Google Ads: CTC's Complete Playbook
Tony Chopp, VP of Paid Media at Common Thread Collective, breaks down CTC's Google Ads Canon, the complete framework we use to turn Google into a true demand-harvesting machine for 7-9 figure ecommerce brands. Learn how to expand your search frontier beyond product queries, set incrementality-adjusted ROAS targets, and structure campaigns for maximum profitable growth.
In this episode:
Why Google is demand harvesting, not demand creation — and why that distinction changes everything
The four-quadrant search term framework: mapping competition vs. volume to find untapped intent
Expanding your search frontier into problem and use-case queries (the silicone ring example)
Landing page strategy: matching page intent to query intent, not defaulting to generic PDPs
The trifecta: smart bidding + broad match + responsive search ads
Incrementality-adjusted bidding: Google brand benchmark = 0.27 iROAS, non-brand = 0.6 iROAS
Six-campaign structure: Brand Search, Non-Brand Search, and PMax/Shopping split by acquisition vs. retention
Brand search defense strategy: when to bid aggressively and when to pull back
Feed optimization: complete attributes, optimized titles, daily updates, less than 10% disapproval rate
How Statlas normalizes iROAS across all channels for true apples-to-apples budget allocation
Key Stat: Google brand search has an average incrementality benchmark of 0.27 — meaning most of that attributed revenue would have happened anyway. Are you bidding against platform numbers or real incremental numbers?
Show Notes:
Your free LTV audit is waiting at smile.io: https://bit.ly/4bKlMCv
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have
In this episode:
Why Google is demand harvesting, not demand creation — and why that distinction changes everything
The four-quadrant search term framework: mapping competition vs. volume to find untapped intent
Expanding your search frontier into problem and use-case queries (the silicone ring example)
Landing page strategy: matching page intent to query intent, not defaulting to generic PDPs
The trifecta: smart bidding + broad match + responsive search ads
Incrementality-adjusted bidding: Google brand benchmark = 0.27 iROAS, non-brand = 0.6 iROAS
Six-campaign structure: Brand Search, Non-Brand Search, and PMax/Shopping split by acquisition vs. retention
Brand search defense strategy: when to bid aggressively and when to pull back
Feed optimization: complete attributes, optimized titles, daily updates, less than 10% disapproval rate
How Statlas normalizes iROAS across all channels for true apples-to-apples budget allocation
Key Stat: Google brand search has an average incrementality benchmark of 0.27 — meaning most of that attributed revenue would have happened anyway. Are you bidding against platform numbers or real incremental numbers?
Show Notes:
Your free LTV audit is waiting at smile.io: https://bit.ly/4bKlMCv
Explore the Prophit Engine: https://commonthreadco.com/pages/prophit-engine
The Ecommerce Playbook mailbag is open — email us at podcast@commonthreadco.com to ask us any questions you might have
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