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.
In a city that produces reasons to buy for a living, talent was never your constraint on paid social. Cadence is — and so is the signal layer underneath it.
Delivered remotely for brands across Los Angeles and California.
The most common conversation we have with an LA brand about Meta starts with a screenshot of an organic post that did enormous numbers and a question about why the same asset died as an ad. The answer is that the organic version was carried by trust the account had already earned. Served cold to someone in Ohio who has never heard of you, it has two seconds to establish a promise, and it does not. The media buyer gets blamed for what is a briefing problem.
So the account is built for throughput rather than for targeting. Campaigns consolidated so each ad set gets enough conversion volume to actually learn. Advantage+ shopping with the existing-customer cap set deliberately — which matters far more here than in most markets, because a brand with a large warm following will let ASC spend its whole budget re-selling to people who were already coming. Product sets cut by drop rather than by collection, so last season’s colourway stops riding on this week’s launch. And a testing cadence that gets the next concept into the auction before the current one fatigues, which in this category is a ten-to-fourteen day clock.
Signal is the other half of the job and it is a harder problem for a California-headquartered brand than most agencies admit. Conversions API set up by an app, browser and server events not deduplicating, match quality sitting in the fives — that is a bidding handicap, not a reporting inconvenience. We rebuild the server-side layer with hashed identifiers and correct deduplication while genuinely honouring the opt-out signals a California business is obliged to respect, then check the whole channel against a geo holdout before anyone signs off a budget increase.
Two LA realities bend a Meta account out of shape. The first is the warm-audience problem. A brand with real cultural presence has a baseline of people who were going to buy anyway, and both Advantage+ and retargeting will happily spend against them and report beautifully. Capping existing-customer spend, setting exclusions on purpose and running geo holdouts is how you find out whether you are creating demand or invoicing yourself for it. The second is the drop calendar, which breaks catalogue advertising in a way steady-state brands never encounter: a release sells through on Friday afternoon and dynamic product ads keep serving it all weekend, buying clicks that land on a sold-out page. We build product sets against live stock cover with exclusion rules that fire on inventory thresholds, and we plan the creative calendar around release dates so the concept queue is loaded before the week that matters, not briefed during it.
The same standard of work we run for every client — applied to a Los Angeles 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 Los Angeles 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.