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.
Demand created rather than captured, which in France means creative made in French by people who sound French.
Delivered remotely for brands across Paris and France.
Meta has no query to answer. Nobody was looking for you, so the ad has to supply the reason, and that makes creative the only real lever left now that targeting sits inside the algorithm. In France it also makes creative a language problem in a way that Google is not. A subtitled English UGC video with a French caption underneath does not read as a French brand, it reads as an import, and the categories Paris exports on — fashion, leather goods, fragrance, food and wine — are precisely the ones where sounding native is the product.
The signal side is harder here than in most markets too. French consent enforcement is strict and visible: buyers see a refusal option as prominent as the acceptance one and a meaningful share of them use it. That is not something to work around, it is a constraint to build for. Server-side events with hashed identifiers, browser-to-server deduplication done correctly, and event match quality treated as a bidding input rather than a dashboard number. An account with weak signal in a high-refusal market is not going to be rescued by budget.
Structure then follows the volume you actually have. Most Paris brands we work with are spending at a level where eighteen ad sets guarantees none of them ever exits learning. So the account gets consolidated until each ad set sees enough conversions to be taught something, prospecting and retargeting get an explicit budget split and exclusions that stop them bidding against each other, and the catalogue gets wired through the Shopify channel with product sets segmented by margin and stock cover rather than dumped in whole.
Paid social in France runs a different rhythm from paid search, and it is one most accounts discover by accident. The weeks around each fixed sale window are the noisiest of the year, so arriving at them with three tired concepts is the most expensive possible timing. The summer weeks are the opposite problem: a large part of your audience is away, and the accounts that scale straight through them tend to be paying for reach that converts later or not at all. We plan production against that. Concepts for the winter window are briefed and shot in the autumn, the summer window is fed by work produced in spring, and the quiet weeks are used for cheap concept testing and for building the library rather than for pushing budget. Creators are briefed to speak French because they are French, not because they were sent a script to read, and angles are mined from your own reviews and support messages in the customer's words. And before any real step change in budget we run a geo holdout across matched French regions, because the platform reports on itself and a business this size cannot afford to scale on a number nobody has audited.
The same standard of work we run for every client — applied to a Paris 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 Paris 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.