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.
Google captures demand that already exists — in Orlando that means feed health on licensed goods and query hygiene against a mountain of research traffic.
Delivered remotely for brands across Orlando and Florida.
Google is the capture channel. Nobody types a query for your product unless they have already decided they want it, which makes the account a distribution problem rather than a persuasion one — and on Shopify, distribution runs through Merchant Center, not the campaign builder. That is doubly true in Orlando, where the categories that dominate are the ones Google's policy engine watches most closely.
Licensed and fan merchandise attracts the counterfeit and trademark policy layer. Disapprovals here rarely announce themselves; a portion of the catalogue simply stops serving and the account looks like it has a bidding problem. Limited runs and small batches routinely ship without GTINs, which quietly reduces eligibility. Costume and performance wear collides with apparel attribute requirements — size, colour, age group, gender — that most Orlando merchants have never fully populated. Feed work is not a preamble to the account here, it is the account.
Structure comes second and query hygiene third, and in this metro the third one is unusually expensive to skip. Orlando categories sit next to enormous volumes of research intent — people planning trips, comparing events, looking up what a thing is, hunting for images and free downloads. Left unmined, that traffic eats non-brand budget every week. We separate brand from non-brand so one stops flattering the other, split Shopping and PMax asset groups by margin and stock cover, and mine search terms weekly into a maintained negative library.
Two structural facts shape a Central Florida feed. First, stock cover is volatile: limited runs and convention exclusives sell out fast, and a feed that keeps promoting an unavailable SKU burns budget and risks a price-and-availability mismatch disapproval. We build custom labels for stock cover and release status so bidding automatically steps back off thin inventory instead of waiting for someone to notice. Second, seasonality is not the national curve. Pool, patio and outdoor categories sell here in February. Hurricane season from June through November means fulfilment can pause with little notice, so we set written rules in advance for stepping spend down when shipping promises cannot be kept — a paused campaign costs you a day, a wave of undeliverable orders costs you the reviews. Where you hold real local stock, we also feed local inventory ads so trade buyers a few miles up I-4 can see availability before they search a distributor.
The same standard of work we run for every client — applied to a Orlando 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 Orlando 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.