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.
Phoenix, AZ
Google Ads & Shopping Management in Phoenix, AZ
Phoenix buyers arrive already knowing the part number, the horsepower or the trim they need. Win those queries and you barely need persuasion; miss the fitment attribute and you are not eligible for them at all.
Delivered remotely for brands across Phoenix and Arizona.
Grow · Phoenix
Why Phoenix brands come to us for this
- Shopping titles rebuilt so year, make, model and part type read in the order a buyer types them
- Merchant Center shipping services mapped to real ground transit from your West Valley facility
- Branded search isolated so January auction and February event weeks stop flattering non-brand
- Repair-service, DIY and warehouse job-seeker queries negatived out of selling campaigns
- Targets and budgets moved on the inverted Southwest season, not a national demand template
Google is where demand that already exists gets settled. Someone in Gilbert has decided they need a 1.5 horsepower variable-speed pump, a specific control arm for a 2019 Tacoma, or a replacement canopy that survives a monsoon; the only open question is whose listing they click. In this metro that question is answered inside Merchant Center far more often than inside the campaign builder, because the query is a part number or a year-make-model string and the match is made against your product data, not your keywords.
So the feed comes first, and Phoenix catalogues make it real work. Aftermarket and equipment products routinely arrive with internal SKU names as titles, spec attributes buried in a description blob, and identifier gaps that need handling honestly rather than faked. Titles get rebuilt so year, make, model and part type sit in a fixed order a buyer would actually type. Then the piece almost nobody here configures: shipping services in Merchant Center mapped to genuine ground transit out of a Tolleson, Goodyear or Deer Valley facility, so the listing carries a delivery date into Southern California and Nevada that a competitor shipping from the East Coast cannot match at the same price.
Structure and query mining follow. Branded search gets isolated before anything is judged, because brand volume in this market is event-driven — Barrett-Jackson week in January and the Open and Cactus League run in February and March push branded and enthusiast searches up hard, and leaving that inside non-brand makes a flat quarter look like a media achievement. The negative work is equally local: technical catalogues here pull in repair-service intent, DIY and how-to queries, and, for anyone whose brand name resembles a large West Valley employer, a steady trickle of job-seeker traffic. Those go into a maintained shared negative library rather than being noticed once a year.
Local context
Bidding into a season that runs backwards
The Google account for a Phoenix brand has to be scheduled against a demand curve that is out of phase with the national one, and the platform's own seasonality signals will not help you. Pool, cooling, hydration, shade and indoor categories climb here from May while national interest in the same terms is falling, which is genuinely useful — competition thins exactly as your conversion rate rises, and a target ROAS left at its winter setting will starve the campaign in its best month. Powersports, off-road, hiking and patio run the opposite way and peak once the evenings cool. We move targets and budget caps against your own Search Console and account seasonality rather than a template. Two other Arizona specifics sit underneath it. The state does not observe daylight saving, so any account whose time zone was set to a DST-observing region drifts an hour twice a year and silently moves bid schedules, budget rollover and the reporting day boundary. And heat gates inventory: a SKU you will not ship to a hot destination in July should not be taking clicks for it, which is a product-group exclusion, not a customer-service problem.
Scope
What Google Ads includes
The same standard of work we run for every client — applied to a Phoenix 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 Phoenix store
We do not work off a rate card. Every Phoenix 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 Phoenix — your questions
Yes, and it is the cheapest edge available to a seller in this metro. Configuring shipping services and transit times in Merchant Center produces delivery annotations on your listings, and from Phoenix that often reads as next-day into Southern California, Las Vegas and Tucson. We keep those figures tied to your carrier data rather than an optimistic setting, because an annotation that overpromises costs more in refunds and reviews than the extra clicks are worth.
Separate them from the selling campaigns and then decide whether they are worth anything at all. Technical Phoenix catalogues — pool equipment, powersports, truck aftermarket, HVAC-adjacent parts — attract enormous volume from people looking for a service or an installer in the Valley, plus DIY researchers who will never check out. Most of it belongs in a shared negative list. A narrow slice is worth pointing at an install-locator or a how-to page and measuring separately, so it stops being scored as failed commercial spend.
It affects anything scheduled. Ad schedules, budget rollover and the day boundary in reporting all run off the account time zone, so if that was set to a DST-observing region when the account was created, everything shifts by an hour twice a year with nobody touching a setting. The symptom is subtle: a bid adjustment that used to end at close of business now ends an hour early, and month-end stops reconciling against Shopify. We check it at setup and again each March and November.
It changes the calendar the whole account runs on. We take seasonality from your own conversion data instead of category norms, lift budget caps and loosen targets ahead of the local curve rather than after it shows up in a report, and refresh promotion and sale-price annotations for the season you are actually in. The upside is that competition in cooling, hydration and pool terms thins out nationally in the exact weeks Phoenix buyers are most motivated, so the auction is cheapest when your conversion rate is highest.
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 Phoenix 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.