistics. Your niche's real bar can sit outside them — which is exactly why you build your own set.

Three patterns in that table worth internalizing:

  • Publishers bounce high and it's fine. One-article visits are the format. Judging a news site by SaaS bounce standards produces panic about nothing.
  • Local services win with tiny DR. The competition is other DR-20 sites, not the internet. Authority is relative to the SERP you're in.
  • Organic share varies more than any other column. Which is why comparing Ahrefs and Similarweb-style estimates side by side is the first thing to do with any competitor — it tells you what game they're playing before you copy their moves.

How to build benchmarks that are actually yours

1. Pick 5–10 real competitors, not aspirational ones

Sites that rank for the queries you want, at roughly your scale. Including one aspirational outlier is fine for direction; benchmarking a local roofer against Home Depot is theater.

2. Same source, same day, every metric

The cardinal rule. Estimates differ between tools by design, so a comparison is only valid inside one source. Pull every competitor's numbers from the same provider on the same date — and record the fetch date, because "May's estimate vs July's estimate" is a silent apples-to-oranges error. (Every field our API returns carries its own fetched_at for exactly this reason.)

3. Medians, not means

One viral competitor drags a mean into fantasy. The median of your competitor set is the honest middle of your market; quartiles tell you what "ahead" looks like.

4. Re-pull quarterly, track direction

A benchmark is a photograph; a quarterly series is a film. "Our DR gap closed from 18 points to 9 in two quarters" is a strategy statement. "Our DR is 42" is trivia.

The mistakes that invalidate benchmarks

  • Comparing your analytics to their estimates. Your Google Analytics number and their panel-based estimate aren't the same species. Benchmark estimates against estimates — pull the estimate for your own domain too, even though you know the real figure.
  • Mixing tools mid-comparison. DR from one tool, traffic from another, engagement from a third — each choice is fine; mixing them per-competitor is not.
  • Chasing a global average. "Average bounce rate across the web" includes porn, banking and Wikipedia. It describes nothing you compete with.
  • Benchmarking once, deciding forever. Markets move. A 2024 benchmark justifying a 2026 strategy is nostalgia.

A 20-minute benchmark, start to finish

  1. List your queries' page-one regulars → pick 6.
  2. Pull DR, both traffic estimates, bounce, pages/visit and time-on-site for each — the free checker returns that exact set per domain, or one /v1/domains call each via the API.
  3. Median each column. That row is your market's baseline.
  4. Put your own site's estimated numbers next to it. The deltas are your quarter's priorities.

Twenty minutes, one spreadsheet row, and every future "is X bad?" question has an answer that ends the meeting: "It's inside our market's range" — or it isn't, and now you know what to fix. What to fix first is the subject of the follow-up on moving DR and traffic.