01
Segmented PMax by product intent
Broke Performance Max into asset groups by product intent instead of one bucket. Each product line earned its own signals, its own creative, and its own budget logic.
Australian Window Furnishings
Australian made window furnishings. Now the name to beat in their category.
7,703→16,767
Spend tripled, efficiency held. $6.77M revenue from $263k spend.
Home improvement
cockpit
Full operational ownershipJul 2025 to Jun 2026Conversions
7,703→16,767
Revenue
$2,108,224→$6,770,651
Ad spend
$83,390→$263,018
ConversionsJul 2025 to Jun 2026
Current16,767
The setup
An Australian made window furnishings brand running one catch all campaign into a category full of bigger names.
No product level structure, no staged search architecture, nothing worth defending in the account.
The product could win. The account could not.
What it looked like
1 / 3
The strategic call
Stop running one catch all campaign and start running the account like it has a structure worth defending.
The execution
02
Staged the search campaign architecture
Rebuilt search into tightly staged, single theme campaigns. Quality Score climbed to an average of 8 across the account, which is what cheap clicks at scale actually look like.
03
Drove CRO on the product pages
Pushed continuous CRO on the product pages so the traffic the account won actually converted. Non brand ROAS stabilised at 4x, the account grew 40% year on year, and the brand became the category leader in Australia.
Channels
Google AdsLanding Page
Stack
FrankGA4Looker StudioGoogle Tag Manager
Want this for your account?
Hire on Upwork