Google Shopping Mastery

Google Shopping is won in the product feed, not the campaign settings. Your feed decides which searches you appear for, how your listing reads, and whether Google's systems can match your products to intent at all. Most underperforming Shopping accounts have a data problem being managed as a bidding problem.

The feed is the campaign

Unlike search advertising, you do not choose keywords. Google matches queries to products using your titles, attributes and category assignments. If your titles are the terse internal names your catalogue uses, you are invisible for how customers actually search.

Titles carry the most weight. A title structured with the attributes shoppers include in queries — brand, product type, key specification, size, colour — will surface for far more relevant searches than a bare product name. Beyond titles, completeness matters: GTINs, correct product categories, availability and accurate pricing all affect matching and eligibility.

Performance Max and the control question

Performance Max automates placement and bidding across Google's inventory, and it works well when fed good data and clear conversion signals. The trade-off is visibility — it reveals less about where spend goes than older campaign types did.

We manage that with structure rather than hope: segmenting by margin and performance so automation optimises within boundaries you set, rather than averaging your best and worst products into one undifferentiated pool.

Bidding to margin, not revenue

A blanket ROAS target across a catalogue with varying margins systematically overspends on low-margin lines and underspends on profitable ones. Where margin data is available, we bid to profitability instead — which frequently reduces revenue slightly while increasing actual profit.

What you get

Feeds Built For How People Search

Titles and attributes are restructured around real query language, which expands matching far more reliably than bid changes do.

Structure That Directs Automation

Segmenting by margin and performance keeps Performance Max optimising within your boundaries instead of averaging everything together.

Bidding To Profit

Where margin data exists we target profitability rather than blended ROAS, which often lifts profit even as revenue dips slightly.

Fewer Disapprovals

Proactive feed hygiene keeps products eligible, since silent disapprovals remove revenue without appearing as a performance problem.

How we run it

Step 1 — Feed Diagnostic

We audit titles, attributes, categories and disapprovals to find where matching and eligibility are being lost before any bidding review.

Step 2 — Feed Restructure

Titles are rebuilt around query language and missing attributes populated, with rules that hold as the catalogue changes.

Step 3 — Campaign Segmentation

Products are grouped by margin and performance so automation has clean signals and spend follows profitability.

Step 4 — Iterate On Query Data

We read the search terms products actually match, refine titles and negatives, and reallocate budget toward what converts.

Frequently asked

Almost always a feed problem rather than a targeting one. Google matches queries to products using your titles, attributes and category assignments, so vague or internally-worded titles invite loose matching. Restructuring titles around the language customers actually use, populating missing attributes and correcting category assignments tightens relevance at the source. Negative keywords help at the margins but cannot compensate for a feed that describes products ambiguously.

It generally performs well when it has good data and clean conversion signals, and the reduced visibility is a real trade-off rather than a fatal flaw. The way to manage it is structural: segment products by margin and performance so automation optimises within boundaries you define instead of averaging your best and worst lines together. Feeding it accurate conversion values, ideally profit rather than revenue, matters more than any setting inside the campaign.

They are the highest-leverage field in the feed. Titles carry the most weight in query matching, so a title containing the attributes shoppers actually search — brand, product type, key specification, size, colour — surfaces for substantially more relevant searches than a bare internal product name. Title restructuring is routinely the single change that produces the largest improvement, and it costs nothing in media spend.

Rarely, because a blended target across varying margins systematically overspends on low-margin products and underspends on profitable ones. If a 4x return is break-even on one line and highly profitable on another, one target cannot serve both. Where margin data can be passed in, we bid to profitability instead. This often reduces headline revenue slightly while increasing actual profit, which is worth agreeing on before reporting begins.

Most commonly mismatches between feed data and the landing page — price or availability differing from what the page shows — plus missing required identifiers such as GTINs, and policy issues in restricted categories. Disapprovals are damaging precisely because they are quiet: products simply stop serving, and the effect looks like declining performance rather than an eligibility problem. We monitor the diagnostics directly so it is caught as a data issue.

Included

Feed Optimization
Performance Max (PMax)
ROAS Bidding

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