
Key takeaways
- Sistrix's study of more than 80 million keywords reports an average click-through rate of 28.5% at position 1, 15.7% at position 2 and 11% at position 3.
- Position 10 averages only 2.5% click-through rate in the Sistrix data, so position 1 earns more than ten times as many clicks.
- Position 1 click-through rate ranges from 46.9% with sitelinks to 13.7% when Google Shopping results appear on the page.
- Sistrix concludes that SERP layout determines how many potential clicks an organic result can get for a keyword.
- A single average CTR curve is a poor forecasting input, because the same position earns very different click shares under different layouts.
Most CTR-by-position charts show one smooth curve. The Sistrix study is worth reading because it shows how much that curve moves once you account for what else is on the results page.
What did the Sistrix CTR study measure?
Sistrix analyzed more than 80 million keywords and billions of search results, joining cleansed Search Console data with information about each page’s layout. Its average curve is steep: 28.5% at position 1, 15.7% at position 2, 11% at position 3 and 2.5% at position 10.
Why does position 1 not always earn the same clicks?
Because the layout around the result differs. Sistrix’s position 1 figures run from 46.9% with sitelinks and 34.2% for pure organic results down to 23.3% with a featured snippet, 18.8% when ads are present and 13.7% when Google Shopping appears. Sistrix’s own summary is that layout decides how many potential clicks an organic result can get.
How reliable is this study today?
It is a 2020 study, with a page modification in July 2025, and it covers mobile data. The layout effect is the durable lesson; the exact percentages are not a current benchmark. For newer trackers and how their numbers differ, see the report on organic CTR by position.
The evidence
- Sample
- 80+ million keywords, billions of results, mobile
Hypothesis: Sistrix set out to better understand click rates in Google Search, and the study tests whether a single average click-through rate per position describes real behavior, or whether the layout of the results page changes how many clicks an organic result receives at the same position.
Method: Sistrix combined cleansed Search Console data with information on SERP layouts across more than 80 million keywords and billions of search results. The study covers mobile device data on the first results page. Sistrix says the Search Console data needed intensive cleanup before it was usable, and it compared click rates for pure organic results against results where a SERP feature such as sitelinks, a featured snippet, a knowledge panel, Google Shopping or ads was present. SEO Madman did not run this study; this piece summarizes the method as Sistrix published it.
Findings
- Across all results, Sistrix reports an average click rate of 28.5% at position 1, 15.7% at position 2, 11% at position 3 and 2.5% at position 10.
- Position 1 CTR depends on the layout: pure organic results 34.2%, sitelinks 46.9%, featured snippets 23.3%, knowledge panels 16.7%, Google Ads present 18.8%, Google apps 16.3% and Google Shopping 13.7%.
- Sistrix's stated conclusion is that SERP layout determines how many potential clicks an organic result can get for that keyword.
Limitations: The study was first published on July 14, 2020, and Sistrix marks the page as modified in July 2025, so the absolute numbers predate AI Overviews and other current SERP changes. The page covers mobile data only, Sistrix itself notes the Search Console data required intensive cleanup, and the underlying keyword data is not published, so the figures cannot be independently reproduced. Treat the layout gaps as a directional finding, not a current benchmark.
Sources
- 1.Why (almost) everything you knew about Google CTR is no longer valid - SISTRIX, July 14, 2020Primary
About the author

Founder
Founder, UpgradIQ, Inc.
Adam Hafez works on technical SEO and search measurement: how pages get crawled, indexed, ranked and now quoted by answer engines. He founded UpgradIQ, which reads Google Search Console and GA4 to tie ranking movement back to the changes that caused it. He publishes what the data supports and states the limits of it.
- Technical SEO
- Search Console and GA4 measurement
- Answer engine optimization
- Structured data
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