AC
Google Ads Search Advertising Certification

In which way can marketers predict the impact of applying recommendations on their optimization score?

Trusted, third-party tools are leveraged to analyze and optimize campaigns.
The settings of comparable campaigns are cross-referenced with higher optimization scores.
Every recommendation shows how it affects optimization score as a percentage.
Google AI is used to forecast how conversions will be increased as a result of recommendations.

Correct Answer

Every recommendation shows how it affects optimization score as a percentage.

Why is this the correct answer?

Marketers can predict the impact of applying recommendations on their optimisation score because every recommendation shows how it affects optimisation score as a percentage. On the Google Ads Recommendations page, each individual suggestion is accompanied by an estimated percentage-point increase in optimisation score — allowing marketers to compare recommendations, identify the highest-impact actions, and make data-driven decisions about which to apply first. This transparent impact scoring is built directly into the interface and requires no external tools or cross-referencing.

Why are the other options incorrect?

Trusted, third-party tools are leveraged to analyze and optimize campaigns.

Third-party tools are not used to calculate or predict optimisation score impact — Google generates the estimated percentage uplift for each recommendation within the Google Ads interface itself.

The settings of comparable campaigns are cross-referenced with higher optimization scores.

Cross-referencing comparable campaigns' settings is not how optimisation score impact is predicted — each recommendation's estimated uplift is calculated based on your specific account's data and goals.

Google AI is used to forecast how conversions will be increased as a result of recommendations.

Google AI forecasting of conversion increases is not what the Recommendations page provides — it shows the estimated optimisation score change, not a direct conversion forecast.

Real-World Example

A campaign manager reviewing the Recommendations page sees three suggestions: adding responsive search ad assets (+6%), enabling broad match (+9%), and raising the target CPA (+4%). By prioritising the broad match recommendation based on its highest predicted optimisation score impact, the manager lifts the account score from 58% to 67% in one action — exactly as the percentage indicator predicted.

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