Account Consolidation
Campaigns collapsed into a structure with enough conversion volume per ad set to exit learning, plus exclusion logic that stops prospecting and retargeting bidding against each other.
Demand creation for Cincinnati products nobody is searching for yet, run on a creative calendar rather than a media plan.
Delivered remotely for brands across Cincinnati and Ohio.
This channel runs the opposite way round to search. Nobody is typing a query for a household refill format they have never encountered or a regional condiment they have never tasted — that demand has to be manufactured, and creative is the only lever that manufactures it. For a metro full of brands whose distribution advantage came from a buyer meeting rather than an ad account, this is the least familiar and most valuable channel to build properly.
The unit of work is therefore creative volume, not campaign structure. A steady cadence of new concepts every month across a handful of distinct angles — demonstration, comparison, origin story, problem-agitate, founder-to-camera, creator review — beats a beautifully finished brand film that runs until it fatigues. Consumer goods have an advantage here that most categories envy: the product does something visible. Pour it, wipe it, dissolve it, spread it, unbox it. Demonstration creative is cheap, fast and consistently the hardest-working format in this category.
Structure exists to serve that cadence. Consolidated accounts so learning is not fragmented across nineteen ad sets, Advantage+ shopping campaigns where the signal supports it, a clean product catalogue driving dynamic ads with correct variants and pack sizes, and Conversions API implemented server-side so match quality is high enough for the algorithm to actually find buyers. Then we test creative on a published schedule, retire fatigued assets on data rather than on opinion, and use geo holdouts when the budget justifies asking whether the channel is truly incremental.
Brands here have something coastal DTC startups pay dearly to acquire: existing regional recognition. People in the tri-state area know the name from a shelf, a festival, a market stall or a family kitchen, and that changes what creative should say. Within the region, the winning angle is usually 'you already know us, here is the format you cannot get at the store' — the variety pack, the subscription, the flavour that never made it to distribution. Outside the region, none of that equity exists and the creative has to establish credibility from zero, which is a different script, a different hook and often a different offer. We build two creative tracks rather than one, use geo splits to keep them honest, and lean on genuinely local production texture — Findlay Market, an Over-the-Rhine kitchen, a real production floor — because manufacturing footage from an actual facility outperforms studio abstraction and this city has a lot of real facilities.
The same standard of work we run for every client — applied to a Cincinnati brand’s realities.
Full service detailCampaigns collapsed into a structure with enough conversion volume per ad set to exit learning, plus exclusion logic that stops prospecting and retargeting bidding against each other.
ASC campaigns with the existing-customer budget cap set deliberately, creative slotted in by concept rather than dumped in bulk, and a clean boundary with the manual prospecting that feeds it.
Catalogue connected through the Shopify channel, product sets segmented by margin and stock cover, and DPA templates that look designed rather than machine-assembled.
Server-side events with hashed identifiers, correct browser-to-server deduplication and an event match quality target of 8 or better. Since iOS 14, signal quality is a bidding lever.
A rolling calendar of concepts, hooks and formats across UGC, static and motion, briefed from customer language and structured so results read by angle rather than by ad ID.
Geo-split and conversion-lift tests across prospecting and retargeting, so budget decisions rest on revenue the business actually gained rather than on what the platform claimed.
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 scopedPixel, CAPI, deduplication, match quality and catalogue health checked first. Everything else in this service is downstream of what Meta knows about your buyers.
We cut the account back to a structure with enough conversions per ad set to learn, then set the prospecting-to-retargeting split on purpose instead of by accident.
Angles mined from reviews, support tickets and comment threads become a monthly production plan with named hooks and a fixed number of new concepts entering the auction.
Naming and structure that roll performance up by angle, hook and format, so the lesson outlives the asset that taught it and the next round starts smarter.
A geo holdout or lift test before any step change in budget. Meta reports on itself; we would rather know what happens to revenue when the ads stop.
Anonymised under NDA. Figures pulled from the client’s own analytics.
~$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.
~$3.1M/yr, 28 SKUs, subscription + one-time, US · Shopify (Klaviyo, Recharge)
A 14-day roast window meant every discount cut into a 41% gross margin that could not be rebuilt. First-order CAC was $52 against a $38 AOV, so the business only worked on the second order and 64% of customers never placed one. The named constraint: no discount deeper than 10%, ever, on any channel.
“Our last agency was reporting a 6.2 ROAS in Meta while the bank account told a completely different story. First thing these guys did was get CAPI wired up properly and rebuild the product catalogue feed, so the dynamic ads stopped pushing flavours we hadn't stocked in months. Then they made us report blended MER from month one and the first number was ugly and honest. It took about four months to move MER from 2.1 to 3.4, and I actually trust the dashboard now, which I did not expect to say about an ad agency.”
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.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.