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 buyer standing in a Pasadena yard types a manufacturer part number into their phone. Either your Merchant Center feed can match that string or the distributor down the road collects the click.
Delivered remotely for brands across Houston and Texas.
Google is the channel where Houston demand already exists and someone else is currently taking it. A maintenance planner needs a seal kit by Thursday. A clinic coordinator needs the same gloves they bought in April. A homeowner in Kingwood has just watched a forecast and typed 'portable generator near me'. Nobody in that list needs persuading — they need to find you before they find the counter down the road.
Which means the account is won or lost in Merchant Center, not in the bidding tab. Houston catalogues arrive with problems Google punishes quietly: industrial SKUs that have never had a GTIN and need brand and MPN handled properly instead of a blank field, titles that read as an internal stock code rather than the phrase a buyer types, aerosols and lubricants and chemical products flagged under hazardous-goods policy, and pressure or medical items disapproved for claims nobody has read the diagnostics on in a year. We clear that at source before anything else happens.
Then structure. Brand gets separated from non-brand so a distributor with forty years of name recognition on the Ship Channel stops mistaking loyalty for acquisition. Shopping and Performance Max carry the catalogue, split by margin band rather than one asset group over 12,000 parts. And Search covers what a feed cannot reach — the cross-reference lookups, the 'equivalent to' queries, the application-level searches from a buyer who knows the job but not the part number.
This is the largest energy employment market in the world, and it shows up in your negative keyword list before it shows up anywhere else. Queries like welder, technician, apprentice, salary, training, certification and hiring attach themselves to industrial product terms constantly, and an untended account in Houston bleeds a meaningful share of non-brand budget to people applying for jobs and studying for certifications rather than buying anything. Sitting next to it is a training-and-education layer from San Jacinto College and the community college trade programmes, and a heavy DIY overlap in tools and parts. That is the first thing we mine. The second is the calendar: Offshore Technology Conference week at NRG Park in May reliably lifts commercial intent around instrumentation and safety gear, and June through November a Gulf system produces a search spike in generators, pumps, tarps and water storage inside hours — Shopping is where that spike lands, so the feed labels and campaigns are built in April and left paused, not written while the cone is on the news.
The same standard of work we run for every client — applied to a Houston 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 Houston 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.