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.
Facebook and Instagram for San Antonio brands whose growth depends on creating demand for a product nobody was searching for that morning.
Delivered remotely for brands across San Antonio and Texas.
Nobody wakes up searching for a new hot sauce or a 250-gallon offset smoker. That demand has to be manufactured, and on Meta it is manufactured with concepts, not with audience settings. The lever that still moves cost per acquisition is how many genuinely different ideas you feed the auction each month, which is why a San Antonio account with three ads and a lookalike stalls no matter how carefully the targeting is tuned.
The bilingual dimension doubles the concept requirement rather than adding a translation task. A Spanish ad is not an English ad with subtitles — it needs its own hook, its own on-camera person and its own place in the test queue, and it should be shot in the same block so the second language never runs out of assets first. Accounts here that treat Spanish as a post-production step almost always have a Spanish variant that has never produced a winner, which then gets read as proof the audience does not respond.
Structurally, the account is built for throughput: consolidated so every ad set clears the conversion threshold learning needs, Advantage+ Shopping with an existing-customer cap that was a decision rather than a default, and catalogue product sets cut by margin and stock cover. Then signal — Conversions API with properly hashed and normalised parameters and clean browser-to-server deduplication, because a store selling freight-class goods and bundles cannot afford the algorithm learning from a partial picture of who actually buys.
Two San Antonio characteristics shape the media plan. The first is warmth: family businesses here often carry decades of local goodwill and a large in-market following, which means retargeting and Advantage+ will cheerfully spend the entire budget re-selling people who already knew the brand and report a ROAS that looks superb. We cap the existing-customer share explicitly and judge the account on new customers acquired, not on blended return. The second is the calendar and the climate. Outdoor cooking demand builds through spring into Father's Day and dies in the worst of a South Texas summer, then returns for autumn tailgating and the holidays. Fiesta in April and the February stock show and rodeo pull attention and western wear demand into concentrated weeks. And a hot sauce or salsa brand faces a real melt and heat-damage window in July and August that changes what you should be promoting and what the ad should promise. Creative and budget follow that shape rather than a flat monthly split.
The same standard of work we run for every client — applied to a San Antonio 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 San Antonio 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.