Standard Shopping Campaign Structure: 3-Tier Priority Framework

Standard Shopping's underused superpower is campaign priority - the setting that lets you route different query types to different campaigns with different bids. The 3-tier framework (brand at high priority, generic mid-funnel at medium, long-tail catch-all at low) is the workhorse structure most agencies still under-deploy. This article walks through the framework, the negative-keyword flow between tiers, and the Google Ads Editor template that gets you from "empty account" to "3-tier structure live" in one hour.

Why priority tiers exist (Google's auction logic)

Standard Shopping's campaign priority setting exists to solve one specific problem: what happens when two or more Shopping campaigns in the same account are eligible for the same query. Google Ads Help states the rule plainly - the higher-priority campaign wins the auction, regardless of bid. High beats Medium beats Low, in that order.

That single tiebreaker is the mechanism the entire 3-tier framework rests on. By combining priority with negative keywords, you can force any specific query type to land in a specific campaign with a specific bid strategy. Brand queries land in the high-priority "brand" campaign at aggressive bids; generic mid-funnel queries land in the medium-priority "generic" campaign at conservative bids; everything else falls to the low-priority catch-all.

Priority does not affect Ad Rank on external competition - you still need competitive bids to win against other advertisers. It only affects internal contention. Which is exactly what you want when running multiple Shopping campaigns on the same product set.

This distinction trips up a lot of advertisers who assume priority is some form of budget pacing control, or that it interacts with Quality Score. It doesn't. Priority is purely an internal referee: when your own campaigns compete against each other for the same query, priority decides the winner instantly, before the external auction is even run. Two campaigns bidding £2 and £0.50 respectively will still see the £0.50 High-priority campaign win over the £2 Medium-priority campaign for a shared query, every single time.

Because the rule is absolute and deterministic, it's also completely predictable - which is what makes it buildable into a repeatable framework rather than a one-off account hack. Once you understand the rule, the only remaining design question is: which queries do you want landing in which campaign, and how do you force that routing? That's where negative keywords come in, and it's the subject of the rest of this guide.

The 3-tier framework overview

Three Standard Shopping campaigns, each containing the entire product feed, differentiated by priority and negative keywords:

All three campaigns include every product in the feed. The routing between them is handled entirely by the negative-keyword flow, not by product-group filtering. Framework fits catalogues of roughly 100-5,000 SKUs and pairs with our Google Ads eCommerce guide.

The reason this beats a single monolithic Shopping campaign is simple: intent varies wildly across query types, and Smart Bidding performs best when it isn't asked to optimise across wildly different intent bands simultaneously. A single campaign mixing "acme sofa" (branded, near-certain purchase) with "affordable sofa ideas" (informational, low intent) forces one bid strategy to serve two very different jobs. Splitting by intent lets each campaign's bidding algorithm specialise.

It's worth being explicit about what "full feed in every campaign" means in practice: you are not creating three different product sets. You upload or sync the same Merchant Center feed to all three campaigns. The Shopping auction then decides, per query, per impression, which of the three eligible campaigns actually gets to serve - and priority plus negatives is what tips that decision every time.

Build your 3-tier structure

Enter your brand name, top generic keyword count and catalogue size below - the tool generates the campaign structure you should build in Google Ads.

Tier 1: Brand priority (high) - setup + negatives

The Brand tier captures queries that already know your brand and, in most cases, intend to buy. High priority ensures these queries land here rather than in the Generic or Catch-all campaigns.

Setup: new Standard Shopping campaign; priority set to High; all products from the feed included; daily budget sized to cover expected brand traffic (usually £5-£20/day for small-mid UK eCommerce). Bid strategy: Max Clicks with a manual CPC cap, or Max Conversions once you have 15+ brand conversions/month.

Negatives: none required if this is the highest-priority campaign - everything else in the account is set to Medium or Low, so brand queries naturally land here. In practice we add a small campaign-level negative list of terms we know we don't want to serve on at all (e.g. "review", "complaint" for reputational reasons).

Expected outcome: 40-60% of Shopping revenue at 60-80% lower CPC than the Generic tier. Brand traffic is the cheapest converting traffic in most accounts and warrants a dedicated tier.

One practical note: because Tier 1 has no negatives blocking it, it is technically eligible to serve on almost any query in the account. In our experience this rarely causes a problem in practice, because generic and long-tail search terms simply don't contain the brand token, so the ad is never triggered for those queries in the first place - priority is the tiebreaker for shared eligibility, not a magnet that pulls in unrelated traffic.

Tier 2: Generic priority (medium) - setup + negatives

The Generic tier captures mid-funnel category and product-type queries - "leather sofa", "waterproof running jacket", "gold hoop earrings". Priority set to Medium so brand queries route up to Tier 1 rather than land here.

Setup: new Standard Shopping campaign; priority Medium; all products; Target ROAS bid strategy set at your margin threshold (typically 4.0-5.0x for UK eCommerce). Daily budget sized to be the account's primary spend engine - usually 60-70% of total Shopping budget lives here.

Negatives: full brand list (exact, misspellings, brand-plus-product variants) added at campaign level to push brand queries up to Tier 1. Aim for 10-25 brand negatives to catch the long tail.

Expected outcome: 30-45% of Shopping revenue, ROAS aligned to margin target.

This is usually the tier that carries the account's core volume, and it's the one worth watching most closely in the Search Terms report. New generic phrases that convert well here are exactly what feed the Tier 3 negative list - so treat Tier 2's search terms report as a live source, not a one-off audit.

