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 is where Bay-area demand gets created — by footage of the boat, the deck and the water, not by another interest stack.
Delivered remotely for brands across Tampa and Florida.
A new rod holder, a shade sail, a cooler, a set of dock lines: nobody was shopping for any of it this morning, and the ad has to supply the reason. That is demand creation, and the lever is creative volume — not audiences. Interest targeting has been a rounding error since Advantage+ absorbed it, and no amount of ad-set tinkering substitutes for a genuinely new concept entering the auction.
Tampa Bay happens to be an exceptionally good place to make that creative. The raw material is outside and free: sunrise off a flats boat, a full livewell, a screened lanai, a dock at Gulfport, a hot afternoon around a pool. Brands here consistently underuse it, running white-background product shots against national competitors who spend real money faking the environment your customers are standing in. Concepts shot on the water beat studio work in-feed almost every time in this category.
The structural work sits underneath: campaigns consolidated so ad sets get enough conversions to exit learning, the catalog wired properly through the Shopify channel with product sets split by margin and stock cover, and Conversions API restoring the signal iOS 14 took away with real event match quality rather than an app's default install. Then a geo holdout before any step change in budget, because Meta reports on itself and Florida seasonality gives platform attribution plenty of cover to claim credit it did not earn.
In a market with flat year-round demand, over-attribution is a steady bias you can reason about. In Tampa Bay it moves. Demand climbs into summer boating and pool season, spikes violently in a storm week, and drops when the winter residents change the mix, and platform-reported ROAS rises and falls with all of it whether or not the ads did anything. A brand that scales budget on the back of a September surge is often paying more to reach people who were buying regardless. So we hold the account to blended MER and run geo holdouts across matched Florida and out-of-state regions before any meaningful budget increase, and we set a deliberate policy for storm weeks — creative and messaging that would be tone-deaf gets paused automatically, and prospecting is throttled where fulfilment cannot honour the promise. Pausing ads into a market you cannot ship to is not caution, it is arithmetic.
The same standard of work we run for every client — applied to a Tampa 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 Tampa 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.