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.
The most expensive auction in the country burns a working concept in under two weeks. Everything else in a New York Meta account is downstream of how fast you can replace it.
Delivered remotely for brands across New York and New York.
Google waits for the query. Meta has to invent the reason someone wants the thing at all, and in New York you are inventing it against every other consumer brand headquartered inside the same few square miles, in front of a person scrolling on a phone between Union Square and Bedford Avenue. Targeting has not been the lever since Advantage+ absorbed it. Concept volume is the lever, and this market sets the price of running out.
That price is the whole strategy. CPMs here sit among the highest in the United States, so a fatigued concept is not a mild inefficiency, it is money leaving daily. We build the account for throughput — consolidated so ad sets actually exit learning, catalogue wired through the Shopify channel with product sets split by margin and stock cover, Advantage+ running with a deliberate existing-customer cap rather than whatever it defaulted to — and we brief a rolling concept pipeline off your own reviews and support tickets so the next angle is in the auction before the current one dies.
Signal is the other half, and New York traffic punishes weak signal harder than most. This is a heavily mobile, heavily Safari, heavily in-app audience, so a browser pixel alone is losing a real share of the events Meta bids on. Conversions API with proper deduplication and a match quality target of 8 or better comes before any scale conversation. Then a geo holdout across matched tri-state and out-of-region markets, because the categories that dominate here — apparel, footwear, accessories — carry return rates high enough to turn a proud reported ROAS into a losing month.
New York changes Meta in three concrete ways. Creative decay is faster, because the auction is more expensive and your audience has already seen four brands like yours this week, which means a monthly production plan and named angles matter more than a beautiful quarterly campaign. Geography is genuinely messy: the DMA reaches across three states, and a commuter browses from a Midtown office while the parcel goes to a house in Westchester or Hoboken, so location-based targeting and geo holdouts have to be built on delivery data rather than on where the impression served. And the calendar is sharper than the national curve — late summer pulls your warm audience out of the feed and onto a beach somewhere else, which reads as a prospecting efficiency drop the creative did not cause, the weather swings hard enough that outerwear and layering creative has a narrow window where it lands as relevant instead of premature, and the Thanksgiving-to-Christmas stretch compresses the year into four weeks. We shape spend and creative batching around that shape, and we judge the whole thing on contribution margin after the returns this city’s dominant categories actually generate.
The same standard of work we run for every client — applied to a New York 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 New York 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.