Merchant Center & Feed Rebuild
Disapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.
Demand that already exists, captured through a Merchant Center feed written in French rather than translated into it.
Delivered remotely for brands across Paris and France.
By the time a French buyer reaches a search box the decision is made, and the only open question is who supplies it. On Shopify that makes the feed, not the campaign builder, the place the account is won or lost, and a French feed fails in ways an English one does not. Titles carry the wrong noun for the category. Accents are inconsistent between the title and the description. Size and material attributes are in English on a French product. Colour is submitted as a marketing name rather than a colour anyone searches for. Each of those quietly removes you from queries you should be eligible for, and no amount of bid management fixes it.
Identifier coverage is the second recurring problem, and it splits by category in a very Paris-specific way. Beauty and fragrance carry GTINs and are held to them strictly; missing or wrong barcodes take products out of Shopping entirely. Independent fashion, leather goods, made-to-order pieces and one-of-one vintage genuinely have no GTIN, and the feed has to declare that correctly with brand and MPN rather than leaving the field empty and hoping. Getting that distinction right across a mixed catalogue is usually the single biggest lift available before anything is restructured.
Then structure. Brand and non-brand separated, which matters more when your brand name is also a French common noun and the campaign is quietly harvesting people searching for the word rather than for you. Shopping and Performance Max take the catalogue, asset groups split by contribution margin and weeks of cover rather than one group for everything. Search covering the phrasing that never lines up with a product attribute. And query mining every week, because a French search-term report fills up with research, definition and second-hand queries that no default negative list catches.
Most accounts are managed as though promotion is continuous, which is not how France works. Discounting concentrates into the nationally fixed winter and summer windows, which produces a predictable and severe change in the auction: competitors who sat out the rest of the year arrive at once, click prices move, and sale-price annotations start appearing next to listings that did not carry them last week. That is plannable rather than reactive. We build the feed's sale-price and promotion handling ahead of each window so annotations appear the day it opens rather than three days in, hold target return on ad spend steady into the window instead of chasing the first two days of noise, and treat the weeks immediately after as their own phase where budget comes off before it burns against exhausted demand. Between windows the account is run at full margin on non-brand, which is the whole reason a fixed sale calendar is an advantage: the other ten months are genuinely full price, and the targets should say so. Country-level splits sit on top, because a euro of French non-brand and a euro of Belgian or German non-brand rarely perform alike and should not share one budget.
The same standard of work we run for every client — applied to a Paris brand’s realities.
Full service detailDisapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.
Branded demand isolated into its own campaign, budget and target so non-brand performance becomes visible. Competitor conquesting runs as a separate line, judged separately.
Asset groups split by margin band and product type instead of one catch-all, with listing-group bids, product exclusions and brand-term controls applied wherever PMax still allows them.
A weekly pass over search terms and PMax category reports, with a maintained shared negative library so budget stops leaking into research, DIY and job-seeker queries.
Merchant promotions, sale price annotations, shipping and returns policy setup, product ratings, and local inventory ads where you have stores worth feeding.
Targets set from margin per product group rather than a platform default, moved in controlled increments, with a written reason attached to every bid and budget change.
We do not work off a rate card. Every Paris engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedMerchant Center diagnostics, attribute coverage, campaign overlap and wasted spend scored against ninety days of search terms. You get the findings whether you hire us or not.
Titles, attributes, product types and custom labels rebuilt before any campaign work. A perfectly structured account on a bad feed still shows the wrong products to the wrong queries.
Brand, non-brand, Shopping, PMax and Search rebuilt with hard budget boundaries and a shared negative library, so each line answers a different commercial question.
tROAS targets derived from contribution margin by product group and applied gradually, so the account keeps its learning instead of resetting it every Monday.
Weekly query mining, monthly feed reviews, then expansion into the categories the search data says you can profitably win. Nothing scales before the query set is clean.
Anonymised under NDA. Figures pulled from the client’s own analytics.
~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus
Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
“Six thousand products and a Shopping feed nobody had touched since it was first generated — a third of it was disapproved and we had no idea. They rebuilt the feed off our real product data, fixed the GTIN and size attributes, and split brand off from non-brand so I could finally see what we were actually paying to acquire. They also cut the broad 'baby clothes' terms that were eating a quarter of the budget on people who were nowhere near buying. Spend is roughly flat and non-brand search revenue has close to doubled.”
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.