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.
Search and Shopping for Stockholm brands, run as a feed and distribution problem rather than a bidding hobby.
Delivered remotely for brands across Stockholm and Sweden.
Somebody has already settled on a merino base layer or a wall lamp in brushed brass; the only open question is whose they buy. That makes a Swedish account a distribution problem, and the distribution runs through Merchant Center. So we start in the feed: titles rewritten to lead with the compound noun a Swedish buyer actually types rather than your internal product name, missing GTINs and MPNs filled in, product types and custom labels shaped around margin and weeks of cover, and disapprovals cleared at the source instead of appealed one by one.
The multi-market part is where Swedish accounts get expensive without anyone noticing. A Stockholm brand selling into Norway, Denmark, Finland and Germany needs feeds that reflect the right currency, the right availability and the right landed price per country — and Norway sits outside the EU, so the price a Norwegian buyer sees has to account for that honestly or you pay for clicks that abandon at the delivery step. We build the feed per market off Shopify Markets rather than pushing one Swedish feed at five countries and hoping the currency conversion is close enough.
Structure comes after the feed. Brand pulled out of non-brand so one cannot prop the other up and the reporting stops flattering itself — this matters disproportionately for Stockholm brands with strong domestic recognition, where a large share of paid revenue is people who were going to type your name anyway. Shopping and Performance Max carry the catalogue, Search picks up what the feed can never be eligible for, and query mining runs continuously because Swedish search terms drift in ways an English-configured negative list never catches. Bidding moves only once all of that is in place.
The Swedish paid search year has two extremes and one structural quirk. Black Week has become disproportionately large here relative to the size of the market, which means auction prices in Swedish categories rise sharply for a stretch where every competitor is bidding at once — budgets set on a flat monthly basis get spent at the worst rate of the year while the brand that planned for it holds share. Then mellandagsrea, which is a genuine second peak rather than clearance mopping up, and which needs its own campaign and feed treatment rather than the Black Friday assets left running. At the other end, July: a large share of the country is on semester, converting traffic thins out, and an account left on autopilot burns four weeks of budget teaching a smart bidding strategy about a shopper who does not exist. The structural quirk is that in Sweden you are frequently bidding alongside price comparison destinations that also run paid inventory on your category terms, so the realistic goal on generic head terms is often profitable share rather than dominance, and the margin is made on long-tail and non-brand queries a comparison grid handles badly.
The same standard of work we run for every client — applied to a Stockholm 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 Stockholm 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.