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 and Shopping for Sacramento merchants — capturing the demand that already exists, at the moment of the season when it exists.
Delivered remotely for brands across Sacramento and California.
The intent is there to be harvested rather than created, and for a Sacramento merchant it is violently seasonal. Garden and outdoor-living demand climbs from February and peaks well before summer. Grower supply searches spike inside application windows measured in weeks. Gift searches for regional food and wine compress into late November and December. A flat monthly budget spends the same amount in a dead week as in the week that decides your quarter, which is the single most common structural fault we find in accounts here.
Before pacing, though, the feed. Merchant Center is where most of the damage lives: missing GTIN and MPN attributes on producer-packed goods, titles that lead with your brand name instead of the varietal or the crop the customer typed, variants uploaded as separate unlinked products, and disapprovals sitting unread. Regulated categories add more — alcohol advertising has its own certification and country and state targeting requirements, and a single misconfigured attribute takes the whole feed down at the worst possible time. We fix these at source rather than papering over them with supplemental feeds.
Then structure. Branded search is isolated into its own campaign and budget so it stops flattering the account — particularly here, where tasting rooms, farmers markets and the September festival circuit send people to Google to look you up by name. Non-brand Shopping and Performance Max asset groups get split by margin band and product type, with custom labels for stock cover so the algorithm stops pushing a lot that is nearly sold out. And query mining runs weekly, because in agricultural categories the search terms are full of research intent — people looking up how to do something, not buy something — and that traffic will quietly drain a budget for months.
We pace this region's accounts against a demand curve rather than a monthly grid. Practically that means loading spend into the spring garden ramp, holding through the summer where a heat-sensitive catalogue may need shipping restrictions and reduced bidding rather than growth, then funding the autumn release and harvest period and the gift season heavily, with the quiet stretches deliberately throttled. Custom labels tie bidding to stock cover, so a small lot that will sell out through email anyway is not also being paid for in Shopping. Geography matters too: the Bay Area is ninety minutes away and shares your delivery reality, which makes it a genuinely different bid target from a state you can ship to but not serve as quickly — and, for regulated goods, from states you cannot ship to at all, where showing an ad is pure waste. Those exclusions get built before anything is scaled.
The same standard of work we run for every client — applied to a Sacramento 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 Sacramento 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.