An asset performance rating is the label Google Ads gives each headline, description, image, video or other asset to show how it performs compared with the other assets of the same type in the same ad or asset group. The labels are Best, Good and Low, with Learning or Pending shown while there is not yet enough data to judge.
How asset performance ratings work
Ratings apply to the ad formats Google assembles from parts, such as responsive search ads, Performance Max asset groups, responsive display ads, Demand Gen and app campaigns. Google shows different combinations of your assets, compares how each one performs, and assigns a label. A headline marked Best is outperforming the other headlines alongside it; one marked Low is underperforming them.
The ratings are relative, not absolute. A Low headline in a very strong ad may still perform reasonably, and a Best headline in a weak ad may not be good in any wider sense. The comparison is only within assets of the same type in the same ad or asset group, so you cannot compare the label of a headline in one campaign with the label of a headline in another.
Alongside the labels, at the time of writing (October 2026) Google’s asset reports show impressions and, for many asset types, clicks and conversion data. These numbers are more useful than the label alone, because they show how often each asset was actually used. An asset that rarely shows has had little chance to prove itself.
Why it matters
In automated formats you cannot see every combination Google serves, so asset ratings are one of the few ways to learn which messages work. For a UK business, they can reveal useful things: that headlines mentioning a fixed price outperform those about experience, or that a photograph of a real job beats a stock image. Those lessons apply beyond Google Ads, to landing pages and other channels.
They also guide maintenance. Low-rated assets take up slots that could hold something better. Replacing them gradually keeps an ad improving over time and supports a stronger ad strength score, although ad strength measures variety and completeness rather than actual results.
Common mistakes
- Replacing assets while they are still Learning, before Google has enough data to rate them.
- Deleting every Low asset at once, which resets the mix and restarts the learning.
- Treating Best as proof of quality. Best only means better than the alternatives in that ad.
- Ignoring how pinning affects ratings. A pinned headline always shows in its position, so the comparison with unpinned headlines is less meaningful.
- Chasing labels instead of business results, such as keeping a Best headline that attracts clicks from people who never enquire.
How to act on it
Review asset reports monthly rather than weekly, so ratings have time to settle. Look at impressions first: if an asset has very few, its label means little. Then replace one or two Low assets at a time with new ones that test a different idea, such as a different benefit, a price, a location or a reason to choose you, rather than rewording the same message.
Keep a note of which messages earn Best ratings across campaigns, and use that pattern when writing new ads. If you want to test a specific change to wording across many ads with a clear comparison, use ad variations rather than relying on ratings. Reviewing asset ratings and refreshing creative is a regular part of my monthly PPC management.