Optimization score is a 0 to 100 estimate of how fully your Google Ads account follows Google's recommendations. The critical distinction: it measures compliance with the recommendation list, not the real health of your account. Both applying and dismissing a recommendation raise the score, and that design alone shows it is not a target to chase blindly. The right use is reading it as a to-do list and filtering every item through your own profit goal.
What does the score measure, and what does it not?
The score is computed from the estimated impact of open recommendations: the more items waiting, the lower the score. That is what it measures; what it does not measure matters more: it knows nothing about your profitability, conversion quality or business goals. A loss-making account at 100% and a highly profitable one at 70% are both possible.
Which recommendations should you apply, and which should you question?
Recommendations do not arrive at one quality level. The practical approach is three buckets: technical fixes you can apply directly, budget and bid changes to weigh against your goals, and expansion suggestions that mostly deserve dismissal.
- Usually apply: broken link and disapproved ad fixes, conflicting negatives, missing ad assets and similar technical, harmless items.
- Weigh against your goal: budget raises, target CPA/ROAS loosening and bid strategy changes; these sit at the intersection of Google's growth goal and your profit goal, and the two do not always align.
- Mostly question: broad match expansions and automated audience expansion; on thin margins they can scale cost fast.
- Do not fear dismissing: a reasoned dismissal also fixes the score and keeps the list clean.
Why is auto-apply risky?
Google Ads offers to auto-apply part of the recommendations. For technical fixes that can be harmless; but for budget, bids and match expansion, auto-apply means handing over the steering wheel. Without knowing when and why a change happened, you cannot diagnose a performance swing. Reviewing recommendations by hand on a weekly routine preserves both control and learning.
What flow should the review follow?
- Read the recommendation: look past the headline to the detail; under a raise-your-budget suggestion, which campaign and what amount.
- Compare with your goal: it may raise conversions while breaking your profit target; the yardstick is your metric.
- Apply or dismiss with a reason: do not leave items hanging; dismissal fixes the score and simplifies the list.
- Watch the impact: note what you applied and check the result two weeks later.
Filter recommendations through your own profit goal
Ads Sensor analyzes your account with AI and presents actions with reasoning; applying is always your call.
When is a low score not a problem?
If the score is dragged down by suggestions you neither want to apply nor bothered to dismiss, the problem is list buildup, not the score; dismiss with reasons and it recovers. If, however, the items lowering it are technical faults like broken conversion tracking or disapproved ads, those are urgent regardless of the score. In short: useful as an alert list, misleading as a success measure. For real account health, the audit checklist is the better frame.
Agencies and score pressure
Some program and badge requirements may expect staying above a certain score, a pressure that can push agencies to put the score before client profit. If you are the client, the right question is: does this recommendation serve my goal or the score? In reporting, ask for conversions, cost and the profit curve rather than the score; our reporting template gives that frame.
Use optimization score like an assistant: let it bring the list, and make the decision yourself. To see recommendations and drift through your own profit metrics, join the Ads Sensor beta.