In which ways can marketers determine the potential impact of applying recommendations on their optimization score?
Correct Answer
The recommendations all show how they affect optimization score as a percentage.
Why is this the correct answer?
Marketers can determine the potential impact of applying recommendations on their optimisation score because the recommendations all show how they affect optimisation score as a percentage. Each recommendation on the Google Ads Recommendations page displays the estimated percentage-point increase in optimisation score that would result from applying it. This transparent scoring system allows marketers to compare recommendations, prioritise the highest-impact actions, and make informed decisions about which suggestions to apply — all without needing third-party tools or manual cross-referencing.
Why are the other options incorrect?
Trusted, third-party tools are used to analyze and optimize campaigns.
Third-party tools are not used to measure the impact of recommendations on optimisation score — the score and its per-recommendation uplift estimates are calculated by Google AI within the Google Ads interface itself.
Comparable campaigns’ settings are cross-referenced with higher optimization scores.
Cross-referencing comparable campaigns is not how optimisation score impact is determined — Google calculates the estimated uplift for each recommendation based on your specific account's data, not other accounts' settings.
Through Google AI, marketers can forecast how conversions will be increased as a result of recommendations.
The Recommendations page does not forecast conversion increases as a percentage — it shows the estimated optimisation score change, not a direct conversion forecast.
Real-World Example
A paid search manager reviews the Recommendations page and sees three suggestions: enabling broad match (+8%), adding sitelink assets (+5%), and adjusting target CPA (+3%). By acting on the highest-impact recommendation first — broad match — and validating performance before applying the others, the manager lifts the account's optimisation score from 61% to 77% in two weeks while maintaining a stable cost per conversion.