Shopify PPC
The Shopify PPC agency that fixes the feed and tracking first
Google Ads, Shopping, and Performance Max run against a rebuilt product feed, conversion data you can reconcile against Shopify, and landing pages that hold the traffic you paid for.
- Break-even ROAS derived from your actual gross margin
- Product feed rebuilt around what people search, not what reads well on a PDP
- Branded search separated and tested for incrementality
- Flat fees — not a percentage of your ad spend

Why accounts plateau
Most Shopify PPC problems are not in the ad account
Most underperforming Shopify paid search accounts are not badly managed inside the ad platform. They are managed only inside the ad platform. The campaign structure is reasonable, the bids are automated, the negatives are being added — and performance is capped by a product feed with weak titles, a conversion setup that double-counts, and PDPs that lose the traffic after it arrives.
That is why we treat Shopify PPC as three connected systems rather than one. The feed determines what you can compete for. The measurement determines whether your decisions are based on anything real. The landing experience determines what the click is worth. The ad account sits on top of all three and can only be as good as they are.
It also means being disciplined about what paid search is actually adding. Branded search, Performance Max absorbing demand you already had, and platform-attributed revenue that would have arrived anyway all make dashboards look better than the business does. We would rather report a smaller honest number and be trusted with the budget.
The starting point is always margin. Break-even ROAS comes from gross margin, and a brand at 35% margin should not be run to the same target as one at 70%. Getting that number right changes every decision downstream from it.
What we usually find
The patterns behind a stalled Shopify paid search account
These come up in nearly every account audit. None of them are exotic, and most of them are cheaper to fix than the spend increase usually proposed instead.
A product feed left at Shopify's defaults
Titles written for a product page rather than for search, missing GTINs and product types, and images that lose against competitors in the shopping carousel. Shopping and Performance Max match on feed content, so this quietly caps everything above it.
Conversion tracking nobody has reconciled
GA4, Google Ads, Meta, and Shopify all reporting different revenue, with no documented explanation of why. Bidding algorithms optimise toward whatever signal they are given; if the signal is wrong, the automation confidently makes things worse.
Performance Max absorbing branded demand
An excellent reported ROAS that is substantially traffic you already owned. Without brand exclusions and separate branded campaigns, PMax will take credit for demand your marketing generated elsewhere.
Everything run to one ROAS target
Prospecting, retargeting, branded, and shopping held to the same number, which guarantees over-investment in the easy wins and under-investment in the ones that actually grow the business.
Search terms nobody reads
Broad match with automated bidding and no negative keyword discipline is an efficient way to fund searches that will never convert. This is unglamorous work and reliably one of the fastest returns available.
Traffic landing on pages that cannot convert it
High-intent clicks arriving at a slow PDP with thin imagery and unclear delivery information. The account is not the constraint; the page is. Spending more on the account in this state just buys the same problem at scale.
Capabilities
What we run
Paid search on Shopify is four systems working together — feed, measurement, account, and landing experience. We work on all four.
Google Search campaigns
Intent-led structure around how people actually search for your category, with match type and negative keyword discipline that keeps spend on qualified queries.
Google Shopping and Performance Max
Feed-driven campaigns with deliberate brand exclusions, asset group structure by margin and category, and enough separation to see what is actually working.
Product feed optimisation
Titles rebuilt around searched attributes, product types and categories, GTIN coverage, custom labels for margin-based bidding, and image quality. Usually the highest-return early work.
Microsoft Ads
Google campaigns extended into Microsoft with their own negatives and bid management rather than imported and forgotten.
Conversion tracking and measurement
One canonical conversion definition, server-side tagging where it helps, deduplication across platforms, and a documented reconciliation against Shopify's own order data.
Margin-based bidding
Break-even ROAS derived from real gross margin, with custom labels so high-margin and low-margin products are not bid to the same target.
Incrementality testing
Geo holdouts and brand bidding tests where spend justifies them, to distinguish revenue paid search created from revenue it merely recorded.
Landing page and PDP work
Conversion work on the pages paid traffic lands on, because half of paid search performance is decided after the click.
Creative and asset testing
Responsive search asset coverage, shopping imagery, and PMax asset groups tested systematically rather than refreshed when someone gets bored.
Account audits
Structure, search terms, bidding, feed, tracking, budget allocation, and landing alignment — with prioritised findings you keep regardless of what happens next.
Budget and forecast modelling
Where incremental spend can go at a ROAS above break-even, and where it cannot, so budget conversations are grounded rather than aspirational.
Profit reporting
Reporting against contribution where margin data is available, alongside the platform numbers and an explanation of where they diverge.
Process
How we take over an account

