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 Madrid brands whose growth is limited by how many genuinely different concepts they can put into the auction each month.
Delivered remotely for brands across Madrid and Spain.
There is no query to answer here, only a reason to supply — and for a Madrid brand that means deciding, per concept, who is being persuaded. A Spanish-language ad selling a domestic audience on a product they can have in two days is a different piece of creative from an English-language ad selling an international audience on Spanish provenance, shipping time and duty-paid pricing. Same product, two arguments. Brands that produce one and translate it get an underperforming second track and conclude the market does not work.
From there the build is about throughput, not ingenuity. Campaigns consolidated until each ad set sees the conversions it needs to leave learning, Advantage+ Shopping running with the existing-customer cap set deliberately, and the catalogue wired through the Shopify channel with product sets cut by margin and stock cover. That last point bites in seasonal categories: a padel line turns over on model cycles and a resort or footwear range turns over against a season, and a dynamic ad will cheerfully keep spending on a model that no longer exists in the two sizes that sell.
Signal is the third piece and it is where cross-border quietly costs money. Meta's match quality depends on identifiers that behave differently outside the US: Spanish addresses use a provincia rather than a state, phone numbers arrive with and without the country code, and postal codes with a leading zero get mangled by anything that treats them as a number. Conversions API with correctly normalised and hashed parameters, and clean browser-to-server deduplication, is the difference between the algorithm knowing what your buyers look like and inferring it.
Madrid gives paid social an unusually strong supply of native content settings, and the accounts that win here use them instead of shooting on a seamless backdrop. Padel is a mass participation sport in Spain with clubs across the metro and a professional circuit that runs through the city, so on-court footage, coaching hooks and player demonstration are available in volume and read as authentic rather than staged. Food and gourmet brands have the harvest, the market trade and the kitchen as settings. Fashion and leather have the streets of Malasaña and Chueca and the retail spine of the Barrio de Salamanca, which look like nowhere else and cost nothing to use. The seasonal shape matters too: production has to front-load before August because crews, creators and clients all disappear at once, and the autumn calendar then carries two distinct gifting arguments — Christmas and Reyes — which need separate concepts, because a 3 January ad is talking to someone with a deadline and a different emotional job to do.
The same standard of work we run for every client — applied to a Madrid 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 Madrid 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.