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.
Tampa, FL
Google Ads Management in Tampa, FL
Shopping, PMax and Search built around your Merchant Center feed, because Bay-area demand already exists and the fight is over who it finds.
Delivered remotely for brands across Tampa and Florida.
Grow · Tampa
Why Tampa brands come to us for this
- Product titles rebuilt to lead with brand, part number and fitment — the phrasing Bay-area buyers actually type
- GTIN and MPN gaps closed across parts catalogs, where identifiers decide whether you are eligible at all
- Custom labels for storm-relevant categories so they can be budgeted and bid independently of everyday lines
- Weekly query mining and a shared negative library that keeps repair-manual and DIY research out of the account
- Geographic pause-and-resume plan prepared before June for the days carriers suspend service into Florida
In Tampa Bay the demand arriving through search is unusually explicit. Someone types an exact part number, a pump model, a shutter width. They have already decided what they need; the only question is whose listing appears and whether it looks credible. That makes this a feed problem before it is a bidding problem, and on Shopify the feed runs through Merchant Center rather than the campaign builder.
So we start there. Titles rewritten to lead with the terms buyers actually type — brand, part number, fitment, size — instead of an internal SKU convention. GTIN and MPN gaps closed, which matters far more in a parts catalog than in apparel, because identifiers are how Google matches a query to your listing at all. Product types and custom labels built around margin and stock cover, and disapprovals cleared at the source rather than resubmitted and hoped over. Then structure: brand separated from non-brand, Shopping and PMax carrying the catalog with asset groups split by margin band, and Search covering the queries a feed cannot reach.
Query mining is where a Bay-area account is won or lost weekly. Parts catalogs attract enormous volumes of research, DIY, repair-manual and job-seeker queries that look commercially adjacent and convert at nothing. A maintained shared negative library, reviewed every week against search terms and PMax category reports, is the difference between an account that scales and one that quietly funds a hobbyist forum.
Local context
Availability is the Merchant Center problem that costs you September
The storm-season spike rewards accounts that are honest about stock and punishes the ones that are not. In the week a system enters the Gulf, price and availability mismatches between your store and your feed turn into disapprovals at exactly the moment impressions are cheapest to win, and Google's crawl cadence means a fast sell-out can leave you serving on items you cannot ship. We set up scheduled feed fetches and content API updates so availability moves quickly, build custom labels for storm-relevant categories so they can be budgeted independently rather than competing with everyday lines, and prepare a pause-and-resume plan by geography for the days when carriers suspend service into the peninsula. Then we hold budget back in advance, because the spike arrives whether or not the account was ready for it, and the accounts that capture it are the ones that had a plan written in May.
Scope
What Google Ads includes
The same standard of work we run for every client — applied to a Tampa 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 Tampa store
We do not work off a rate card. Every Tampa 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 Tampa — your questions
Cross-reference and superseded part numbers you genuinely supply an equivalent for, yes — that is legitimate and often cheap. Bidding on numbers you cannot fulfil produces clicks, refunds and a poor account signal. Competitor conquesting runs as its own line, judged on new customers acquired rather than blended ROAS it quietly drags down.
With frequent scheduled fetches plus content API updates for the categories that move fastest, so the feed reflects reality in hours rather than overnight. We also pre-agree which SKUs get pulled from campaigns automatically at a stock threshold. Serving ads for hardware you cannot ship in a warning week is the most expensive kind of impression available.
It can be one of the strongest levers you have, because storm and repair demand is frequently same-day. If you hold real stock at a location people can drive to, local inventory ads let you compete on immediacy rather than price. It requires accurate store-level inventory feeds, and we will be honest about whether your systems can support that before you commit.
It does, badly, if brand and non-brand share a campaign. We isolate branded demand into its own campaign with its own target so a news-driven or seasonal brand surge cannot flatter non-brand performance. That way the number you use to judge the account measures acquisition rather than people who already knew your name.
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 Tampa 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.