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 is where LA demand gets settled, not created — and on a Shopify catalogue that argument is won in Merchant Center before it is won in the auction.
Delivered remotely for brands across Los Angeles and California.
Los Angeles brands are unusually good at making people want something and unusually careless about what happens ten minutes later, when that person opens Google and types a description of the thing they just saw. That search is the moment the sale is decided, and it is frequently decided in favour of a marketplace listing or a competitor with a tidier feed. Nothing about the content engine fixes that. Only the catalogue does.
So we start in Merchant Center, which for an LA catalogue is rarely a clean place to start. Cut-and-sew brands producing out of the Fashion District routinely have no GTINs at all because nobody ever bought a barcode range. Beauty and sun-care lines carry policy flags on SPF, ingredient and healing claims that get products silently pulled from serving. Seasonal colourways stack up as near-duplicate items with titles written by whoever loaded them at 11pm. We clear disapprovals at the root, close identifier gaps, rewrite titles to lead with the fabric, fit and occasion language buyers actually type, and label products by margin and stock cover so a style with four units left is not being pushed by an algorithm.
Then structure. In a market this famous, branded search is the single most flattering line in the account: someone sees a creator wear the piece, Googles the brand, and Google bills you for the click your content already earned. We isolate brand into its own campaign with its own target so non-brand performance stops hiding behind it, run Shopping and Performance Max against the catalogue in margin-segmented asset groups, and use Search only for the queries a feed cannot reach. Bidding is the last lever we touch, and every change carries a written reason.
Demand capture in Los Angeles has a specific shape: a large share of your non-brand volume is people describing a product they saw somewhere else. They do not know your name. They type the silhouette, the fabric, the ingredient or the occasion, and whoever's feed carries those words wins. That makes title and attribute work worth more here than bid tuning, and it makes query mining a merchandising exercise rather than a hygiene one — the search terms report tells you what LA started and the rest of the country is now looking for. Two operational details follow from being a Pacific-time account. Budgets set on a naive daily cap are frequently spent out by mid-afternoon Eastern, which quietly cedes the East Coast evening; we pace against your real hourly conversion curve instead. And for brands with actual retail on Melrose, Abbot Kinney or Larchmont, local inventory ads are worth running properly rather than as an afterthought, because a same-day pickup radius in this county is a genuine differentiator against a marketplace two days out.
The same standard of work we run for every client — applied to a Los Angeles 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 Los Angeles 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.