Paid Advertising Intermediate

Expected CTR

Expected CTR is a Google Ads Quality Score component predicting how likely a keyword's ad is to be clicked, based on historical performance and auction context.

Expected CTR is a component of the Google Ads Quality Score that estimates how likely a keyword’s associated ad is to receive a click relative to other ads in the same auction, based on historical performance data and predicted behaviour.

What Expected CTR Means in Marketing

Quality Score in Google Ads has three components: expected click-through rate, ad relevance, and landing page experience. Expected CTR is the most click-focused component, measuring whether the ad is likely to be clicked when it appears for a given keyword.

The score is relative rather than absolute. Google compares the predicted click-through rate of the ad against what other advertisers achieve for the same keyword at the same position. An above average rating means the ad is predicted to be clicked more often than competing ads. A below average rating indicates the ad is likely to be clicked less often than competitors at the same position.

This matters because click-through rate is a signal of ad quality. An ad that users choose to click demonstrates relevance to their search. An ad that users skip over suggests a mismatch between the keyword and the message.

How Expected CTR Works

Google calculates expected CTR using the keyword’s historical performance in the account, the ad’s historical performance, and network-wide data for that keyword where account-level history is insufficient. The calculation adjusts for ad position, since CTR naturally decreases for lower positions.

Because the comparison is position-adjusted, a keyword can receive an above average rating even if its absolute CTR appears modest, as long as it performs better than other ads at the same position for that keyword.

Expected CTR feeds into Ad Rank alongside ad relevance and landing page experience. A higher Quality Score reduces the cost per click required to hold a given position. Expected CTR is the component most directly influenced by ad copywriting quality and message relevance.

Responsive Search Ads contribute to expected CTR by testing multiple headline and description combinations. Over time, Google identifies which combinations generate higher click rates and shows them more often, improving the expected CTR signal for the keyword.

Expected CTR Example

A travel agency runs ads for the keyword “honeymoon packages Maldives”. One ad’s headline reads “Travel Packages India”. Another reads “Maldives Honeymoon Packages - Book Online”. The second ad achieves a much higher CTR because it directly addresses the specific intent of the keyword. Google’s expected CTR rating for the second ad is above average, while the first is below average. The Quality Score difference means the agency pays less per click when using the better-matched headline, even without changing the bid.

Why Expected CTR Matters for Marketers

Expected CTR is the Quality Score component most directly improved by ad copy decisions. It rewards advertisers who write headlines and descriptions that precisely match what searchers want to see.

Improving expected CTR compounds through the Quality Score system: a higher rating improves Ad Rank, which either wins better positions at the same bid or maintains the current position at a lower cost. Over time, the cost efficiency of well-written ads over generic ones is significant.

Expected CTR also signals alignment between keyword selection and message. If expected CTR is consistently below average across an ad group, it often indicates the keyword themes and ad messages are not well matched, which points back to structural issues in ad group organisation.

Frequently Asked Questions

Does expected CTR use my account's historical data or industry data?

Both. Google uses the historical performance of the specific keyword and ad combination in your account where enough data exists. For newer keywords or ads without sufficient history, Google draws on broader data from across its network for that keyword. The comparison is always made in the context of the ad position: a click-through rate that looks low in absolute terms might be rated above average because it is higher than what other advertisers achieve at the same position for that keyword.

How can I improve a below average expected CTR?

Ad copy quality is the primary lever. Headlines that address the searcher's intent directly, include the keyword naturally and make a clear offer tend to generate higher click-through rates. Testing different headline variations within Responsive Search Ads provides data on which messages work best for each keyword theme. Including relevant assets such as sitelinks and callouts also increases the physical size and information density of the ad, which improves CTR on most impressions. Reducing mismatches between keyword intent and ad message also helps.

Is a high expected CTR always good for an account?

High expected CTR improves Quality Score and lowers cost per click, which is generally positive. The exception is when clicks are not converting: a very high CTR with low conversion rates means the ad is attracting clicks from users who are not the right audience. In this case, improving CTR through clickbait-style headlines would be counter-productive. The goal is a high CTR from relevant, intent-matched users, not clicks for their own sake. CTR and conversion rate should be optimised together, not in isolation.

Consulting & Strategy

Need help putting this concept into practice on your campaigns? Share your current targets and I will suggest the right approach.

Discuss your campaigns