Bia Camargo
Head of Google and Chief AI Architect at Ecom Nation
Bia Camargo is Head of Google and Chief AI Architect at Ecom Nation. She leads PPC strategy and develops AI-supported advertising systems for ecommerce brands. Her teaching and speaking focus on building effective Google Ads foundations, including conversion tracking, campaign structure, audience signals and automation, while keeping human judgement central to account management.
Explore Bia’s work
Shows, ideas and places to learn from Bia Camargo.
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Channels & websites2
Videos1
Performance Max Optimization: Structure, Signals & Intent Done Right | PPC TH 123
Bia Camargo presents a framework for reviewing conversion actions, intent signals, campaign structure and Merchant Center feed health before relying on automation.
Image: OptmyzrNewsfeed7
Performance Max asset A/B testing appears in additional Google Ads accounts
Google documents a Performance Max asset-testing beta comparing two sets in one asset group, while a new observation suggests visibility in more accounts.
Image: Bia Camargo
Performance Max observation shows finished display-banner uploads
An account observation shows a Performance Max Image ads control accepting up to 15 finished display-banner creatives, distinct from standard image assets.
Image: Bia Camargo
AI Max makes branded and unbranded options more explicit
Bia Camargo’s account observation shows clearer options for all, branded and unbranded searches in AI Max. This is a change in the interface she observed, not evidence that a new underlying targeting capability has reached every account.
Image: Bia Camargo; reproduced in Paid Media News Week 39This is a collection of published credits and official links, not an exhaustive CV or a points total. A guest appearance is different from hosting a show. Community and event links identify the named organiser; they do not imply membership or a speaking appearance.
Contribution ranking & points 28 pts
Contribution points
28 contribution points · 6 credited works · #45 in the Lifetime contribution ranking.
Uncapped points calculated from published source credits. Expertise is not assessed for this editorial profile. These are separate from registered members’ verified scores, lifetime achievement points and levels.
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