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What kinds of factors contribute to an optimization score recommendation being surfaced in an account?

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What kinds of factors contribute to an optimisation score recommendation being surfaced in an account?

  • The results of algorithms which identify the changes that would lead to the largest increase in campaign spending, irrespective of performance impact
  • When advertisers need to expand their business objectives, recommendations surfaced.
  • Every type of recommendation is surfaced for every individual and manager account.
  • Insights gained from machine learning and simulations that identify potential performance uplift based on a marketer’s business objective

The correct answer is: Insights gained from machine learning and simulations that identify potential performance uplift based on a marketer’s business objective

Explanation: The surfacing of an optimization score recommendation in an account is primarily driven by insights gained from machine learning and simulations, which pinpoint potential performance uplift in alignment with a marketer’s business objective. The optimization score, a real-time estimate of your Google Ads account’s performance, makes use of complex statistical models, simulations, and machine learning to discern the potential optimization uplift of each recommendation, thereby informing a tailored, goal-oriented strategy for each account or campaign.

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

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