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.
Meta has to supply the reason to buy, which in this city means creative volume — and an honest answer about whether your category belongs here at all.
Delivered remotely for brands across Pittsburgh and Pennsylvania.
The reason to buy has to be invented rather than intercepted, and that single fact decides which Pittsburgh businesses belong on the platform. A Lawrenceville apparel label, a Strip District food importer shipping nationally, a maker brand with a strong founder story and a fan merchandise business in October all have something Meta can create demand for. A supplier of hydraulic fittings, mostly, does not — the audience of people who need that fitting this week is too small to find by interruption, and we will tell you so before you spend a quarter proving it.
Where it does fit, the account is built for throughput rather than targeting. Interest stacks stopped mattering when Advantage+ absorbed audience selection; what still moves cost per acquisition is how many genuinely different concepts enter the auction each month, how clean the signal is, and whether the catalogue is wired properly for dynamic product ads. Campaigns get consolidated so ad sets accumulate enough conversions to exit learning instead of eighteen ad sets each starving quietly.
Signal repair usually comes first. Most accounts we take over here had the Conversions API switched on by an app years ago, with browser and server events double-counting or event match quality stuck in the low single digits. Since the iOS changes, match quality is a bidding lever rather than a hygiene metric, and lifting it is often worth more than any structural change we could make in the same week.
The practical constraint on Meta for most Pittsburgh brands is not media strategy, it is supply of concepts. A regional brand does not have an in-house studio, and the local creator economy is smaller than what a Los Angeles or Miami brand can tap on a week's notice, so the account plateaus for a reason that never appears in the ad manager. We build the pipeline around what this city actually has: real production floors, real workshops and real founders. A machine shop, a roastery on Penn Avenue or a shop on Butler Street is a better ad set than a rented studio, and process footage from a floor most people have never seen gives a maker brand a kind of proof that polished product video cannot manufacture. Then there is the seasonal reality — fan merchandise demand is created by results, not by a media plan, so concepts are produced and pre-approved in August and released against a trigger. Before any significant budget increase we run a geo holdout across matched metros, because Meta reports on itself and a regional brand cannot afford to scale on the platform's own homework.
The same standard of work we run for every client — applied to a Pittsburgh 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 Pittsburgh 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.