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Orlando, FL

Google Ads Management in Orlando, FL

Google captures demand that already exists — in Orlando that means feed health on licensed goods and query hygiene against a mountain of research traffic.

Delivered remotely for brands across Orlando and Florida.

Grow · Orlando

Why Orlando brands come to us for this

  • Merchant Center diagnostics worked weekly, with trademark and counterfeit policy flags on licensed goods fixed at source
  • GTIN and identifier strategy for limited runs and small-batch SKUs that ship without manufacturer codes
  • Apparel attribute completion — size, colour, age group, gender — for costume and performance-wear catalogues
  • Custom labels for stock cover and release status so bidding steps off inventory that is about to run out
  • Negative library tuned against Orlando's research and trip-planning query noise, mined weekly

Google is the capture channel. Nobody types a query for your product unless they have already decided they want it, which makes the account a distribution problem rather than a persuasion one — and on Shopify, distribution runs through Merchant Center, not the campaign builder. That is doubly true in Orlando, where the categories that dominate are the ones Google's policy engine watches most closely.

Licensed and fan merchandise attracts the counterfeit and trademark policy layer. Disapprovals here rarely announce themselves; a portion of the catalogue simply stops serving and the account looks like it has a bidding problem. Limited runs and small batches routinely ship without GTINs, which quietly reduces eligibility. Costume and performance wear collides with apparel attribute requirements — size, colour, age group, gender — that most Orlando merchants have never fully populated. Feed work is not a preamble to the account here, it is the account.

Structure comes second and query hygiene third, and in this metro the third one is unusually expensive to skip. Orlando categories sit next to enormous volumes of research intent — people planning trips, comparing events, looking up what a thing is, hunting for images and free downloads. Left unmined, that traffic eats non-brand budget every week. We separate brand from non-brand so one stops flattering the other, split Shopping and PMax asset groups by margin and stock cover, and mine search terms weekly into a maintained negative library.

Weeklysearch-term and PMax category mining, not a monthly glance
Feed firstno bid changes until Merchant Center diagnostics are clear
Fixed feenever a percentage of spend, so scaling budget is not how we get paid
Local context

Feed rules that match how Orlando catalogues actually behave

Two structural facts shape a Central Florida feed. First, stock cover is volatile: limited runs and convention exclusives sell out fast, and a feed that keeps promoting an unavailable SKU burns budget and risks a price-and-availability mismatch disapproval. We build custom labels for stock cover and release status so bidding automatically steps back off thin inventory instead of waiting for someone to notice. Second, seasonality is not the national curve. Pool, patio and outdoor categories sell here in February. Hurricane season from June through November means fulfilment can pause with little notice, so we set written rules in advance for stepping spend down when shipping promises cannot be kept — a paused campaign costs you a day, a wave of undeliverable orders costs you the reviews. Where you hold real local stock, we also feed local inventory ads so trade buyers a few miles up I-4 can see availability before they search a distributor.

Scope

What Google Ads includes

The same standard of work we run for every client — applied to a Orlando brand’s realities.

Full service detail
01

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.

02

Brand, 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.

03

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.

04

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.

05

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.

06

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 Orlando store

We do not work off a rate card. Every Orlando 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 scoped
How it runs

From kickoff to results

01

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.

02

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.

03

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.

04

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.

05

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
Engagement Conversion-led rebuild + paid mediaTimeframe 5 months

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
Engagement Paid growth audit → migration → paid media retainerTimeframe 6 months
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 referral
FAQ

Google Ads in Orlando — your questions

Usually Google's counterfeit or trademark policy triggering on brand terms in titles and images, not a problem with your licence. The fix is evidentiary and structural: correct the product data so ownership and authorisation are clear, adjust titles that read as a third party claiming a mark, and appeal with documentation rather than resubmitting. We work diagnostics weekly so a disapproval is a two-day event instead of a quarter of silence.

A maintained negative library and weekly query mining, plus structural separation so research-heavy terms cannot hide inside a broad campaign. We also watch PMax category reports, since that is where this traffic surfaces when search terms will not show it. The library is yours and we keep it documented, because most of the value is the accumulation over months.

Yes, with a written trigger for stepping back. The rule is set before the season: when your fulfilment or carrier hub pauses, spend steps down on anything promising a delivery date and shifts toward brand and evergreen. That is a documented decision made in April, not an argument on a Wednesday morning while a storm is offshore.

It does once the feed carries stock-cover and release-status labels, so asset groups can be built around what you can actually keep serving. Without that, PMax reliably finds your fastest-selling SKU, spends the budget on it, and keeps spending after it sells out. The structure has to reflect inventory reality, or automation will optimise you into a stockout.

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 Orlando 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.