Hagakure in Google Ads - what is it?

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rabia829
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Joined: Tue Dec 10, 2024 10:11 am

Hagakure in Google Ads - what is it?

Post by rabia829 »

Hagakure is not the noodle dish you ordered from the Japanese last night. But it does come from Japan, specifically from the Google offices. Hagakure is a new methodology capable of offering an innovative structure to Google Ads campaigns. In short, Hagakure in Google Ads consists of a new way of structuring campaigns. Do you dare to try it?

Over the years, Google Ads account structures have become more complex , including a large number of campaigns, ad groups, ads, and keywords. Added to this is the advancement in improving Google's algorithms . Today, campaigns are capable of processing a large amount of data, and managing them can become very complicated.

Let's simplify them with the Hagakure method!

Hagakure in Google Ads - Cover


What does the term Hagakure mean?
Hagakure means “hidden in the leaves” or “in the shadow of the viber database leaves”, it also represents the title of the famous book by Yamamoto Tsunetomo in which the author promotes the spirit of Bushido: The Way of the Warrior , a manual book for young samurai.

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The name is actually quite fitting. So what does Hagakure mean to our digital warriors?

Hagakure: Google Ads Ads Strategy
As Google's algorithm evolves and implements machine learning and data intelligence, new automation-based ad structures emerge . Before this computing revolution, campaign structures were divided into ad groups, each with a keyword in all of its matches . It was understood that by having ads with more keywords and more similar to searches, greater relevance would be obtained.

But if you want to be a true advertising samurai, we'll teach you the Hagakure method so you can understand the true spirit of Google Ads.

Hagakure suggests a new campaign structure that directly targets Google Ads’ automation and machine learning algorithm optimization. How do we achieve this? By simplifying structures, maximizing relevance , and letting the algorithms find the best matches between bids. In other words, we reduce the hyper-targeting typical of old granular structures.

You need to adapt the new structure based on your business objectives. Setting the objective for each campaign determines how the machine learning algorithm will learn and what decisions it will make. The Hagakure method generally achieves very good results in campaigns with objectives linked to results . It is important to plan this stage and define the objectives well.
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