Google Shopping is the highest-performing paid channel for most Australian online stores. A well-structured campaign consistently outconverts Search for eCommerce because the user sees the product, price, and image before clicking: they arrive at the product page already informed and with clear purchase intent. The gap between a profitable Shopping account and one that erodes margin almost always comes down to the product feed, not campaign settings.
Why Google Shopping outconverts Search for online retail
The fundamental difference between Search and Shopping for eCommerce is the quality of intent at the moment of the click. In Search, the user reads text and clicks to explore. In Shopping, they have already seen the product, its price, and an image: when they click, their expectations are precise and their intent is measurably higher.
For a store selling running shoes, someone who sees “Brooks Ghost 16 Men’s Running Shoes – AUD $219” in Google Shopping and clicks is arriving with a very specific expectation. Typical conversion rates for well-optimised Shopping campaigns in Australia range from 1.5% to 4% for apparel, electronics, and sporting goods, compared to 0.8–2% that Search typically achieves for the same products. When the feed is in order, the cost per sale is consistently lower via Shopping than via Search.
The product feed determines performance more than any campaign setting
The most common mistake in Google Shopping is treating the Merchant Centre feed as an administrative requirement. The Shopping algorithm uses feed attributes (title, description, Google product category, price, availability) to decide which searches your products appear for and at what priority. A poorly optimised feed is the leading cause of underperformance before any campaign setting is touched.
Product titles are the most important attribute for search matching. The format that performs best in Australia follows this pattern: Brand + Product type + Key attribute + Model/Variant. “Brooks Ghost 16 Men’s Running Shoes Blue Size 10 AU” attracts far more relevant traffic than “Brooks Ghost 16 Blue” even though the product is identical. Google uses the title to understand which queries correspond to the product.
Images directly impact CTR, and Shopping CTR influences auction position. Clean white background, product centred, no overlay text. Products with clean studio shots on white backgrounds consistently achieve 15–25% higher CTR than those using lifestyle imagery in the Shopping thumbnail.
Standard Shopping vs Performance Max: which to use
For eCommerce, Performance Max can work well when three conditions are met: at least 50 monthly conversions for the algorithm to learn from, a clean and optimised Merchant Centre feed, and quality creative assets (images, videos, ad copy). PMax has access to broader placement inventory than Standard Shopping and can scale more aggressively at higher budgets.
Standard Shopping remains the right starting point for accounts with limited conversion history, or where you need tighter control over which products appear for which searches. With Standard Shopping you can use ad groups to separate products by margin, season, or performance, and adjust bids by group with more precision than PMax allows.
The approach that works for most Australian stores is to begin with Standard Shopping until reaching 30–50 conversions per month, validate the feed and titles through that period, then test PMax with a portion of budget before scaling. With a well-structured feed and sufficient conversion data, results like 49x ROAS are achievable, the kind of outcome that only happens when the algorithm has clean signals to work with.
What ROAS is realistic for Google Shopping in Australia
Average Shopping ROAS in Australia varies significantly by category: electronics and technology typically sits between 3x and 6x; fashion and footwear between 4x and 9x; homewares and décor between 3x and 7x. These are averages. With correct structure and an optimised feed, results consistently sit above these benchmarks.
To calculate the target ROAS your store actually needs, start with your gross margin per product. If you’re selling at a 40% margin, you need a minimum 2.5x ROAS to cover ad spend before factoring in operating costs. With margins of 60–70% (common in private-label products), a 4–5x ROAS is comfortably profitable. The common mistake is chasing very high ROAS by cutting budgets too aggressively, which limits sales volume and the data needed for optimisation.
Segmenting by margin: the adjustment with the greatest impact on profitability
One of the highest-impact optimisations in Shopping is separating products by margin into distinct ad groups and setting different ROAS targets per group. It makes sense to bid more per click on a product with 60% margin than one with 15% margin, even if the sale price is similar.
The most practical way to implement this in Standard Shopping is to create three ad groups: high margin (>50%), mid margin (25–50%), and low margin (<25%). For high-margin products, a more aggressive Target ROAS, perhaps 3–4x. For low-margin products, a conservative Target ROAS of 6–8x, or exclude them from paid channels altogether if they cannot be profitable.
In Merchant Centre you can also add the custom_label attribute to tag products by season, hero SKU, or available stock, then use those labels as segmentation criteria in the campaign.
For context on total costs including management fees, see how much Google Ads management costs in Australia.
Have an Australian online store and want to know if your Shopping campaigns are structured correctly? Tell us about your situation.