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.
Nobody scrolls Instagram looking for an association's merchandise, so the account lives or dies on how many genuinely different concepts you can produce.
Delivered remotely for brands across Washington and District of Columbia.
Somebody has to be given a reason to buy, and the ad is the only thing here that can give it. That is a harder brief in Washington than in a city full of consumer product brands, because a great deal of what is sold here — a member benefit, a publication, an exhibition catalogue, a credential — is not inherently visual. The accounts that work solve it by leading with identity and affiliation rather than product: the thing you belong to, studied at, visited or believe in. That is a creative strategy, not a targeting setting.
The affiliation angle also creates a specific trap. Institutions and long-established local retailers carry large warm audiences — members, alumni, past visitors, newsletter subscribers — and Advantage+ will cheerfully spend the entire budget re-converting them while reporting a return that makes everyone happy. We set the existing-customer cap deliberately, keep cold prospecting funded, and judge the account on new customers rather than blended ROAS.
Structurally, the account is built for throughput: campaigns consolidated until each ad set can actually exit learning, the catalogue connected through the Shopify channel with product sets cut by stock cover so a dynamic ad stops pushing an exhibition item that sold out at the register, and Conversions API restoring the signal the browser no longer provides. Then a geo holdout across the DMV, because Meta's reporting is an advocate and a warm local audience makes its case look stronger than it is.
The demand you create here is rarely about the object. It is about belonging to a profession, an institution, a campus or a neighbourhood, and the creative that works reflects that: a curator explaining the object, a member explaining what the credential changed, footage from an exhibition floor or a Union Market stall. That is also why creative production has to be planned around access — filming inside a museum or at an annual meeting requires permissions and happens on a date, so the shoot calendar is set months out and one session has to yield a quarter of concepts. Geographically, the DMV is genuinely useful for measurement: DC, suburban Maryland and Northern Virginia are distinct, affluent, well-defined markets, which makes a geo holdout across them a practical way to test whether the spend is producing incremental revenue or re-buying an audience you already had.
The same standard of work we run for every client — applied to a Washington 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 Washington 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.