Tier 3: Long-tail catch-all (low priority) - setup

The Catch-all tier picks up everything else - long-tail queries, informational-adjacent queries, anything the Brand and Generic tiers have negatived out. Priority Low so nothing else in the account is displaced.

Setup: new Standard Shopping campaign; priority Low; all products; Target ROAS bid strategy set 20-30% above the Generic tier's target (this traffic is more speculative, so demand higher return per pound). Daily budget: usually 10-20% of total Shopping budget.

Negatives: both the brand list (as per Tier 2) and the top-performing generic query set from Tier 2 as phrase negatives, so those queries route to Tier 2 rather than land here. Refresh the generic negative list quarterly from Tier 2's Search Terms report.

Expected outcome: 10-20% of Shopping revenue at higher ROAS than Tier 2 (higher-margin queries only survive the higher target).

Some accounts run Tier 3 at very low budget deliberately - its job isn't to scale volume, it's to mop up impressions that would otherwise be lost entirely, at a return threshold that protects margin. If your catch-all tier consistently misses its Target ROAS, it's usually a sign the generic negative list needs refreshing rather than a signal to lower the target.

Negative-keyword flow - how queries route between tiers

Priority is one half of the routing mechanism; negatives are the other. Without negatives, priority alone would route every eligible query to Tier 1, wasting the framework. The rule the whole flow rests on: each tier's negative list contains the queries it wants to push to a higher-priority tier.

Brand queries: only Tier 1 has no brand negatives, so they land there. Generic queries: Tier 1 could technically serve but Tier 2's mid-funnel targeting is a better match; add generic phrase negatives to Tier 1 for the very-generic terms (rare in practice). Long-tail: only Tier 3 has no generic negatives, so untagged long-tail lands there.

Use the toggle below to see exactly which tier a given query type routes to, and why:

The flow is self-reinforcing: as Tier 2's Search Terms report surfaces new high-performing generic phrases, add them to Tier 3's negative list. As Tier 1's brand list grows (new product-line names, common misspellings), push those same additions to both Tier 2 and Tier 3. Maintaining the flow is a quarterly task, not a one-off build.

Bidding strategy per tier

Different query intents warrant different bid strategies. Applying one bid strategy to the whole account is the single biggest efficiency loss we see on inherited accounts:

• Tier 1 (Brand). Max Clicks with manual CPC cap for early accounts; Max Conversions once you have 15+ brand conversions/month. Do not use Target ROAS on brand - brand queries are so cheap that Smart Bidding under-serves them.
• Tier 2 (Generic). Target ROAS at your break-even-plus-margin threshold. Typically 4.0-5.0x for UK eCommerce, adjust to margin structure.
• Tier 3 (Catch-all). Target ROAS +20-30% vs Tier 2. Higher target = only high-margin, high-intent long-tail queries survive.

A common failure mode is applying Target ROAS uniformly across all three tiers "for consistency". Brand queries are so cheap and so close to guaranteed conversion that a Target ROAS strategy actively throttles spend on them - the algorithm sees a query it could win cheaply and, because the target is calibrated for generic traffic, under-bids. The fix is always to give brand its own, simpler bid strategy rather than trying to force portfolio consistency.

Budget split calculator

Use the sliders below to model how your monthly Shopping budget should split across the three tiers, based on the typical revenue shares seen across client accounts.

Real setup examples (3 client cases)

Three anonymised examples from live UK client accounts, all running variants of the 3-tier framework:

The consistent pattern across all three: blended ROAS improves not because more budget is spent, but because each tier's budget is now matched to a bid strategy suited to its query intent. No account saw a budget increase alongside the ROAS gain - the improvement is structural, not spend-driven.

Google Ads Editor template (downloadable)

Our starter template ships as a Google Ads Editor-compatible XML bundle - three campaigns pre-configured with the priority tiers, brand negatives auto-populated from the name you enter, and Target ROAS placeholder values ready to overwrite with your own margin targets.

Import the file into Google Ads Editor via File → Import, map the campaigns to your account, replace the placeholder budgets and Target ROAS values, then populate the generic negative list in Tier 3 from your Tier 2 Search Terms report before you post the changes live.

When 3-tier beats PMax

The 3-tier framework outperforms PMax in three specific cases: small single-vertical catalogues (<200 SKUs) where per-tier bid control drives more efficiency than automation; heavily seasonal catalogues where you need to gate specific SKUs up or down without disrupting learning; accounts where transparency (search-term visibility, per-product control) matters more than scale.

Contrary to the "PMax replaces everything" narrative pushed by some agencies, we've found Standard Shopping's 3-tier structure specifically beats PMax when the catalogue is small and single-vertical - PMax's automation needs volume and signal diversity to earn its keep, and a 150-SKU single-category store simply doesn't generate enough of either. In those accounts, the manual control of the 3-tier framework consistently outperforms PMax's automation on blended ROAS.

Everywhere else, PMax usually wins or ties. Full decision framework in PMax vs Standard Shopping.

Common structure mistakes

• One campaign at Medium priority "to keep it simple". Loses per-tier bid control and lets brand traffic pay generic rates.
• Different product groups per tier. Every tier should include every product; routing is by negatives, not by product-group filtering.
• No refresh cadence on generic negatives in Tier 3. Search terms drift; refresh quarterly from Tier 2's Search Terms report.
• Target ROAS on the Brand tier. Smart Bidding under-serves brand queries when a return target is set. Use Max Clicks or Max Conversions.
• Running 3-tier on <£3k/month total Shopping budget. Split too thin; collapse to Tiers 1 + 2 only.

Frequently asked questions