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 Amsterdam brands who run out of home-market audience long before they run out of budget.
Delivered remotely for brands across Amsterdam and Netherlands.
There is no query to harvest here: the reason to buy has to be manufactured, and in the Netherlands it has to be manufactured for a country of around eighteen million people. That single fact drives everything about how a Dutch Meta account has to be built. Frequency climbs fast, CPMs follow, and an account that would take a year to saturate a large market can exhaust its domestic prospecting pool in a quarter. The two available responses are more concepts into the auction and more countries in the plan, and most brands here need both.
Crossing the border on Meta is not a geography setting. A German or French campaign is a different creative brief, not a translated one: the hook has to work for someone who has never heard of you, the social proof has to come from their market, and the landing page has to be in their language with their payment methods present. We have seen more Dutch brands conclude Germany does not work for them off the back of a translated Dutch ad pointing at an English page than for any real market reason. The Belgian case is subtler and cheaper to get right, because Flanders shares the language and does not share the retail references.
Then signal, which in Europe is a consent problem before it is a technical one. Meta's ability to learn who your buyers look like depends on event quality, and event quality depends on how many of your visitors are measurable after the consent banner. Conversions API with properly hashed and normalised parameters, correct browser-to-server deduplication, and a consent implementation that is honest and not accidentally suppressing everything, is the difference between an algorithm that knows your customer and one that guesses. We audit that first, because every optimisation decision after it inherits its quality.
Amsterdam brands hit the same wall in a predictable order. Domestic prospecting works, then frequency rises, then CPMs rise, then someone concludes the creative has stopped working when what has actually happened is that the reachable audience has seen it. The honest read is exhaustion of a small market, and the fix is either fresh concepts at a faster cadence or a new geography. So we run a rolling concept calendar with a fixed number of genuinely different angles entering the auction each period, mined from reviews, support tickets and comment threads rather than from a moodboard. Seasonality has an early spike here: Sinterklaas on 5 December pulls Dutch gifting demand into the second half of November, which means the auction is hot and the creative has to be in market earlier than a plan built around Black Friday and Christmas assumes. And because retargeting will happily re-sell a warm domestic audience while reporting a flattering ROAS, we hold cold prospecting funded separately and judge the account on new customers acquired, then verify with a geo holdout before any step change in budget.
The same standard of work we run for every client — applied to a Amsterdam 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 Amsterdam 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.