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How Can Marketers Predict The Impact Of Applying Recommendations On Their Optimisation Score?

Marketers using platforms like Google Ads often encounter various recommendations aimed at improving their campaigns. But how can they know if these suggestions are worth implementing? One key indicator is the optimisation score. This score reflects how well your account is set up to perform, and recommendations can directly impact it.

Each recommendation provides insight into its potential effect on your optimisation score, displayed as a percentage increase. For example, a suggestion might indicate that applying it will boost your score by 5%. This makes it easy for marketers to gauge which changes will have the biggest impact.

Google Ads Auto Apply Recommendations

By analysing these percentage values, marketers can decide which recommendations to prioritise. For instance, if a recommendation offers a 10% boost, it’s likely to be more significant than one offering a 2% increase.

In conclusion, predicting the impact of applying recommendations is simple: each suggestion comes with a percentage that shows how much your optimisation score will improve. By understanding these percentages, marketers can make informed decisions about which recommendations to implement to optimise their campaigns effectively.

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Original Source: https://www.sfdigital.co.uk/blog/how-can-marketers-predict-the-impact-of-applying-recommendations-on-their-optimisation-score/

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