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After identifying which metric needs to be worked on, the Root Cause Analysis goes a step further and highlights the exact Campaigns/Ad groups/Product partition/Keywords, etc. that were responsible for the change in an account. 

It shows top movers who are significant contributors to the change in the account when compared across the two date ranges. You can view the top three positive and negative movers for a particular account.

These can be further broken down into sub-contributors to check where exactly the drop/surge happened. The tool finds the contributors by taking into consideration individual keywords/ad groups/networks/devices and even specific combinations like keyword+device or network+ad group. 

This shows the Campaigns/Ad groups/Product partition/Keywords/etc. that had the highest increase in the metric that is being investigated. These elements had the highest contribution in increasing the metric across the account. This makes it easier to recognize what is working well for the account to replicate it in other campaigns or ad groups. 

For example, if mobile as a device shows up as a top contributor for an ad group, you can consider setting mobile bid adjustments for other ad groups.

This also makes it easy to identify which level is contributing to an increase. For example, if Campaign A saw a growth of 100%, its ad group X saw a growth of 160%, and its keyword C saw a growth of 188%; this can help a user identify the cause for the increase right down to the keyword level.

This shows the campaigns/ad groups/product partition/keywords/etc. that had the highest decrease in the metric being investigated. These elements had the highest contribution in decreasing the metric across the account.

Identify the pain points and work on improving them in the account to counter the decrease in account performance.

A 100% change may indicate that the Campaign/Ad group/Keyword may have been paused which is impacting account performance. This can help you decide whether you would like to enable it or keep it paused. Also, if the 100% change is at the keyword level, then it is possible that the keyword has been moved to a new ad group.

Easily identify what is causing a drop in account-level performance. For example, an ad group saw a 50% drop and under that ad group, a keyword saw clicks drop by 100%. In this case, it is clear that other keywords in that ad group are performing well in coping with the 100% drop in clicks from the identified keyword. This helps decide on whether that keyword should be paused or optimized.

If you hover over the "Clock" icon on a Top Mover, you'll be directed to the "Change History" section. Here, you'll find a comprehensive list of all changes made to the campaigns, ad groups, keywords, product partitions, etc., along with information about who performed these changes.

This feature helps you delve into the specific updates made to these entities, shedding light on the factors causing driving changes in their performance metrics.