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.
Creating demand for Baltimore brands — because nobody wakes up searching for a crab feast in Denver until something reminds them it is possible.
Delivered remotely for brands across Baltimore and Maryland.
Meta does the opposite job to Google. Nobody in Columbus is searching for a Chesapeake oyster box in October; the demand does not exist until an ad creates it. That is the whole proposition for this region's food and apparel brands, and it makes creative the media plan. A Baltimore seafood brand's real market is not Baltimore — it is the diaspora, the gift-giver who grew up here, the transplant in Denver who misses a specific ritual, and the person who has never had it and needs to be shown why it is worth the shipping cost.
Which means the concept work is unusually concrete. The winning angles in this category are almost never product beauty shots; they are the table covered in newspaper, the mallet, the seasoning, the moment the cooler opens. For the apparel and streetwear labels that came up around the local sourcing and pattern talent, it is drop mechanics, the neighbourhood the brand actually belongs to, and fit content that reduces returns. For spice and sauce brands it is the use case — what you put it on tonight — because the product is cheap and the barrier is imagination, not price.
Underneath the creative, the account has to be built for throughput and honest measurement. Consolidated campaigns so ad sets get enough conversions to learn. The catalogue wired through the Shopify channel with product sets segmented by season state and stock cover. Conversions API restoring what iOS took, with event match quality pushed to eight or better. And a geo holdout before any material budget step change, because Meta reports on itself and a gifting spike in December will happily take credit for demand that was always going to arrive.
The distinctive Meta problem for a Baltimore food brand is that the product is fundamentally an event, and the ad has to sell the event while quietly resolving the logistics anxiety that kills the click-through. So the creative brief carries two jobs at once: the sensory, communal case for why this is worth doing, and the reassurance that it arrives cold, alive or fresh, on the day you choose. Concepts that skip the second job get high engagement and terrible conversion. Seasonality then dictates the whole calendar — a heavy demand-creation push from the April opening through summer, a gifting-led shift from November where the buyer is not the eater, and a genuinely quiet January that is for creative production rather than spend. We also treat the local metro as a distinct audience from the national one: within about forty miles the message is availability and pickup, and beyond it the message is that this can reach your table at all. Same catalogue, two completely different creative libraries.
The same standard of work we run for every client — applied to a Baltimore 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 Baltimore 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.