BeforeWhen a single PMax campaign contains all products with a single ROAS target, Google's algorithm allocates budget toward whatever converts most easily. That is usually lower-priced products, products purchased by repeat customers, and products with the most historical conversion data. High-margin hero SKUs that need new customer acquisition compete for budget against low-margin products converting existing customers. The campaign reports a blended ROAS that looks acceptable, but the margin-weighted return is significantly lower.
AfterAsset group segmentation and brand exclusions redirect budget toward non-brand Shopping placements. New customer acquisition from Shopping becomes measurable and the blended ROAS reflects actual incremental revenue, not brand search harvesting.
BeforeAustralian shoppers searching Google Shopping use descriptive product terms: "women's linen midi dress Australia," "espresso machine under $500," "timber bedside table natural." They do not search by brand name or SKU. When feed titles are built around the brand's internal product naming ("Aria Dress — SKU4492 — Sage"), Shopping impressions are limited to branded searches and the campaign misses the high-intent category searches that drive new customer acquisition.
AfterImpressions increase on high-intent category searches because titles are built around what Australian shoppers actually type into Google Shopping. CTR improves because product descriptions match buyer expectations before they click.
BeforeAfterpay, Zip, and Laybuy are standard payment options for Australian e-commerce. For products priced above $50, adding BNPL messaging to Shopping ads through Google's promotion feed (or annotation) improves click-through rate by making the effective cost visible at the ad level. Most Australian brands running Shopping ads have not configured this. The result is that competitors who have configured BNPL annotations appear more attractive in Shopping results for the same product at the same price.
AfterEvery asset group has a ROAS target derived from the actual margin of the products in that group. You stop over-protecting low-margin products and under-investing in high-margin hero SKUs. Budget allocation reflects business priorities, not algorithmic convenience.
BeforePerformance Max does not have a native brand exclusion that operates the same way as a negative keyword in a Search campaign. Without a brand exclusion list applied to the PMax campaign, Google will show Shopping ads for searches that include your brand name. Those brand-intent searches would convert through your Brand Search campaign at near-zero CPA. Instead, PMax is claiming credit for conversions it did not generate, inflating its reported ROAS, and consuming budget that should be allocated to non-brand acquisition.
AfterBNPL annotations, accurate availability data, and structured titles place your products alongside or above competitors who are running default feeds. In Australian Shopping auctions where multiple sellers offer similar products, feed quality is a direct differentiator.