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.
New York, NY
Google Ads Management in New York
Demand capture for New York brands: Merchant Center feed health first, brand and non-brand separated second, bidding last.
Delivered remotely for brands across New York and New York.
Grow · New York
Why New York brands come to us for this
- Feed titles rebuilt from showroom line-sheet language into the phrases a buyer actually searches.
- Branded demand — the kind New York press keeps generating for free — isolated so non-brand is finally visible.
- Long-tail attribute targeting under the department stores and marketplaces that own your head terms.
- Merchant Center price and tax configuration aligned to the sub-$110 clothing exemption, so nothing disapproves.
- Local inventory and store feeds for brands with a SoHo, Chelsea or 47th Street door worth walking into.
Google does not create the demand a New York brand lives on — the city already did that. A magazine editor two subway stops from your office wrote you into a roundup, a stylist tagged the piece, a buyer saw it at a Javits show. What Google decides is who collects the search that follows, and that collection depends almost entirely on whether your catalogue is eligible, approved and described in the words the searcher actually used.
So the feed comes first, and New York catalogues make the feed unusually hard. Apparel and accessories brands here carry the deepest size-and-colour runs in the country, and the titles arrive from a line sheet written for a showroom, not for a search box. Fine jewellery from the 47th Street trade has no GTIN because the piece is made to order. Price and availability mismatches disapprove products quietly on a catalogue that turns over twice a year. We fix that at source: titles led by the words buyers type, identifier gaps closed, custom labels built around margin and stock cover so the spend follows the pieces you actually want to move.
Then structure, and this is where New York accounts differ most. Editorial coverage from publications headquartered in this city generates a large branded search volume that has nothing to do with your ads. Leave it blended into one campaign and your ROAS is mostly people who already knew your name. We isolate it, judge non-brand on its own, mine the query set weekly — including the borough and neighbourhood modifiers a brand with a physical door picks up whether it wants them or not — and only then touch targets.
Local context
A Shopping grid owned by department stores, and branded demand New York press keeps manufacturing
Two things shape a Google account in this city. The first is who else is in the Shopping grid: national department stores and marketplaces with thirty years of domain and feed maturity are bidding on your category terms, and they will not be outbid on the head term, so the winnable ground is attribute-level and long-tail — fabric, fit, occasion, stone, size run — which is a feed and product-type problem, not a bidding one. The second is that New York manufactures its own branded search. Press coverage, market weeks and a SoHo or Chelsea door all push people to type your name, and a campaign that harvests that demand looks brilliant while the non-brand half quietly fails. There are two local mechanics worth naming too: New York exempts clothing and footwear under $110 an item from state and city sales tax, so tax and price configuration in Merchant Center has to match what the storefront actually charges or you collect disapprovals, and any brand with a physical location should be feeding local inventory rather than paying to send a Manhattan searcher to a delivery date they did not want.
Scope
What Google Ads includes
The same standard of work we run for every client — applied to a New York brand’s realities.
Full service detailBrand, Non-Brand & Conquesting
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.
Shopping & Performance Max Structure
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.
Query Mining & Negative Hygiene
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.
Promotions & Merchant Programs
Merchant promotions, sale price annotations, shipping and returns policy setup, product ratings, and local inventory ads where you have stores worth feeding.
tROAS Bidding to Contribution Margin
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.
Scoped and quoted for your New York store
We do not work off a rate card. Every New York 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 scopedHow it runs
From kickoff to results
Feed & Account Audit
Merchant 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.
Fix the Feed
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.
Restructure
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.
Bid to Margin
tROAS targets derived from contribution margin by product group and applied gradually, so the account keeps its learning instead of resetting it every Monday.
Mine & Expand
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.
Proof
Google Ads results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Performance Apparel (DTC)
~$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.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
Consumer Electronics & Accessories
~$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.
1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
In their words
Clients on this work
Non-brand search revenue ~2x at flat spend
“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.”
Director of OperationsKids & baby brand, ~$5M/yr · Atlanta, GA
Verified via Shopify Partner referralFAQ
Google Ads in New York — your questions
It can, and it is a genuinely common source of disapprovals for apparel brands here. Clothing and footwear under $110 an item is exempt from New York State and City sales tax, so the price and tax attributes you submit have to reconcile with what a shopper is actually charged at checkout. Get it wrong and Merchant Center flags a price mismatch on exactly the products with the highest search volume in your catalogue.
If the stock in the store is real and the feed can be kept current, yes — it is one of the few advantages a New York brand has over a marketplace. A shopper standing in the neighbourhood who can pick the item up today is worth far more than the same click sent to a three-day delivery promise, and the store visit tends to convert into a larger basket. The prerequisite is honest inventory data, not more budget.
As one commuter economy with three tax and shipping realities underneath it. The DMA runs across New York, New Jersey and Connecticut, and a very large share of your searchers browse from one state and take delivery in another. We segment by DMA rather than city, watch the location-of-interest reports separately from location-of-presence, and keep the borough and suburb modifiers in their own query bucket so the data does not average into something meaningless.
Sharply, because the season is compressed here. The four weeks from Thanksgiving to Christmas carry a disproportionate share of the year, and shipping cut-offs plus local pickup change the profitable query set week by week. We front-load feed and structure work in the quiet stretch of August when the city empties, hold budget for the Cyber window rather than smoothing it, and shift toward pickup and gifting queries in the final ten days when delivery is no longer credible.
Yes, once the feed and the exclusions are right. PMax on a clean feed with margin-segmented asset groups and brand controls is the strongest Shopping vehicle Google has shipped. PMax on a neglected feed is an expensive way to sell bestsellers to people who were buying anyway.
Because Shopping never sees your keywords, only your feed. Title, product type, GTIN and attributes decide which queries you are even eligible for. We routinely find a quarter of a catalogue disapproved or serving on the wrong terms, and fixing that moves revenue before a single bid changes.
Usually yes, but as a separate campaign with its own target and its own conversation. Branded clicks are cheap and convert well, which is exactly why blending them into non-brand hides whether the rest of the account works. Where the spend is material we run a holdout to see what is genuinely incremental.
Next step
Google Ads for your New York brand.
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.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.