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 wakes up wanting a fifth-generation family brand they have never heard of, which is exactly why Meta is the channel that creates that want.
Delivered remotely for brands across St. Louis and Missouri.
Meta is a demand-creation channel, and that reframes what a St. Louis brand should be doing on it. There is no existing search volume for a workwear maker outside its region, a pet consumable competing with the giants, or a barbecue sauce that is famous within a forty-mile radius. The audience has to be shown something before it wants anything, and what gets shown is creative — which is why creative volume, not audience settings, is the media plan.
The good news is that companies here own better raw material than most brands can buy. A working plant floor. Machines older than the founder's children. A third-generation owner who can explain in ninety seconds why the stitching is done that way. Leather being cut, sauce being bottled, a boot being resoled rather than replaced. That footage outperforms studio work because it is specific and unfakeable, and almost nobody in this metro is filming it.
The mechanics still have to be right underneath. Advantage+ shopping campaigns need a clean catalogue feed to work against, Conversions API needs to be sending server-side events with proper matching so a consumable brand's real repeat behaviour is visible, and the account needs consolidating rather than the twenty-three ad sets we usually inherit. But the lever that moves results is how many genuinely different concepts you can put in front of people this month.
The single most consistent finding across consumer brands in this metro is that the story most likely to stop a scroll is buried where nobody reads it. Family firms here are uncomfortable with self-promotion, so the fact that the same family has made the product since the 1940s ends up as one paragraph under a photo of the building. On Meta that story is the highest-performing concept category we test — provenance, process, the person, the machine, the reason a decision was made the hard way. We build a testing calendar around it: founder and operator talking heads, process and factory footage, before-and-after repair content for footwear and leather, seasonal gifting for regional food, and creator and UGC content sourced to look like a customer rather than an agency. Then we retire concepts on frequency and refresh on a fixed cadence, because a single hero video that worked in March is a dead ad by June regardless of how much it cost to make.
The same standard of work we run for every client — applied to a St. Louis 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 St. Louis 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.