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.
Cincinnati, OH
Google Ads Management in Cincinnati, OH
Capturing the demand your retail presence and packaging already created, starting with a Merchant Center feed that passes inspection.
Delivered remotely for brands across Cincinnati and Ohio.
Grow · Cincinnati
Why Cincinnati brands come to us for this
- Merchant Center rebuild with correct GTINs, net content, multipack and unit-pricing attributes for consumable packs
- Restricted-claim and label language reviewed against Shopping policy before disapprovals cost you a season
- Brand defence against resellers and retailers bidding on your product names, with trademark action where warranted
- Non-brand structured by margin so DTC-exclusive bundles get budget ahead of low-margin singles
- Feed pricing coordinated with your trade promotion calendar so retail relationships stay intact
Google Ads is a harvesting channel: somebody already wants what you make and is typing it. For a Cincinnati consumer brand that demand is often larger than the team realises, because years of shelf presence, sampling and word of mouth have built name recognition that shows up as search volume nobody is capturing properly. The first job is not creative or bidding. It is the product feed.
Feeds in this category fail in specific, boring ways. GTINs pulled from a retail barcode that no longer matches the DTC pack. Multipacks submitted without multipack or unit-pricing attributes, so a six-pack competes on price against a single. Missing net content, so grocery-style comparison never triggers. Restricted-claim wording carried over from the label into the title. Variant images that are all the same hero shot. Each of these quietly suppresses impressions, and fixing them typically moves more volume than any bid change.
Structure comes next, and it starts with an honest split. Brand search for a recognised regional name is cheap and converts, but it also competes against resellers and retailers bidding on you, so it needs defending rather than harvesting on autopilot. Non-brand is where growth lives and where discipline matters: category and problem queries, query mining every week, negatives applied rather than collected. Shopping and Performance Max get segmented by margin and by feed-level product groups so a low-margin single is not consuming budget that a subscription starter kit should have.
Local context
Bidding against your own resellers and your own retail listings
A brand with real distribution in this region faces a competitive picture most pure DTC advertisers never see. Type your product name and you may be bidding against a national retailer, two marketplace sellers moving your discontinued packs, and occasionally a distributor running ads you never authorised. That changes brand campaign strategy from a checkbox into a genuine piece of work: trademark enforcement where terms are being misused, defensive coverage on the exact product names resellers target, and a clear-eyed read on which of those clicks you were going to get for free anyway. It also affects promotions — running an aggressive Shopping price while a grocery partner is on a trade promotion is how a merchandising conversation turns into a phone call from your sales director. We check the promotional calendar with your trade team before pricing signals go into the feed, and we keep the DTC-exclusive formats as the aggressive part of the assortment.
Scope
What Google Ads includes
The same standard of work we run for every client — applied to a Cincinnati 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 Cincinnati store
We do not work off a rate card. Every Cincinnati 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 Cincinnati — your questions
Two things run in parallel. Commercially, a trademark complaint through Google removes your mark from their ad text, though it does not stop them bidding on the keyword. Tactically, you defend the exact product terms where the reseller is showing a lower price and let the rest go — chasing every reseller impression burns budget on traffic that would have found you anyway. We measure the difference by pausing coverage in controlled slices.
Usually, and it is normally a wording problem rather than a product problem. Titles and descriptions inherit label language that Shopping treats as a health claim, and the fix is a feed-level rewrite that keeps the product identifiable without the restricted phrasing. We rewrite through feed rules rather than by editing your Shopify product data, so your on-site compliance-approved copy stays untouched.
With the multipack and unit-pricing attributes populated, and with net content declared correctly. Without them Google compares your six-pack against competitors' singles on headline price and you look expensive. With them, unit price comparison works in your favour, which is often exactly why the multipack exists. This is one of the highest-return hours of feed work available to a consumables brand.
Yes, but the measurement has to be honest about it. Search demand created by shelf presence converts online at a rate that looks fine and understates the true effect, because some of those searchers go and buy in a store instead. We report on direct return first, keep decisions anchored to it, and treat any retail halo as commentary rather than as a number we invent.
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 Cincinnati 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.