How can marketers predict the impact of applying recommendations on their optimization score?
Cross reference the settings of comparable campaigns with higher optimization scores.
Each recommendation shows its impact on the optimization score as a percentage.
Use Google AI to forecast the increase in conversions as a result of recommendations.
Leverage trusted, third-party tools to analyze and optimize their campaigns.
Explanation
Analysis of Correct Answer(s)
The Google Ads platform provides a straightforward way to understand the value of each suggestion on the Recommendations page. This is the most direct and accurate method for predicting the impact.
- Each recommendation explicitly states its potential impact on the Optimization Score as a percentage uplift. For example, a suggestion might be labeled with "+5%," indicating that applying it will increase your overall score by five percentage points.
- This feature allows advertisers to prioritize recommendations based on which ones will provide the most significant improvement to their account's health and performance potential, as measured by the score.
Analysis of Incorrect Options
- Use Google AI to forecast the increase in conversions: While recommendations are powered by AI and often aim to increase conversions, the question specifically asks how to predict the impact on the Optimization Score, not on performance metrics like conversions. The score uplift is a distinct, clearly displayed value.
- Leverage trusted, third-party tools: The Optimization Score is a proprietary, real-time diagnostic tool within Google Ads. Third-party tools cannot access the internal data required to predict changes to this specific score.
- Cross reference comparable campaigns: This is an indirect and imprecise method. While comparing campaigns can be a good general practice, it does not provide the specific, quantifiable impact that applying a single recommendation will have on the score.