Hagakure Structure
By the AdFlint research team · Last reviewed July 2026
Google's consolidation philosophy: few campaigns, broad keywords, and responsive ads, so machine learning sees pooled data instead of scattered fragments.
Originating from Google Japan, Hagakure argues that automated bidding performs better when traffic concentrates in a small number of high-volume ad groups rather than spreading across many thin ones. Advertisers adopt it when moving to Smart Bidding and broad match. The misunderstanding is reading it as an instruction to delete all structure. You still need separation where budgets, geographies, or margins genuinely differ, and negatives still do real work.
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