For an e-commerce business in Australia, Google Ads is likely the acquisition channel with the highest return potential, and also the one most easily wasted when managed poorly. The difference between an optimised account and one running on autopilot can easily be 5x to 10x in ROAS.
This guide gets straight to the point: what works, what doesn’t, and why most Australian e-commerce stores aren’t getting real value from their campaigns.
Why Google Ads is particularly powerful for e-commerce
Unlike social media advertising, Google captures existing demand. The user is already searching for what you sell, and you just need to appear at the right moment with the right product at the right price.
For e-commerce, this translates into three campaign types that work together:
- Google Shopping / Performance Max: shows your products directly in search results with image, price, and store name. This is the highest-volume format for almost any e-commerce store.
- Search: text ads for high-intent queries like “buy [product] online” or “[brand] price”.
- Remarketing: re-engages users who visited your store but didn’t purchase. Cost per conversion here is typically very low.
The key isn’t activating all three. It’s structuring them correctly.
The most common mistake: a neglected product feed
In Google Shopping, the product feed is the foundation of everything. Google uses the feed to decide which searches trigger your products and how prominently they appear.
A feed with generic titles, incomplete attributes, or low-quality images competes at a disadvantage against any competitor who has optimised theirs. And it’s a problem that most generalist agencies never address.
The feed improvements with the most impact on ROAS:
- Product titles: include brand, model, size/colour/material in the order that matches how users actually search
- Complete attributes: GTIN (barcode), MPN, Google product category. Products without a GTIN lose eligibility for Shopping Actions
- Real-time prices and availability: an outdated feed generates ads for out-of-stock products or incorrect prices, which penalises the account
- Images: Google prefers white-background images for Shopping; lifestyle images work better in Display and PMAX
How to structure Shopping campaigns to maximise ROAS
The most common structural mistake is putting all products in a single campaign with the same budget and the same bid. The result is that high-margin and low-margin products compete for the same budget, and the algorithm can’t optimise differently for each segment.
The structure that works:
- Segment by margin: high-margin products (30%+) in separate campaigns with more aggressive bids. Low-margin or promotional products with more conservative bids.
- Segment by historical performance: bestsellers have conversion history. Give them their own campaign with a guaranteed budget.
- Capture campaigns and conversion campaigns: a broad campaign to capture impression volume, a tighter one for high purchase-intent queries.
This segmentation allows Google’s algorithm to learn differently for each segment and allocate budget where the return is highest.
Performance Max: real opportunity or automation trap?
Performance Max (PMAX) is the format Google has been pushing hard for the past two years. And it’s right to an extent: when set up correctly, PMAX can generate conversion volume that standard Shopping campaigns can’t reach.
The problem is that configuration matters far more than Google acknowledges in its tutorials.
What separates a PMAX that works from one that wastes budget:
- Well-structured asset groups: don’t mix different product categories in the same asset group. Each product segment needs its own copy, images, and audience signals.
- Correct audience signals: giving PMAX your existing customer lists and site visitors as starting signals accelerates algorithm learning.
- Brand exclusions: without explicitly excluding brand searches from PMAX, the campaign will “steal” conversions that would have arrived anyway through direct searches, artificially inflating the reported ROAS.
- Monitoring scripts: PMAX has limited transparency by design. Scripts allow you to extract per-segment performance data that the interface doesn’t show.
The real case: 49x ROAS in a Black Friday campaign
Foto Ruano Pro, a professional photography e-commerce store, achieved a 49x ROAS during a Black Friday campaign: $200,000 AUD in revenue from just $4,000 AUD in ad spend.
The work involved three specific things:
- Restructuring Shopping campaigns by product margin and separating historical bestsellers into independent campaigns.
- Adjusting feed titles and attributes to improve eligibility for high-intent searches.
- Deploying dynamic bidding scripts that automatically adjusted bids based on available inventory and real-time margin during the promotional period.
The key factor wasn’t the budget. It was the structure and technical execution.
How much budget does an Australian e-commerce store need for Google Ads?
For Shopping, the minimum budget logic differs from Search. Here, conversion data volume is key for the algorithm to learn, and that volume also depends on the number of SKUs and average order value.
As a reference for 2026:
- Small e-commerce (50–200 products, AOV $30–$150): start with $1,500–$3,000/month and measure real ROAS before scaling.
- Mid-size e-commerce (200–2,000 products, AOV $80–$400): $3,000–$6,000/month to have enough data to optimise effectively.
- Large e-commerce or high-ticket: a reasonable starting point is $6,000/month, with potential to scale profitably once the structure is validated.
Management fees are separate from ad spend and should be evaluated independently. If you’re looking for a Google Ads agency specialising in eCommerce in Australia, here’s the guide to choosing the right one.
Where to start if your current account isn’t performing
For a full guide on product feed optimisation and margin-based segmentation in Google Shopping, see Google Shopping for eCommerce in Australia.
If you’ve been running Google Ads for months with a ROAS below 3x for standard e-commerce, the first step isn’t to increase the budget. It’s to understand why the current one isn’t working.
The most common causes are:
- Unoptimised product feed
- Campaign structure that doesn’t segment by margin or search intent
- No updated negative keyword list
- Incorrectly configured conversion tracking (what’s measuring ROAS doesn’t reflect actual revenue)
Any one of these can make an account with $5,000/month in spend perform like one with $1,000/month.
If you’d like to review what’s happening in your account, book a free call.