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.
Two hundred retail buyers know your name. Almost no consumers do. Meta is the only line in the plan that can close that gap, and it closes it with creative volume rather than clever targeting.
Delivered remotely for brands across Dallas and Texas.
Nobody searches for a brand they have never heard of, and that is the position most Dallas companies are in on the consumer side. You can be a fixture of a permanent showroom, written into hundreds of retail doors, and still be a complete unknown to the person scrolling in Plano who owns three of your products without knowing your name. Meta is the channel that closes that gap, and it closes it with creative, not with targeting.
So the account is built for throughput rather than for cleverness. Campaigns consolidated far enough that each ad set actually exits learning. A catalogue connected through the Shopify channel with product sets cut by margin band and by stock position, so dynamic ads promote what you can profitably ship rather than whatever sold last month. Advantage+ with the existing-customer budget cap set deliberately — and, in this market, with the customer list scrubbed first, because most Dallas brands' 'customer' file is half retail buyers collected at market, and feeding those into a lookalike teaches the algorithm to find more boutique owners.
Underneath it sits signal. Conversions API with proper browser-to-server deduplication and a match-quality target worth defending, because since the iOS changes the quality of what Meta knows about your buyers is a bidding lever rather than a tracking detail. Then the honesty check: Meta reports on its own performance, so before any real budget step we want a geo holdout — designed carefully in Texas, where your retail footprint is densest and in-store lift never appears in the ledger the platform is reading.
Texas is simultaneously the easiest and the most misleading place for a Dallas brand to run paid social. Easiest because regional affinity is real and creative that sounds like it came from here outperforms the generic version by a distance most founders underestimate. Misleading because a Meta ad served in DFW frequently produces a sale at a stockist five miles away, which shows up nowhere in your Shopify revenue and quietly makes your home market look like your worst performing geography. We plan for both: creative and offers built for the Texas audience, holdout regions chosen outside your densest retail cluster so the read is clean, and expectations set with your team before anyone panics at a home-state CPA. Seasonality gets the same treatment. The State Fair run at Fair Park, Friday-night high school football across the metro, Cowboys home dates and the long stretch of genuine heat from June into September all move creative angles and demand far more than a budget change does, and the concepts for each have to be in production weeks ahead, not the week of.
The same standard of work we run for every client — applied to a Dallas 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 Dallas 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.