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.
Capturing the demand Kansas City brands have already earned — feed health, brand separation and query mining, not audience guesswork.
Delivered remotely for brands across Kansas City and Missouri.
Kansas City brands generate an unusual amount of search intent offline, and the search box is where it lands. Someone eats at a barbecue joint, buys a bottle at the City Market, sees a rub on a competition table at the American Royal, or gets a gift set from a coworker, and then goes searching. That demand converts at rates paid social cannot touch, and the entire job of a Google account here is to intercept it cleanly and then find the non-brand demand sitting next to it.
Which means the work starts in Merchant Center, not the campaign builder. Food and supplement catalogues attract disapprovals more than most — health and nutrition claims, alcohol restrictions on craft beverage, missing GTINs on private-label products, restricted ingredient flags on pet supplements. A feed with a quarter of its SKUs suppressed is a budget problem disguised as a performance problem, so we clear disapprovals at source and rewrite titles to lead with terms people actually search: style, heat level, format and pack size.
After that it is structure and hygiene. Branded demand goes into its own campaign with its own budget and target so non-brand performance stops hiding behind it. Shopping and Performance Max asset groups get split by margin band and product type rather than dumped into one catch-all, using custom labels for margin, stock cover and seasonality. And every week someone reads the search terms and the PMax category report, because on a category this broad the money leaks into recipe research, restaurant queries and job listings within days.
The Kansas City demand curve is not gentle. Grilling and smoking searches climb through spring, peak around summer holidays, get a second lift through the autumn competition season, and then the whole category converts into gifting from Thanksgiving through December — a period where a corporate buyer looking for forty gift sets is a completely different query and a completely different landing page from a consumer buying one bottle. We build custom labels for seasonality and stock cover so budget moves with that curve instead of behind it, run gift-set and corporate-gifting campaigns as separate lines with their own landing pages and their own cut-off messaging, and hold shipping deadline copy in the ad extensions where it belongs. Ground coverage from this metro also gives you a genuine delivery-speed message to put in front of a late-December searcher, and unlike most claims in this category it is one you can actually keep.
The same standard of work we run for every client — applied to a Kansas City 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 Kansas City 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.