What Is a Good Google Ads Optimization Score? (And Should You Chase 100%?)

There is no single good Google Ads Optimization Score. Google describes the score as an estimate of how many of its recommendations you have applied, not a measure of how well your campaigns perform, so a 62% account can outperform a 94% one. This article explains how the score is calculated, what range is reasonable, which recommendations deserve skepticism, and how to improve results using your own goals instead of a number on a dashboard.

How Optimization Score Is Calculated

Optimization Score is a percentage from 0 to 100% that Google presents as an estimate of how well your account is set up to perform. It is built from the recommendations Google generates for each campaign, then rolled up to a single account-level figure. Check the current definition in Google Ads Help, since Google adjusts the wording and the recommendation types over time.

A recommendation is a suggestion Google surfaces for your campaigns, such as adding keywords, changing a bid strategy, creating new ad assets, or fixing a tracking issue. Each one carries an estimated impact on the score. Google weights them, so one large pending recommendation can cost more points than several small ones. That is why a score can drop sharply when a single big suggestion appears, even if nothing about your campaign changed.

You can find the score on the Recommendations page in your Google Ads account. It also appears as a column you can add to your campaign table, so you can see it per campaign and for the account as a whole. Menu names and layout move around, so confirm the current path in your own interface instead of relying on a screenshot from a few years ago.

Here is what moves the number:

• Applying a recommendation raises the score, because that suggestion no longer counts as pending.
• Dismissing a recommendation also removes it from the pending list, so it stops dragging the score down.
• New recommendations appearing lower the score, often without any action on your part.

What does not move it directly: your conversions, your cost per conversion, or your return on ad spend. The score is based on recommendations, not on results. An account can sit at 98% while losing money, and one at 55% can be highly profitable. Treat the number as a to-do list indicator, not a report card.

So What Counts as a Good Score?

There is no official benchmark. Google has indicated that 100% is not the goal for every account, and it positions the score as a guide for finding opportunities, not a grade. Any claim that "80% is good" or "you should be above 90%" is a rule of thumb someone invented, not Google data.

That said, the number can still tell you something. These tiers are illustrative, based on how scores tend to be read in practice, not on Google statistics:

• Low scores (say, below 50%) often mean recommendations are piling up unreviewed. It does not prove the account is bad, but it suggests nobody has looked at the Recommendations page in a while.
• Mid-range scores (roughly 60% to 85%) can be perfectly healthy. The remaining recommendations may simply not fit your goals, budget, or business model.
• Near-100% scores can mean someone worked hard on the account. They can also mean someone accepted every generic suggestion to make the number go up.

Why a lower score can be the right call

Several legitimate situations hold a score down. A brand-new campaign may be missing data that Google's suggestions assume exists. A tightly budgeted account will keep seeing "increase your budget" prompts that it cannot afford to accept. And some advertisers make deliberate strategy choices, such as sticking with manual bidding or tightly controlled match types, that Google's suggestions will repeatedly push against.

In each case, the lower number reflects a decision, not a failure.

The rule of thumb

Judge the score against your cost per conversion, conversion volume, and profit, not against a target percentage. If those are healthy and moving the right way, a middling score is not a problem. If they are poor, a high score will not rescue them.

Why Chasing 100% Can Hurt Your Account

The common misconception is that a higher score means better performance. There is no verified source showing that relationship, so it is safest to treat it as unproven. What the score reliably tells you is how many suggestions you have acted on. Whether those suggestions help depends entirely on your account.

It also helps to remember where recommendations come from. Google builds them to improve your results in general, and some of them can also lead to more spend on the platform. That is not an accusation, since more spend can be right for a profitable account. But it is a good reason to review each suggestion critically instead of treating it as neutral advice.

Recommendation types that deserve scrutiny

Recommendation names and availability change, so confirm what you actually see in your account. As of October 2026, these categories commonly warrant a second look before you apply them:

• Broad match keyword additions or upgrades. Broad match can reach a wide range of searches. Without strong conversion data and a solid negative keyword list, it can bring in irrelevant traffic.
• Automatically created assets. Google can generate headlines, descriptions, or other assets. You may want to review the wording for brand voice, accuracy, and compliance before it runs.
• Budget increases. More budget raises your spending ceiling. It only makes sense if your campaigns are limited by budget and converting profitably.
• Bid strategy changes. Switching strategies can reset learning and shift how your money is spent, so it needs enough reliable conversion data to work.

