- Information gleaned from algorithms that identify the changes necessary for the largest increase in campaign spend, independent of performance impact
- There’s no specific focus, as all types of recommendations are surfaced for all individual and manager accounts
- Recommendations are surfaced when the system determines that business objectives need to be expanded.
- Information gleaned from machine learning and simulations that identify potential performance uplift based on a marketer’s business objective
The correct answer is: Information gleaned from machine learning and simulations that identify potential performance uplift based on a marketer’s business objective
Explanation: The variables that affect whether an optimization score recommendation is surfaced in an account predominantly revolve around data derived from machine learning and simulations. These tools can identify opportunities for performance improvement, centered around a marketer’s business objective. The optimization score, which reflects the estimated performance of your Google Ads account, harnesses statistical models, machine learning, and simulations to establish the potential uplift each recommendation might deliver, thereby creating a roadmap for optimized, goal-focused campaigns.
Read more here: https://school4seo.com/google-ads-tips-and-tricks/mastering-google-ads-a-beginners-guide-to-optimization-score/
Reference: https://support.google.com/google-ads/answer/9061546