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 Stockholm brands whose growth depends on how many genuinely different concepts reach the auction each month.
Delivered remotely for brands across Stockholm and Sweden.
The reason someone wants the thing at all has to be manufactured, and it is manufactured by creative rather than by audience settings — interest stacks have been a rounding error since Advantage+ absorbed most of the targeting decisions. For a Stockholm brand this lands awkwardly, because the aesthetic that made Swedish design exportable in the first place is restraint, and restrained creative in a paid social feed is invisible creative. The work is finding hooks that are direct enough to stop a scroll without producing something your brand would refuse to publish.
The account underneath it is built for volume rather than clever targeting. Campaigns consolidated so each ad set gathers enough conversions to leave the learning phase, Advantage+ Shopping running with the existing-customer cap chosen deliberately rather than left at whatever it defaulted to, and product sets cut by margin and stock cover instead of by collection. That last part carries real weight for Nordic apparel and outdoor brands, where a dynamic ad will happily keep spending on a jacket that has been out of stock in its two most common sizes for a fortnight.
Then signal, which is where cross-border quietly costs you. Meta's match quality leans on identifiers that behave differently outside the US: Swedish postcodes with a space in the middle, phone numbers with a country code your checkout never normalised, address fields with no state, and a meaningful share of buyers paying through Klarna or Swish where the identifiers reaching the pixel are not what you assume. Conversions API with properly hashed and normalised parameters plus clean browser-to-server deduplication is the difference between the algorithm knowing what your Danish and German buyers look like and guessing.
Two Stockholm realities shape the media calendar more than anything on the platform side. The first is light. From November to February daylight is short and flat, which means the winter assets that have to carry your biggest sales quarter cannot be shot in the winter they run in — they are captured in September and October, or planned as studio and interior work, or you end up running last year's library into the most expensive weeks of the year. We build the creative pipeline backwards from that, and we treat the long dark season as a genuine angle for interiors, lighting and home categories rather than something to shoot around. The second is Black Week, which in Sweden is disproportionately large and pulls every competitor into the same auction simultaneously. CPMs rise, fatigue accelerates because frequency climbs faster on a fixed library, and the accounts that hold up are the ones that arrived with a queue of untested concepts rather than one hero asset. Then July, where a chunk of your audience is genuinely offline for weeks — an account left running flat through it is buying reach from people on an island with no intention of opening a laptop.
The same standard of work we run for every client — applied to a Stockholm 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 Stockholm 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.