Optimization Score is a percentage in Google Ads that estimates how closely your account follows Google's own recommendations, not how well your campaigns are performing.
Optimization Score runs from 0 to 100 percent. It appears at the account, campaign and account group level. Each recommendation Google shows you carries a percentage. Applying it raises the score.
The key thing to understand is what it measures. It does not measure results. It measures agreement. A 100 percent score means you did what Google suggested. It does not mean you are profitable.
Recommendations fall into three groups, and they deserve very different treatment.
[table]
Type of recommendation | Examples | What to do
Genuinely useful fixes | Fix broken conversion tracking. Add missing negatives. Repair disapproved ads | Apply. These are real problems
Depends on your situation | Switch bid strategy. Add responsive search ads. Adjust a target | Judge each one. Some help, some do not
Usually spend more | Raise budget. Remove negatives. Turn on broad match. Enable display expansion | Usually skip in B2B. Check the reasoning first
[/table]
Most of the percentage available in a typical account sits in the third group. That is the source of the tension.
Google's recommendations are built to grow the whole system. More reach, more clicks, more conversions counted across all advertisers.
A B2B SaaS account wants the opposite of reach. It wants fewer, better people. Removing negative keywords raises your score and lowers your lead quality. Turning on broad match raises your score and fills your account with searches from students and job seekers.
So a rising score with falling pipeline is not a contradiction. It is what happens when you follow advice designed for a different goal.
Two opposite mistakes, both costly.
Chasing 100 percent. Someone in the business sees a 68 percent score and treats it as a grade. The team applies everything to get the number up. Three months later the account is broader, cheaper per lead, and producing nothing sales wants to call.
Dismissing it completely. The opposite error. The team decides the score is a sales tool and stops reading it. Then a real problem sits there for weeks, such as a broken conversion action or a disapproved ad, flagged the whole time in a list nobody opened.
Read every recommendation. Apply few. Dismiss the rest on purpose.
Dismissing counts toward your score, which most people do not know. So you can reach a high score while rejecting advice that does not fit your business. That is the correct way to use the tool.
Set a monthly habit. Open the recommendations tab, sort by the percentage each one offers, and read the top ten. Apply anything about broken tracking or wasted spend. Dismiss anything that widens your audience without a reason you agree with. Our Google Ads optimization checklist sets out what to review and how often.
Never turn on auto-apply in a B2B account. It will remove negative keywords and widen match types while you are not looking, and you will find out from your sales team rather than your dashboard. If an agency or a Google rep pushes you to apply everything, that is a signal worth weighing when you evaluate who runs your account.
There is no correct number. The score measures how closely you follow Google's advice, not how well your account performs. A well run B2B account that rejects reach-focused recommendations can sit in the 70s and do very well.
No. It is not used in the auction and it does not change how your ads rank or what you pay. It is a checklist, not a ranking factor.
No. Apply the ones about broken conversion tracking, disapproved ads and missing negative keywords. Be cautious with any recommendation that raises your budget, widens match types or removes negatives, as those usually cost B2B accounts money.
Yes. Dismissing counts the same as applying. This is the part most people miss. You can hold a high score while deliberately rejecting advice that does not suit your business.
Not in a B2B account. Auto-apply can remove negative keywords and widen match types without you seeing it happen. The first sign of trouble is usually your sales team complaining about lead quality. Keep control of your bid strategy changes too.
ScalixAI is a performance-driven Google Ads agency specializing in helping high-growth, AI-first companies scale with predictable, profitable customer acquisition. Founded by an ex-Googler with 9 years of insider advertising experience, we manage the entire Google Ads lifecycle—from campaign strategy and account setup to conversion tracking, analytics, and ongoing optimization. Our data-centric, AI-powered approach ensures you know exactly which campaigns are working, why they’re working, and what to do next to outpace your competitors.ScalixAI is a performance-driven Google Ads agency specializing in helping high-growth, AI-first companies scale with predictable, profitable customer acquisition. Founded by an ex-Googler with 9 years of insider advertising experience, we manage the entire Google Ads lifecycle—from campaign strategy and account setup to conversion tracking, analytics, and ongoing optimization.
Most clients see performance stabilize by month three. Google Ads isn’t a slot machine—it takes time to compound.
No. We work month-to-month. All we ask is that you give us three months to prove the results.
While Google Ads is our entry point, we also support LinkedIn Ads, Reddit, and X campaigns when needed.
The CRO audit covers your landing pages, CTAs, forms, and overall user flow. We’ll flag what’s holding back conversions and recommend fixes. If changes require design or dev resources, we’ll hand over clear action steps for your team, so you know exactly what to adjust.
As an ex-Googler, I know which recommendations are useful, and which are just there to hit Google’s internal targets. We’ll filter their advice for you, implementing only what actually helps us hit revenue goals.
Weekly reports show spend, conversions, CPL/CPA, and how we’re tracking against projections. “Good” means campaigns are meeting efficiency targets. “Scalable” means we can push budget and expect the same or better efficiency without breaking ROI.