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 manufacture the reason to buy — and in this city the most persuasive reason is usually footage of the place the thing is made.
Delivered remotely for brands across Philadelphia and Pennsylvania.
The demand does not exist until the ad creates it, and the fuel for that is creative volume. Most Philadelphia brands arrive with the opposite: four beautiful assets shot once a year, running until they fatigue, followed by a quiet quarter and a suspicion that the platform stopped working. The platform did not stop working. The account ran out of things to say.
The advantage this city has is that the raw material is already there and it is genuinely hard for a competitor to fake. A market stall at 6am, a studio floor in Kensington, hands making the thing, a counter mid-rush, a wholesale pallet going out to a restaurant. That footage outperforms polished studio work in a category where buyers are sceptical of marketing and persuaded by evidence, and it can be produced weekly rather than annually because it is documentation, not production.
Structurally the account is built for throughput. Consolidated campaigns so each ad set collects the conversion volume learning requires, Advantage+ Shopping with the existing-customer cap chosen rather than simply accepted, and product sets cut by margin, stock cover and season instead of by collection. Then signal: Conversions API with clean deduplication, because a store where a large share of buyers walk into a shop or collect an order will systematically underreport if only browser events are firing.
Philadelphia brands almost always sit on a large, genuinely affectionate local following — corridor regulars, a hometown diaspora that buys out of loyalty, and a city that shares local businesses enthusiastically. Left unmanaged, Advantage+ and retargeting will spend the whole budget re-selling those people and report a ROAS that makes the account look untouchable while new-customer growth flatlines. We separate cold prospecting from everything warm, cap the existing-customer share on purpose, and judge the account on new customers rather than blended return. The second local factor is that a meaningful share of conversions finish off-site — pickup in the shop, a phone reorder from a wholesale customer who saw the ad — so the account is instrumented for that before anyone declares a campaign unprofitable. And the media calendar respects the city's own spikes: gift season, local sports moments, and market weekends all move both CPMs and the population that is paying attention.
The same standard of work we run for every client — applied to a Philadelphia 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 Philadelphia 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.