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.
A Miami buyer types the query in whichever language they think in, and half your search terms report stays invisible until somebody actually reads the Spanish half.
Delivered remotely for brands across Miami and Florida.
Google is where you meet demand that already exists, and in Miami that demand arrives in at least two languages. The same woman shopping a cover-up in Kendall might type it in English on Tuesday and in Spanish on Saturday, and the account we inherit almost always has keywords, ad copy and negatives built for only the first of those. Shopping quietly backfills the rest from the feed, which means your Spanish query set is being served by whatever your product titles happen to say rather than by anything anyone decided.
So the work starts in Merchant Center, not the campaign builder. Titles rewritten to lead with the term buyers actually search — including the Spanish term where the volume justifies a second feed — GTIN and identifier gaps closed, and per-market feeds carrying the right currency, availability and price for Puerto Rico and any Latin American market you serve. Two of Miami's biggest categories, supplements and clinical skincare, also sit directly under Google's healthcare and claims policies, so disapprovals here are a structural risk rather than an occasional annoyance. We fix them in the product data instead of resubmitting and hoping.
Then structure, and this city has a specific reason to care about it. A lot of Miami brands are creator-founded, so branded search volume is inflated by an audience that arrived from Instagram and would have bought anyway. Blend that into one campaign and your account looks healthy while non-brand quietly does nothing. We separate the two, then mine queries weekly in both languages — because the Spanish search term report is where the wholesale traffic hides, and 'al por mayor' clicks on a retail ad cost the same as any other.
Miami is one of the few US metros where the Spanish-language SERP carries real transactional volume, and Google will happily match your English Shopping listings to it whether you planned for that or not. Two things follow. First, the negative library has to be bilingual: Doral's wholesale and re-export trade generates a steady stream of 'mayorista', 'al por mayor' and 'distribuidor' searches, and those buyers click consumer ads, convert at nothing and skew your tROAS. Second, geography is not one setting. Puerto Rico is a US-targetable geo with its own shipping economics, and Colombia or Mexico need their own feed, currency and landed-cost handling before a single peso of budget goes near them. We also plan budget against the local demand curve rather than a national one — resort and swim non-brand queries climb into the winter high season here while much of the country is searching for coats.
The same standard of work we run for every client — applied to a Miami 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 Miami 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.