Auto-apply deserves its own mention

Auto-apply is a setting that lets Google implement certain types of recommendations automatically, without you approving each one. Which types are available, and how they behave, can change, so read the current description in Google Ads Help and check your account's auto-apply settings.

If you turn it on, do it deliberately and by recommendation type, not as a blanket yes. If you inherited an account or manage a client's, look at this setting early. Changes you did not approve are hard to diagnose when performance shifts.

Recommendations Worth Applying vs. Ones to Dismiss

You do not need a different opinion on every recommendation. A short filter handles most of them. Before applying anything, ask four questions:

1. Does it match the campaign goal? A suggestion that expands reach does not help a campaign built around a narrow, high-value audience.
2. Does your conversion tracking support it? Automated suggestions lean on conversion data. If that data is thin or wrong, the advice built on it is shaky.
3. Can your budget absorb it? If a change would spread your spend thinner or raise it, be sure that is affordable.
4. Can you measure it? If you cannot tell afterward whether it helped, note the date and the baseline before you apply it.

Usually worth checking first

Some categories tend to be low-risk or fix real problems: conversion tracking issues, ad disapprovals or policy problems, missing sitelinks and other extensions (now called assets in many parts of the interface), and relevant negative keyword suggestions. Still read each one, but these usually have a clearer upside.

Usually needs caution

Budget increases, broad match, bid strategy changes, and anything that expands traffic without clean conversion data should earn a closer look. These can all work. They just carry more ways to go wrong.

An illustrative example

Suppose you run a lead-gen account that records only a handful of form submissions a month, and some of those are junk leads. Google recommends moving to a more automated bid strategy. Before accepting, check whether the conversions being counted are real leads, whether the volume is enough for the strategy to learn from, and whether you have a plan to compare results afterward. If the tracking is weak, fix that first and dismiss the recommendation for now.

Dismissing with a reason keeps your score honest and your account history clear. It is a decision, not a failure. If you work with clients, a one-line version helps: "The score measures how many of Google's suggestions we have applied, not how well your ads perform. We apply the ones that fit your goals and decline the rest."

Improving Performance Beyond the Score: Search Terms and Negatives

Keywords and search terms are not the same thing. A keyword is what you bid on. A search term is what someone actually typed before seeing your ad. The Search Terms Report shows those real queries, and that is where wasted spend tends to show up: irrelevant searches that matched your keywords loosely, or queries with the wrong intent.

A simple routine does a lot of the work:

• Review the Search Terms Report on a regular schedule, weekly for active accounts.
• Add irrelevant queries as negative keywords, which tell Google not to show your ads for matching searches.
• Add high-intent queries that convert as new keywords, choosing a match type (exact, phrase, or broad) that fits how tightly you want to control them.

In practical terms, this routine often moves results more than whatever percentage sits at the top of the Recommendations page. That is experience talking, not a statistic, and your account may differ. But the logic holds: cutting irrelevant clicks and doubling down on queries that convert acts directly on cost per conversion, which is the number the score ignores.

The slow part is the handling. Exporting search terms to a spreadsheet, sorting, then re-entering negatives and keywords is tedious, especially across several accounts. Keywordme is a Chrome extension that works inside the Search Terms Report, so you can add negatives, add keywords, and apply match types without leaving Google Ads or touching a spreadsheet. You review and choose every action yourself. It does not make changes on its own and does not promise any particular result. As of this writing it costs $12 per month per user, with a 7-day free trial, so confirm current pricing on the site.

A Score You Can Defend, One Recommendation at a Time

A good Optimization Score is one you can justify recommendation by recommendation. If you can say why you applied each accepted suggestion and why you dismissed each declined one, the percentage is whatever it is, and that is fine. Your real measures remain cost per conversion, conversion volume, and profit.

This week, open the Recommendations page and go through what is pending using the four-question filter. Then move to the Search Terms Report and clean out the irrelevant queries while promoting the ones that convert.

If you want that second step to go faster, Start your free 7-day trial (then just $12/month) of Keywordme. Optimize Google Ads campaigns 10X faster without leaving your account: remove junk search terms, build high-intent keyword lists, and apply match types instantly, right inside Google Ads. No spreadsheets, no switching tabs, just quick, seamless optimization.