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.
Capturing the demand that already exists in Spanish search, starting with a Merchant Center feed that is actually fit to compete.
Delivered remotely for brands across Madrid and Spain.
The demand you capture in Spain is already in a comparison mindset before it reaches you. Spanish shoppers are heavy marketplace users, so a Shopping result sits in a grid next to Amazon.es and El Corte Inglés on the same query. That does not make the channel unwinnable — it makes the feed the whole game, because the feed is what decides which queries you appear on and what you look like when you get there.
So the work starts in Merchant Center rather than the campaign builder. Titles rewritten in the Spanish a buyer actually types, which is frequently not the Spanish on your product page. EAN and GTIN gaps closed, which is where perfumery and cosmetics catalogues tend to be weakest and where the absence quietly kills your eligibility. Product types and custom labels built around margin, stock cover and season. Disapprovals cleared at source instead of appealed one by one — cosmetics and supplement catalogues generate policy flags in bulk and the fix is nearly always in the data, not the appeal.
Then structure. Brand separated from non-brand, because in a category where a Madrid brand has built a following through press or a founder profile, branded search will flatter the whole account until you split it out. The catalogue sits in Shopping and Performance Max, with asset groups cut by margin band rather than one blanket group. Search handles the intent a catalogue feed has no way to answer. Bid targets are the final adjustment, and every change to one comes with a written reason.
Three things make a Spanish feed behave differently from the one you would build elsewhere. First, shipping and returns annotations do real work here because domestic delivery expectations are quick and buyers screen on them in the Shopping grid — and because a feed that quotes one national rate while your Canaries, Balearics, Ceuta and Melilla orders cost something entirely different will attract clicks you lose money on. We set shipping in the feed by destination rather than one flat national figure. Second, the calendar hits Shopping harder than any other channel: auction pressure and price competitiveness swing sharply through the January and summer rebajas, and the gifting run extends to 6 January, so a Reyes promotion window needs merchant promotions and sale price annotations live before Christmas budget is exhausted, not after. Third, August. Search volume in a city that empties does not justify a flat monthly budget, and we would rather bank the money for the autumn ramp than spend it into an audience that is at the coast.
The same standard of work we run for every client — applied to a Madrid 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 Madrid 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.