Last August, Google Ads launched a new metric that can help you improve your account performance and achieve better results with less budget: the optimization score.
The Optimization Score is a super-useful guide
Do you want to learn more about SEM and Google Ads? Click here and download the most complete manual on how to successfully run advertising campaigns on Google (updated edition for 2024).
Google Ads improves performance with optimization score
To how much you’re getting out of your account, and it also includes recommendations for achieving better results. Let’s take a look at what it is exactly and how to use it.
What is Google Ads Optimization Score?
The optimization score (not to be confused with the quality score or keyword quality level ) is a metric designed by Google Ads to give an estimate of how well you are taking advantage of your opportunities as an advertiser.
To check your optimization score
You need to go to the Recommendations Europe Cell Phone Number List of Google Ads. There you will be able to see the score that has been assigned to you and a series of tips aimed at improving it, so it is very easy for you to optimize your account based on this metric.
Best practices recommended by
Google Ads to improve your optimization score
Check Google Ads recommendations regularly . In principle,
Google recommends taking a look
Filter your optimization score to the level that matters most to you . Your optimization score C Level Contact List Library unique, but is available at the campaign, account, and manager account level. Choose the one that matters most to you based on your Google Ads settings.
Filter recommendations by section
Recommendations are organiz around 4 distinct themes: ads and extensions , bids and budgets, keywords and targeting, and fixes. This way, you can focus on improving one area at a time and see more clearly where you need to focus.
Prioritize recommendations based
On expected improvement . Optimization Score allows you to recommend the most effective optimizations for your account, taking into account historical performance and using auction simulations and machine learning. This way, you can focus on improvements with the most immediate results first and make the most of your resources.