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.
Philadelphia, PA
Google Ads Management in Philadelphia, PA
Capturing demand that already exists — including the people searching for what you sell while standing four blocks from your door.
Delivered remotely for brands across Philadelphia and Pennsylvania.
Grow · Philadelphia
Why Philadelphia brands come to us for this
- Merchant Center feed rebuilt first: titles, GTINs, product types and custom labels by margin, season and stock cover
- Shipping and availability attributes matched to real perishable cutoffs, so approvals are not lost to an undeliverable promise
- Local inventory ads for shops with real stock, capturing metro searchers who intend to collect rather than ship
- Brand and non-brand split so returning corridor customers are not counted as acquisition
- Geo and budget weighting around next-day ground reach along I-95 to New York, Baltimore and Washington
Philadelphia gives you an unusually clean picture of what already-formed demand looks like. People are already searching for the regional foods, the sneaker sizes, the furniture styles and the market goods you sell. The account's job is to be the one that shows up, and on Shopify that job is decided in Merchant Center long before it is decided in the campaign builder.
So the work starts in the feed. Titles rewritten to lead with the words buyers type rather than the names you use internally, identifier gaps on GTIN and MPN filled, and product types and custom labels shaped so campaigns can be segmented by margin, seasonality and cover. For a business selling perishables that only ship on certain days, or made-to-order goods with a lead time, feed hygiene also means availability and shipping attributes that do not promise what fulfilment cannot deliver — the fastest way to lose a Merchant Center account here is a shipping speed the cold chain never supported.
Then structure. Brand and non-brand separated so nobody claims credit for people who already knew your name, Shopping and Performance Max carrying the catalogue with proper exclusions, and search campaigns built around the specific commercial queries that convert. Query mining is where a local account is genuinely won: this catalogue attracts a long tail of gift, regional and occasion searches, and finding those before a competitor does is worth more than another round of bid adjustments.
Local context
Local inventory, a gift-driven calendar, and a whole region inside a day's freight
Two Philadelphia specifics reshape a Google account. The first is proximity: if you have a shop with real stock, local inventory ads and store-visit-aware campaigns put you in front of people searching within the metro who intend to collect the same day, which is a materially cheaper conversion than shipping to a stranger in another state. The second is the calendar. Regional food and maker goods sell hard as gifts — holiday season, the run of local sports occasions, and a steady stream of transplanted Philadelphians buying a taste of home for relatives — so search demand arrives in identifiable waves with a hard shipping cutoff at the end of each. We build the account around those cutoffs, tightening geography and raising budget where the I-95 corridor makes next-day ground realistic to New York, Baltimore and Washington, and pulling back on zones where transit time makes the promise unsafe.
Scope
What Google Ads includes
The same standard of work we run for every client — applied to a Philadelphia 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 Philadelphia store
We do not work off a rate card. Every Philadelphia 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 Philadelphia — your questions
With geography and feed logic working together. Campaign-level targeting excludes zones your transit time cannot serve, and the feed carries shipping attributes so Shopping surfaces a realistic delivery estimate to the people who remain. We also segment by product: shelf-stable items can run nationally in the same account while the cold items stay inside the safe radius, which usually recovers budget rather than shrinking reach.
If you hold real stock, yes. Local inventory ads and store-focused campaigns reach people searching nearby who want it today, and that intent is both cheaper and less competitive than national product search. It requires accurate in-store inventory feeding Merchant Center, which is straightforward if your POS and website already share one inventory and painful if they do not — which is often the first thing we fix.
We treat the cutoff as a campaign event, not a footer notice. Budgets step up through the gifting window, ad copy and sitelinks carry the delivery-by message while it is still true, and on cutoff day the messaging switches to what can still be honoured — pickup, gift cards, later ship dates. Continuing to advertise a delivery date you cannot meet is how a good December turns into a January of refunds.
In the specific and the local. You will not outspend a national seller on a head term, but query mining routinely surfaces long-tail commercial searches — a particular regional item, a made-here variant, an occasion or gift phrasing — where your product page is genuinely the best answer and the auction is thin. Add local intent, where a nearby shop with stock beats a warehouse two states away, and there is usually a profitable account inside a category that looks closed.
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 Philadelphia 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.