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Optimization

Configuring your bidding amount automatically toggle
With this setting, bidding amounts will be automatically adjusted within your budget (e.g. Max CPC) to help you reach your ad delivery objectives.


(Last updated: June 14, 2019)

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Where is auto-bidding optimization applied? toggle

Auto-bidding optimization is applied to ad groups.

 

 

(Last updated: June 14, 2019)

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What happens when I edit the settings of an ad group? toggle
When you change the bidding amount or targeting of an ad group, it will affect the bidding environment and relearning will be necessary. At the beginning of the relearning period, ad delivery may decrease. This is in order to prevent a sudden increase in the number of ads delivered.
Note: "Learning" means the system is studying the best bid amount for achieving the optimization objective (e.g. to maximize conversions or installs).


(Last updated: June 14, 2019)

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Will performance change during and after auto-bidding optimization learning? toggle
When auto-bidding optimization is learning, it means the system is studying the best bid amount for achieving the optimization objective (e.g. to maximize conversions or installs). For this reason, it's very likely that you'll see improved ad performance after learning is finished.


(Last updated: June 14, 2019)

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Will ads still be efficiently optimized with set target audiences? toggle
To ensure that your optimized ads get distributed as efficiently as possible, we recommend targeting a broad audience. However, if there are demographics you want to exclude, you can still use automatic optimization with targeting.


(Last updated: June 14, 2019)

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Configuring automatically to maximize clicks toggle

This setting maximizes the number of clicks you get by calculating the best CPC within an ad group's budget to win bids below your set Max CPC.

 

 

(Last updated: June 14, 2019)

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How many clicks does the learning process require for maximizing clicks? toggle
An ad group needs to get around 40 clicks to finish learning. The number of clicks has more of an impact on ad optimization than delivery schedules.


(Last updated: June 14, 2019)

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Configuring automatically to maximize conversions toggle

This setting maximizes the number of conversions you get by calculating the best CPC within an ad group's budget to win bids below your set Max CPA.

 

 

(Last updated: June 14, 2019)

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How many conversions does the learning process require for maximizing conversions? toggle
An ad group needs to get around 40 conversions to finish learning.

The number of conversions has more of an impact on ad optimization than delivery schedules.


(Last updated: June 14, 2019)

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Things to keep in mind when configuring to automatically maximize conversions toggle
If you change where you put your conversion code, it will reset the learning process to collect new conversion data.

To avoid this, we recommend creating a new ad group and then configuring to automatically maximize conversions.


(Last updated: June 14, 2019)

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Configuring automatically to maximize installs toggle

This setting maximizes the number of installs you get by calculating the best CPA within an ad group's budget to win bids below your set Max CPA.

 

 

(Last updated: June 14, 2019)

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How many installs does the learning process require for maximizing installs? toggle
An ad group needs to get around 40 installs to finish learning.

The number of installs has more of an impact on ad optimization than delivery schedules.


(Last updated: June 14, 2019)

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What data is used for optimization when I change from manual to auto-bidding? toggle
When you change an ad group's bidding configuration from manual to automatic, bidding will be optimized based on past performance data.

Also, if you change to auto-bidding without any targeting (after having already bid for ads manually with targeting for the same ad group), optimization will use past performance data until learning is finished.

If it's determined that an ad group does not have sufficient past performance data (e.g. not enough clicks or conversions), or if the data is bad (e.g. the data obtained is not suitable for learning), relearning will be necessary. In this case, the time required for learning will be about the same as when creating a new ad group.


(Last updated: June 14, 2019)

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