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.
Search is where you collect demand that already exists — and for a manufacturer here, that demand is mostly people typing your part numbers.
Delivered remotely for brands across St. Louis and Missouri.
Google's job in this market is capture. Somebody already knows what they need — a replacement valve, a specific boot in a specific width, a case of the food their family expects at Christmas — and search is where that decision surfaces. Which is why the account work starts in Merchant Center rather than the campaign builder. If the feed is wrong, everything downstream is guesswork with a budget attached.
For spec-driven catalogs, feed quality is mostly identifier quality. MPN and GTIN populated properly, brand attributes consistent, titles that lead with the term buyers actually type instead of an internal product name, and attributes for size, material and compatibility that let Shopping match a specific query. Custom labels for margin band and stock cover matter here too, because a distributor's catalog contains items you want to clear and items you want protected.
Structure is the second problem, and in this region it has an odd wrinkle: your own dealers often bid on your brand name. That inflates your branded costs and makes the account look competitive when it is really just internal friction. We separate brand from non-brand before judging anything, work the channel conflict with you where it can be worked, and mine the search terms weekly — because a part-number catalog attracts a lot of clicks from people looking for a manual, a warranty claim or a job.
A store shipping from this region reaches a very large share of the US population on one- to two-day ground at costs a coastal competitor cannot match, and that is an auction advantage most local accounts never use. It shows up in three places. In the feed, as accurate delivery estimates and free-shipping annotations that widen your listing and lift click-through. In geographic bid adjustments, where the states you reach overnight can carry a higher target because your fulfilment cost per order is genuinely lower there. And in ad copy, where a stated delivery day beats a generic 'fast shipping' claim every time. We also plan around the local demand shape rather than a national one — industrial and B2B search here collapses over the holidays while regional food and gifting queries triple in the same weeks, so a single flat monthly budget is wrong for both.
The same standard of work we run for every client — applied to a St. Louis 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 St. Louis 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.