In which way can marketers predict the impact of applying recommendations on their optimisation score?Google AI is used to forecast how conversions will be increased as a result of recommendations.The settings of comparable campaigns are cross-referenced with higher optimisation scores.Every recommendation shows how it affects optimisation score as a percentage.Trusted, third-party tools are leveraged to analyse and optimise campaigns.

Marketers can predict the impact of applying recommendations on their optimization score in the following way:

1. Google AI is utilized to forecast how conversions will increase as a result of the recommendations. This means that the AI technology analyzes the data and predicts the potential increase in conversions that can be achieved by implementing the recommendations.

2. The settings of comparable campaigns are cross-referenced with higher optimization scores. By comparing the settings of similar campaigns that have achieved higher optimization scores, marketers can get an idea of how implementing the recommendations might impact their own optimization score.

3. Every recommendation shows how it affects the optimization score as a percentage. This means that each recommendation comes with information on the expected impact it will have on the optimization score, expressed as a percentage. Marketers can use this information to assess the potential impact of each recommendation on their overall optimization score.

4. Trusted, third-party tools are leveraged to analyze and optimize campaigns. Marketers can use external tools provided by trusted third-party companies to analyze their campaigns and optimize them based on the recommendations. These tools can provide additional insights and guidance on how to improve the optimization score.

By considering these steps, marketers can make informed decisions about which recommendations to implement and predict the potential impact on their optimization score.