Case StudiesEcommerce
Ecommerce · Paid Ads
Shaver Shop
Retail paid media is won in the weeks before the peak, not during it.
- [+XX%]
- Peak season revenue
- [-XX%]
- Cost per acquisition
- [+XX%]
- Non-brand revenue share
[period, YoY]
[period]
[period]
The Client
Who we were working with
Shaver Shop is a leading Australian personal care and grooming retailer with a large catalog, strong brand recognition, and a business that lives and dies by seasonal peaks: Black Friday, Christmas, Father's Day.
Engagement at a glance
- Platforms
- [Google, Meta]
- Engagement length
- [X months]
- Monthly ad spend
- [$XXX,XXX AUD]
- Market
- Australia
The Problem
What was actually going wrong
The account earned well on brand terms and coasted everywhere else. Performance Max spent opaquely, non-brand growth was flat, and peak periods were handled reactively, budgets raised when the peak arrived rather than positioned in the weeks before, when auctions are cheaper and learning has time to settle.
The Work
What we did about it
We separated brand from non-brand properly so the account's real performance was visible for the first time, then rebuilt Performance Max with clean asset groups and feed segmentation so its spend could be steered instead of just observed.
The seasonal calendar became the operating system: budgets, creative, and promotions staged ahead of each peak, with the learning phase paid for in the cheap weeks rather than the expensive ones.
Daily monitoring by our media agent caught pacing drift and creative fatigue between human reviews, which matters most in retail, where a broken week in November costs more than a broken month in February.
The Results
What changed, in numbers
The figures at the top of this page are the headline. Behind each one sits the account data it came from, and we will walk any prospective client through the source on a call. We publish nothing we cannot show.
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