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.
The country already searches for what New Mexico makes. Google is where you either capture that demand or hand it to a marketplace listing.
Delivered remotely for brands across Albuquerque and New Mexico.
Albuquerque brands sit on something most DTC companies would pay a fortune for: national search demand that already exists and already uses product words. Mail-order green chile. Piñon coffee. Red chile powder by the pound. Biscochitos shipped. Nobody has to be persuaded that the category exists, which makes Google a distribution problem rather than a persuasion problem.
The distribution runs through Merchant Center, and that is where local accounts break. Perishable and food SKUs pick up policy flags on ingredient and health language. One-of-a-kind silverwork has no barcode and gets rejected for missing identifiers. Availability flaps every time a harvest batch sells out, so price and stock mismatches disapprove products in the exact fortnight they were meant to sell. We fix the feed before touching a bid.
Then structure. A New Mexico brand with thirty years of reputation carries enormous branded search from people who already know exactly where they are buying, and if that sits in the same campaign as non-brand it will make a mediocre account look excellent. We split it, so what we are actually paying to acquire becomes visible.
Search terms in these categories are unusually dirty and the cleanup is specific to New Mexico. "Green chile" pulls in recipe hunters, people looking for a restaurant on Central, Hatch Chile Festival traffic, students writing about the Chile Advertising Act, and Albuquerque residents who are going to drive to a roaster rather than pay to have anything shipped. Selling shipped goods into that query set without a maintained negative library means funding other people's dinner plans. So query mining is weekly and it is aggressive, and the shipping-intent modifiers — shipped, order online, mail order, delivered — get their own treatment rather than being left to broad match. Two account-level details follow from geography. Custom labels have to carry shipping weight and margin band, because a spice tin and an insulated frozen case cannot bid on the same logic without the cheap SKU eating the budget. And the account clock runs on Mountain Time while most of the money is in Central and Eastern time zones, so daily budgets pace against a day that is already two hours old when Chicago starts shopping. Both are settings; both are usually wrong when we inherit an account.
The same standard of work we run for every client — applied to a Albuquerque 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 Albuquerque 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.