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 London brands, where the media plan is really a creative production plan.
Delivered remotely for brands across London and United Kingdom.
Meta does not wait for a query, it manufactures the reason to buy — and in the UK that reason has to be manufactured against one of the most crowded and expensive auctions in the world. London is where British retail, a very large agency ecosystem and a constant stream of well-funded challenger brands all buy the same impressions, so the account cannot be won on audience settings. Since Advantage+ absorbed targeting, the only durable lever is how many genuinely different concepts you can put into the auction each month.
That makes throughput the design principle. Campaigns consolidated enough that ad sets gather the conversions they need to exit learning. Advantage+ Shopping running with a deliberately chosen existing-customer cap — which matters here because a Shoreditch or Peckham brand with a strong organic following will otherwise spend the budget re-selling people it already had, while reporting a ROAS that looks superb. Product sets cut by margin and stock cover which keeps dynamic ads off a size that sold through a fortnight ago.
Then signal, which for a cross-border London account is not hygiene but a bidding lever. Conversions API with properly normalised parameters, browser-to-server deduplication that actually deduplicates, and postcode and phone formats handled correctly for UK and EU buyers rather than left in whatever shape the checkout collected them. And a consent implementation that is honest under UK GDPR and PECR, because event volume built on consent you cannot evidence is a liability with a countdown on it.
Two things make Meta different for a London advertiser. The first is that domestic CPMs climb steeply from the second week of November, hold through Black Friday, and stay high across the Boxing Day sale, and a brand that plans a flat monthly budget effectively cedes the highest-intent weeks of the year. We plan the creative pipeline against that curve so the strongest concepts are tested and proven before costs rise, not during. The second is that prospecting into the EU is a different proposition from prospecting in the UK: the ad promises a delivery experience your checkout has to keep, so we only scale a country once duty-paid pricing and realistic delivery estimates are live for it. Reporting is checked against a geo holdout, because Meta's numbers are an advocate rather than an auditor — and with a seven-hour gap we run those analyses overnight in UK terms so a Monday afternoon call starts from findings rather than from a screen share.
The same standard of work we run for every client — applied to a London 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 London 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.