Case study · Pet food eCommerce · Australia · Google, Meta, TikTok, email
How an established pet food eCommerce brand built a new growth curve.
Every channel with one job, creative tested as hypotheses, audiences found with room to scale, and weekly decisions made on store data rather than platform ROAS.
5,076
new customers +145%
2.51%
conversion rate +14%
245,588
sessions +127%
SOURCE Shopify Analytics · PERIODS as above, not year on year · All figures in AUD.
In short
An established pet food eCommerce brand wanted more new customers each month without unsustainable acquisition costs. Noam Marketing ran Google, Meta, TikTok and email as one system. Comparing 1 Jan – 17 Sep 2026 with the previous 260 days, new customers rose 145% to 5,076 and sessions rose 127% to 245,588.
The challenge
Growth that stays sustainable.
- 01
More new customers
Grow the number entering each month.
- 02
Headroom
Find audiences that could absorb more spend.
- 03
Creative dependence
Replace a few winning ads with a repeatable testing system.
- 04
One system
Make four channels work together, judged on business results.
What I did, and why
Five principles behind the account.
- 01
One strategy, four channels.
Each channel given a defined job, with learnings shared across them.
- 02
Creative as a growth input.
Tests built on hypotheses: pain points, benefits, education, proof and offers.
- 03
Audience discovery.
Locations, ages, intent patterns and creative responses with room to scale.
- 04
Business-level measurement.
Weekly decisions on revenue, new customers, sessions, conversion rate and order value.
- 05
Cross-channel flow.
TikTok concepts informed Meta; search and email data shaped messaging.
Results
The numbers.
| Metric | 2026 period | Change |
|---|---|---|
| New customers | 5,076 | +145% |
| Sessions | 245,588 | +127% |
| Completed checkouts | 6,184 | +159% |
| Conversion rate | 2.51% | +14% |
| Average order value | A$189.94 | +1.1% |
What this does and doesn’t show
Limits worth knowing.
- The comparison is two consecutive 260-day periods, not year on year, so seasonality differs.
- Ad spend, return on ad spend and repeat-purchase data aren’t published.
- Figures are self-reported from the client’s ad accounts and store data for this business and period. They’re evidence of the approach, not a forecast for another business.
Industry
About
Want the same approach applied to your numbers?
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On the call
- A free 30-minute call with Noam, not a salesperson.
- A look at your site, ads and tracking before we talk.
- A clear view of where the strongest opportunity sits.
- What I’d do first, and whether I’m the right fit.