Margin and measurement audit
Before touching campaigns: gross margin by category, break-even ROAS, and whether the conversion data can be reconciled against Shopify. Everything downstream depends on these being right.
Account and feed audit
Structure, search terms, negatives, bidding status, budget allocation, and a full feed quality review. Findings prioritised by expected return rather than by how easy they are to fix.
Tracking remediation
Conversion definitions, deduplication, server-side tagging where it improves durability, and a documented reconciliation. Done before restructuring, because restructuring on bad data wastes the restructure.
Feed optimisation
Titles, product types, GTINs, custom labels, and imagery. Frequently produces more improvement in the first month than any change inside the ad account.
Restructure and launch
Campaign architecture built around intent and margin, with branded demand separated so it can be measured rather than absorbed.
Learning period discipline
Deliberate restraint while automated bidding stabilises, with obvious waste fixed immediately and structural changes held until the data supports them.
Landing page work
Conversion improvements on the pages paid traffic reaches, run as tests where volume allows rather than as opinions applied directly.
Ongoing optimisation and incrementality
Search term review, budget reallocation against margin, creative testing, and periodic holdout tests to keep the reported numbers honest.
How we differ
Two ways to run a Shopify PPC account
The column on the right is not incompetence — it is the standard model. It just stops working once the easy inefficiencies are gone.
Sectors
Where the economics differ
Break-even ROAS, repeat rate, and returns behaviour vary enormously by category, and bidding should reflect that.
Fashion and apparel
High competition, heavy returns, and strong seasonality. Returns-adjusted margin rather than gross margin is the number that should drive bidding here, and it frequently is not.
Beauty and personal care
Repeat purchase economics justify a lower first-order ROAS, provided the repeat rate is actually measured rather than assumed from a category benchmark.
Home and furniture
High AOV, long consideration, and few conversions per month — which makes automated bidding data-starved and makes upper-funnel measurement genuinely difficult.
Health and supplements
Subscription economics and advertising policy restrictions. Claims review matters as much as campaign structure, because disapprovals cost more than inefficiency.
Food and beverage
Regional delivery limits and perishability mean geographic targeting and feed availability rules carry more weight than usual.
Electronics and technical products
Price-comparison behaviour and thin margins. Feed accuracy and competitive pricing visibility matter more here than creative.
Jewellery and luxury
High AOV with long consideration and heavy branded search. Separating branded from prospecting is essential or the reported ROAS becomes meaningless.
Pet and specialty retail
Strong repeat behaviour and broad catalogs where feed structure and custom labels do most of the useful work.
B2B and wholesale
Long cycles and offline conversion. Lead quality rather than conversion volume is the metric, which requires CRM data flowing back into the ad platforms.
Deliverables
What you get
Scope varies by engagement and spend level. This is the shape of a full paid search programme.

Account management
- Google Search, Shopping, and Performance Max
- Microsoft Ads with independent management
- Search term review and negative keyword programme
- Bid strategy and budget allocation against margin
- Responsive search and PMax asset testing
- Brand exclusion and branded campaign separation
Feed and catalog
- Title and product type optimisation
- GTIN and attribute coverage
- Custom labels for margin-based bidding
- Image quality review
- Feed error monitoring and alerting
Measurement
- Canonical conversion definitions
- Server-side tagging where it improves durability
- Cross-platform deduplication
- Documented reconciliation against Shopify orders
- Break-even ROAS model from gross margin
- Geo holdout and brand incrementality tests
Reporting and conversion
- Contribution reporting where margin data exists
- New versus returning customer mix
- Landing page and PDP recommendations
- Test results with decisions, not just charts
- Monthly review with the reasoning written down
Why Conversion
How we work
We fix the feed before the bids
On Shopify, feed quality caps shopping and Performance Max performance. Optimising bids against a weak feed is optimising the wrong layer, and it is where most accounts we inherit have been stuck.
Measurement before restructuring
Restructuring an account whose conversion data cannot be reconciled wastes the restructure. We fix the signal first, even though it is slower and less impressive to demo.
Branded search reported honestly
We separate branded demand and test its incrementality rather than letting it flatter the blended number. This usually makes our reported ROAS look worse and our advice worth more.
Flat fees, not percentage of spend
Percentage-of-spend pays an agency to recommend spending more. We would rather remove the incentive than explain it away.
The page is in scope
Half of paid search performance happens after the click. We run paid media and conversion work together and will tell you when the constraint is the PDP rather than the account.
Profit, not just ROAS
Where margin data is available we report contribution, because ROAS targets set without reference to margin are how profitable-looking accounts lose money.
Questions
Shopify PPC, answered
What does a Shopify PPC agency do?
How much should we spend on Shopify PPC?
What does a Shopify PPC agency cost?
How long before PPC works?
Is Performance Max right for a Shopify store?
Should we bid on our own brand name?
How does the product feed affect PPC performance?
How do you handle conversion tracking on Shopify?
Do you work on landing pages and PDPs as well?
Google Ads or Microsoft Ads for Shopify?
Can you audit our existing Google Ads account?
How do you report on performance?
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