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In one of the world's most competitive Shopping markets, the brands that win are not always the ones with the highest bids — they are the ones whose product feed gives Google the clearest, most accurate signal of what they sell. We engineer the feed first, because feed quality is the primary lever that determines auction eligibility, impression share, and cost-per-click in the US market.
The Shopify brand spending $10K–$50K/month on Shopping — You have a proven product, a working Shopify store, and a Shopping campaign that generates revenue — but ROAS is inconsistent, scaling spend makes it worse, and you cannot tell which products are driving results and which are draining budget. The default Shopify feed and a single campaign structure will take you to a certain point. Getting past it requires feed engineering and segmentation.
The mid-market retailer competing against large catalogue players — You are competing in US Shopping auctions against retailers with thousands of SKUs, dedicated feed teams, and significant budgets. You cannot out-budget them. What you can do is out-engineer their feed on the products that matter most to your business — hero products with strong margins where auction placement quality is the deciding factor.
The brand running Performance Max without knowing why — You switched to PMax at Google's suggestion and it generates volume — but ROAS has drifted, you have less visibility into what is happening, and it is unclear whether PMax is driving incremental sales or cannibalising your other channels. PMax performance is a direct function of feed quality and audience signal quality. Without those foundations, Google optimises for volume, not margin.
The US Shopping market is crowded. Thousands of brands are bidding on the same product categories, and Google uses feed data quality as a tiebreaker when bid alone does not determine placement. Titles that read like internal SKU names, missing attributes, and generic product type taxonomy all reduce your auction eligibility and increase effective CPCs. In the US market, feed engineering is not optional — it is what separates accounts that scale from accounts that stall.
A flat campaign structure in a US catalogue — particularly one with a wide ROAS range across products — means budget is allocated by Google's algorithm without any input from your margin data. Your hero products (high margin, high conversion value) compete for budget against tail products that should be running on minimal spend or excluded entirely. ROAS-tier segmentation — hero products, core range, and long tail — is the structural fix.
US Shopping campaigns attract a high volume of search term variability. Without active search term review and negative keyword updates, accounts accumulate hundreds of low-quality queries that each spend small amounts, adding up to significant wasted budget. In highly competitive categories — apparel, electronics, homewares, supplements — search term hygiene is a weekly discipline, not a one-time setup task.
US advertisers frequently switch to Target ROAS bid strategies before accumulating the conversion volume needed for the algorithm to perform well. Google recommends a minimum of 50 conversions per month per campaign for Target ROAS to function reliably — accounts with fewer conversions than this threshold experience erratic bidding, wide ROAS swings, and unpredictable impression share. The manual CPC phase is not optional; it is the data-building stage that makes automated bidding viable.
We audit your Shopify or custom feed and rebuild product titles to match US buyer search patterns — specific to your product category and competitive landscape. For apparel, this means gender, garment type, material, fit, and size attributes in the title. For electronics, model number, key specifications, and compatibility. We complete all required and recommended attributes, resolve every Merchant Centre disapproval, and implement feed rules or supplemental feeds to maintain quality as your catalogue evolves without requiring manual title edits per product.
We build a three-tier campaign structure: Hero products (your highest-margin, highest-conversion-value SKUs) in dedicated campaigns with aggressive ROAS targets and priority budget; Core range (your main catalogue) in category-segmented campaigns; Long-tail or clearance products in separate campaigns with conservative bids and tight ROAS floors. This structure gives you clear levers on spend allocation and makes performance diagnosis straightforward — when something changes, you know which tier it is in.
We build a tiered negative keyword list — campaign-level, ad group level, and account-level shared negatives — from your US search term history. Categories covered include competitor brand terms (where bidding is uneconomical), informational queries with no purchase intent, geographic terms outside your shipping zones, and size or style queries for products you do not carry. Search term review is conducted weekly in the first month and bi-weekly thereafter.
ROAS targets are set per campaign tier based on your USD margin data. Hero product campaigns have tighter ROAS targets that reflect their stronger margin. Core range campaigns operate at category-level ROAS benchmarks. We establish conversion volume thresholds before switching to Target ROAS — accounts below threshold stay on manual CPC with regular bid reviews until data quality supports automated strategies.
We integrate PMax for retail once the feed is clean and Shopping campaigns are producing stable ROAS data. Asset groups are structured by product category and aligned with the campaign tiers in Standard Shopping. Audience signals are built from your existing customer lists, website visitors segmented by product category, and high-intent in-market audiences. We monitor PMax and Shopping impression share in parallel to ensure PMax is extending reach rather than cannibalising Shopping results.
The US Google Shopping market is among the most competitive in the world, with high CPCs across most product categories and large catalogue retailers — Amazon, Walmart, Target, and major brand direct sites — competing in almost every auction. That said, feed quality and campaign structure remain underinvested by a significant portion of mid-market advertisers, which means well-engineered accounts can achieve strong ROAS even in competitive categories by winning on product data quality rather than bidding volume alone.
ROAS-tier segmentation means separating your product catalogue into campaign groups based on their commercial value — hero products (highest margin and conversion value), core range (mid-tier), and long-tail or clearance. Each tier gets its own ROAS target, bid strategy, and budget allocation. Without this structure, Google distributes budget across all products with equal indifference to margin, meaning your most valuable products do not receive the bid attention and budget they warrant.
Google's own recommendation is a minimum of 50 conversions per month per campaign before Target ROAS is likely to perform well. Accounts below this threshold experience erratic bidding — the algorithm does not have enough data to model which searches are likely to convert. We use a manual CPC phase to accumulate conversion data before transitioning to Target ROAS, rather than switching to automated bidding prematurely and experiencing the volatility that typically follows.
Running Standard Shopping and Performance Max in parallel — with clear structural boundaries — is typically more effective than using either in isolation. Standard Shopping gives you control over your highest-priority products and makes performance diagnosis clean. PMax extends reach into non-Shopping placements using the same product feed. The key is ensuring PMax is structured to complement Shopping, not cannibalize it — which requires careful campaign priority settings and a clean, well-segmented feed as the foundation.
The most common issues we find in Shopify-generated US Shopping feeds are: product titles written for brand presentation rather than search matching ("The Aria" instead of "Women's Linen Midi Dress — Sage — Sizes XS–XL"); missing GTINs for branded products, which causes disapprovals and reduces auction eligibility; generic product type taxonomy that prevents accurate category matching; and image quality issues — backgrounds that violate Google's policy or images that are too small for Shopping placement requirements. All of these are fixable through feed engineering without changing your Shopify storefront.
Not a black box. Real specialists you can call, with their names on the work.
The US Shopping market does not reward accounts that are set up and left alone. The audit takes five days and gives you a complete picture of your feed quality, your campaign structure, and the specific changes that will move ROAS. You get the report first. No retainer required to start.
5-day turnaround · Feed audit + campaign review · No retainer required
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