The feed decides what can be shown at all
A product missing a GTIN, carrying a disapproval or sitting in the wrong Google category cannot be matched to a query, however good the campaign or the creative is.
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Blended ROAS hides the products losing you money. Oneskai rebuilds product feeds, category architecture and measurement so growth decisions are made on contribution margin instead.

eCommerce performance is limited less by ad creative than by data quality and margin visibility. Feed accuracy decides what can be shown, category architecture decides what is discovered, and margin reporting decides whether scaling builds profit.
A product missing a GTIN, carrying a disapproval or sitting in the wrong Google category cannot be matched to a query, however good the campaign or the creative is.
Descriptive searches resolve to collection pages, not product pages. Where those are thin templates over a product grid, the demand goes to someone else.
Blended ROAS averages a 70% margin hero product with a 25% margin filler. Scaling on that average buys revenue at a loss and reports it as success.
A meaningful share of the catalogue is disapproved, missing identifiers, or described with manufacturer boilerplate — so it never reaches the auction.
Category and collection pages are thin, while faceted navigation generates near-duplicate URLs that spend crawl budget on pages with no commercial job.
One ROAS target across every margin tier, branded revenue counted as acquisition, and discount depth treated as growth rather than margin transfer.
Consideration is compressed into hours or days, and price comparison happens in another tab while your page is still open.
Triggered by a replacement need, a seasonal moment or an ad. The query is descriptive rather than branded, which is why category page quality decides whether you enter consideration.
Buyers compare on price, delivery speed, returns policy and review volume at once. Missing delivery information removes you from the set more often than price does.
Reviews, sizing, materials and returns terms. Thin product content sends the buyer to a marketplace to validate, where a competitor often captures the sale.
Unexpected shipping cost, forced account creation and limited payment options dominate abandonment — all fixable, and none of them advertising problems.
Retail economics depend on the second order. Lifecycle flows, replenishment timing and post-purchase content decide whether acquisition cost is recovered once or many times.
Feed, search and paid media matter most when they work as one system — and when the reporting underneath them tells you which products are actually worth scaling.
Make the catalogue eligible, correctly categorised and richly enough described to be matched to a query.
Feed audits · GTIN remediation · Category mapping · Title structure · Disapproval alertingBuild collection pages as ranking assets and control indexation so crawl budget reaches commercially useful pages.
Category SEO · Faceted indexation · Product schema · AEO · GEOScale demand across Google and social surfaces against margin-banded targets rather than one blended number.
Performance Max · Shopping · Paid social · Remarketing · Performance creativeRemove the validation and checkout friction that costs more sales than price does.
Shopify & Shopify Plus · Headless builds · UI/UX · Checkout CRO · ExperimentationRecover acquisition cost on the second and third order instead of buying every customer once.
Email · SMS · Replenishment flows · Post-purchase journeys · Win-backReport on contribution margin after ad cost, with returns and fulfilment attributed to the channel that caused them.
GA4 · Contribution-margin reporting · Returns by channel · New-customer CAC · LTVWe do not begin with a fixed channel package. We assess the catalogue, the customer journey, current performance and the margin data available before deciding where to focus.
Catalogue diagnostics, identifier and attribute remediation, category mapping and continuous disapproval monitoring.
Category architecture, faceted indexation control, product schema and internal linking.
Margin-banded targets, branded and non-branded separation, media mix and product segmentation.
Delivery and returns clarity, product content depth, checkout friction and payment options.
Post-purchase flows, replenishment timing, customer education and win-back campaigns.
Our retail experience concentrates on mid-market direct-to-consumer and multi-brand retailers on Shopify and headless stacks. We are not the right partner for enterprise marketplace sellers operating primarily on Amazon, and we will say so early rather than take the engagement.
If your growth constraint is Amazon buy-box strategy rather than owned-store performance, a specialist marketplace agency will serve you better than we will.Oneskai retail scope statement
Anonymised feed diagnostics and margin-reporting structures from live accounts can be walked through on a call.
Ask to see oneFull catalogue diagnostic — disapprovals, missing GTINs, category mapping, attribute coverage and title structure — with margin data joined to product records.
Branded and non-branded separated, contribution margin wired into reporting, returns and fulfilment cost attributed by channel.
Margin-banded campaign targets and product segmentation, then collection pages rebuilt as ranking assets with indexation under control.
Post-purchase flows to recover acquisition cost, continuous feed monitoring, and quarterly discount-depth review.
Clear answers to the commercial and delivery questions that shape a useful engagement.
Because the feed decides eligibility. A product with a missing GTIN, a disapproval or the wrong Google category cannot be matched to a query no matter how good the creative is. In most catalogues we audit, a meaningful share of SKUs are ineligible or under-described, so feed remediation returns faster than any campaign change.
It is worth running on a clean feed with reliable margin signals, and actively harmful on a broken one. PMax optimises toward the conversion data it receives, so if branded traffic is counted as acquisition and low-margin products are treated as equal to high-margin ones, it will scale exactly the wrong thing very efficiently.
Discounting reliably moves revenue and frequently destroys margin, because a large share of redemptions come from customers who would have bought anyway. We model discount cost as an acquisition expense and report discount depth as a percentage of revenue so the trade-off is visible rather than assumed.
Feed and measurement work pays back at almost any size. Category and faceted SEO becomes materially valuable above roughly a few hundred SKUs, because below that the number of viable category queries is small enough that a handful of well-built pages covers the opportunity.
Both. Most of our retail work runs on Shopify and Shopify Plus, with a smaller share on headless builds using commerce APIs. Platform matters less than data access — what we need is reliable margin data at SKU level and the ability to control indexation and templates.
Faster than most retail work. Disapproval and eligibility fixes can affect impression volume within days of the next feed fetch. Title and attribute improvements typically show within two to four weeks. Category page SEO is the slower half, generally three to six months to meaningful non-branded revenue.
A feed and margin audit covering catalogue eligibility, category mapping, attribute coverage and contribution margin by product tier — with the disapprovals and under-served SKUs listed individually.