Ad Relevance

Ad relevance is one of the three components of Quality Score in Google Ads. Google's help page defines it as how well your ad fits the intent behind a search, and rates it Above average, Average, or Below average. You find it in the Keywords table by adding the Ad Relevance column through the columns icon. It is reported per keyword, even though it is driven by the ads in the keyword's ad group. A single ad group can therefore show different ratings on different keywords depending on how closely each keyword's searches match what the ads say. Look at the search terms report for the keywords with the weakest ratings, because the actual searches show what people meant, not what you assumed.

Google compares you with other advertisers whose ads showed for the exact same searches over the last 90 days. That makes the rating relative: you are measured against the field, not against a fixed standard of good copy. It also means the rating depends on search intent. If your ad group covers boiler repair, boiler installation, and radiator cleaning with one generic ad, searchers for any one of them see an ad that only half addresses their need. Competitors with tighter ads for that specific search will look more relevant. The rating is built from historical impressions on exact searches, so it moves slowly. Dynamic keyword insertion can help match wording, but only when the keywords in the group are close variants of one another.

Ad relevance links to account structure more than to wording. Google's Ad Rank page lists ad and landing page quality as one of six auction factors, and ad relevance feeds the quality measurement. In practice the structure decides whether you can write relevant ads at all. With responsive search ads, headlines combine in many ways, so every headline needs to fit every keyword in the group. A group with many unrelated keywords forces generic headlines, and generic headlines score as less relevant. Ad strength is a different measure, graded Poor to Excellent, and it does not feed Quality Score, so a high ad strength does not guarantee a high ad relevance rating. A group with a few strong keywords and a long tail of odd ones often rates better after you move the odd ones elsewhere or pause them.

The common mistake is stuffing the exact keyword into every headline, which produces repetitive copy that humans skip without fixing the underlying problem. The more likely cause of Below average is an ad group that has drifted to cover several themes. Another mistake is rewriting ads over and over while leaving the keyword list unchanged. A third is ignoring the match between keyword and message: if searchers use words like cheap, same-day, or near me, an ad that says premium and scheduled appointments does not match that intent. Context matters too, because relevance is judged against the search, not against your own idea of the product. Do not expect a new ad to fix a mismatch if the landing page still talks about something else, since the two components are rated separately.

Work from the data. Sort keywords by spend and filter to those with Below average ad relevance. Group them by theme, build a separate ad group for each theme with three or four closely related keywords, and write ads whose headlines and descriptions name that theme and its next step. Keep the groups small enough that one set of headlines truly fits them all. Give the changes a few weeks, then check the Ad Relevance column again. If a keyword is a rare, odd variant that does not fit anywhere, pausing it may be cleaner than forcing it into a group. Review ratings again when you add keywords, because new terms can pull an ad group away from its original theme.