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 Phoenix brands selling things nobody has learned to search for yet — where the constraint is how much creative you can actually produce.
Delivered remotely for brands across Phoenix and Arizona.
A large share of what this metro sells has no established query behind it at all, which puts the whole burden on the ad rather than on the search box. Nobody types in a cooling towel, a desert-rated dog boot, a shade structure rated for monsoon gusts or a 40-ounce insulated tumbler until somebody has shown them why it matters. That is demand creation, and the thing that creates it is creative volume — audience construction moved inside the algorithm several Advantage+ releases ago.
So the account is built for throughput rather than cleverness, and here the throughput constraint is physical. Concepts fatigue in roughly a fortnight, and from June through September outdoor capture in the Valley is confined to the first and last hours of daylight, so the assets that will run in August have to be shot in March and April. A media plan that assumes you can brief a shoot next Tuesday is wrong for a third of the year in this climate. We build the concept calendar backwards from that, keeping studio, creator and customer-sourced content flowing through the hot months while field batches get front-loaded into spring and autumn.
Underneath it sits signal and structure. Campaigns consolidated far enough that each ad set clears learning, the catalogue connected through the Shopify channel with product sets cut by margin after freight and by whether a SKU can safely ship into a hot zone this week, and the Advantage+ existing-customer cap set deliberately instead of left at a default. Conversions API with proper browser-to-server deduplication and a match-quality target worth defending, then a geo holdout across the Southwest footprint your warehouse serves cheaply, because Meta reports on its own performance and is an advocate rather than an auditor.
Two Phoenix realities distort paid social in ways a coastal playbook never accounts for. The first is the winter visitor. From October through March the metro gains a large seasonal population who buy locally, ship to an Arizona address, and then disappear in April with a different address and often a different phone number attached to the same person. Fed into a customer list or a lookalike seed, that one buyer becomes two mediocre profiles, which degrades match quality and teaches the algorithm to chase a duplicate. We deduplicate on hashed identifiers before any list is used as a seed, and we treat the seasonal address as an attribute rather than a churn event. The second is the local auction calendar. Barrett-Jackson in January, the Open and the Cactus League through February and March and the travel volume around them push reach costs inside the Valley well above their annual baseline in exactly the weeks the market is most crowded — worth spending into if your category rides the event, expensive noise if it does not. Then summer inverts everything again: cooling, hydration, pool and indoor angles carry, outdoor-and-effortful concepts stop working, and anything meltable needs the heat-shipping message inside the ad rather than discovered at checkout.
The same standard of work we run for every client — applied to a Phoenix 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 Phoenix 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.