Google Shopping · focused work
Standard Shopping campaigns
Standard Shopping keeps the controls automated campaign types put out of reach: a search terms report you can act on, negative keywords you apply yourself, product groups carrying their own bids, and a priority setting that routes queries between campaigns. For catalogs where certain items have to be defended, and for accounts that need to see what a query cost, it still earns its place.
This is the right work if
- Nobody in the business can say which search terms the store's product ads are paying for
- A few items absorb most of the budget while the rest of the catalog never gets an impression
- Clearance and low margin lines are bid at the same level as the range that earns
- Queries that never convert reappear every month with no negative list stopping them
What it is
What a Standard Shopping build covers
This is the work of structuring and running Shopping campaigns that bid on products drawn directly from Merchant Center. The build begins with a layout decision: which dimension of the catalog should change the bid, and therefore what each campaign contains. Brand, category, margin band, price band and custom label are the usual candidates, and the right answer is the one that separates products a store would pay differently for. Inside each campaign, product groups start broad and are subdivided down toward individual item IDs only where a product collects enough clicks to be bid on by itself.
The operating half is query control and money. Negative keyword lists remove searches that will never convert, campaign priority combined with shared negatives routes generic queries away from campaigns meant for specific ones, and inventory filters keep products out of a campaign entirely. Bids or return targets are set from contribution margin so a low margin accessory is not defended at the same price as the range that pays the bills. Because every click is attributable to an item ID and a search term, the reporting supports decisions that automated types can only approximate.
How it is done
The work, in order
What changes
- The account can name the searches its product ads are buying and act on them
- Bids track margin, so the products worth defending receive the budget
- Items that never convert stop drawing spend month after month
- Query routing is a decision the account makes rather than an auction outcome
Choose the layout from the catalog
Pick the dimension that should change what a click is worth, then build campaigns along it. Keep the count low enough that each campaign accumulates data, because a structure split too finely leaves every product group starved and impossible to bid on with confidence.
Subdivide product groups where data supports it
Begin at brand or product type, then break out individual item IDs once a product has enough clicks to justify its own bid. Leave the remainder in the catch-all group with a sensible group bid instead of creating hundreds of divisions that will never gather signal.
Route queries with priority and negatives
Where generic searches should be handled separately from specific ones, set differing campaign priorities and use shared negative lists to push traffic where you want it. Then check the search terms in each campaign after launch, because routing rarely behaves exactly as drawn.
Bid on what the product is worth
Work out contribution margin per item, combine it with the conversion rate the product actually achieves, and set the bid or return target from that. Use inventory filters to exclude items the store does not want advertised at all, such as loss leaders and end of line stock.
Work the search terms on a rhythm
Read the search term report every week. Add negatives for irrelevant, informational and unprofitable queries, and record the terms that convert, since those belong in feed titles and often justify a product group of their own in the next structure review.
Report and prune at item level
Pull spend, clicks, conversions and revenue per item ID each month and compare it against the store's own margin data. Label the persistent losers so the feed carries the decision, re-bid the winners, and send products with weak data back for a feed fix rather than excluding them permanently.
Platform notes
Shopify
Item IDs in Google Ads correspond to the variant identifiers Shopify sends, so bidding at item level means bidding per variant, and any change to the sync settings can renumber what the campaign is reporting on.
WooCommerce
Variable products can be sent as parent or as individual variations depending on the feed plugin settings, and that choice decides whether product groups can separate sizes and colors at all.
Is Standard Shopping still useful alongside automated campaigns?
Yes, in specific roles. It is the only Shopping format that shows search terms and accepts negative keywords, so it works as a diagnostic account, as coverage for products excluded from automated campaigns, and for stores that need to explain every click. Where both are eligible, the automated campaign serves.
How far should product groups be subdivided?
Only as far as the data can carry. A product group needs enough clicks over a bidding window for its performance to mean something. Subdividing to item ID for a product with a handful of clicks a month creates a bid nobody can justify and a report nobody can read.
What does campaign priority actually do?
It decides which of your own campaigns enters the auction when more than one contains the same product. The higher priority campaign bids, and if its negatives block the query, the next one takes it. That is what makes query routing possible, and it only works when negative lists are set up alongside it.
How do you stop product ads showing for the wrong searches?
Negative keywords, applied from the search term report and maintained as shared lists so every campaign inherits them. Feed titles matter too, since matching draws heavily on the product title, so a title that mentions an attribute the store does not really sell will keep attracting the wrong query.
Related work and answers
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