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.
Dublin
Meta Ads Management in Dublin
Meta has to create the want before Google can capture it — and for an Irish brand that means making provenance visible in three seconds.
Delivered remotely for brands across Dublin and Ireland.
Grow · Dublin
Why Dublin brands come to us for this
- Creative built on provenance: mill, workshop and maker footage that makes the origin claim visible rather than stated
- Angles tested as angles — origin story, gift occasion, diaspora testimonial, delivery reassurance — not as individual files
- Consolidated market structure, because Irish-only ad sets never gather enough conversions to leave learning
- Conversions API implemented alongside a real consent mode setup, with event match quality treated as a bidding lever
- Geo holdouts run across matched US metros, since a holdout inside Ireland could never reach significance
Nobody wakes up planning to buy a hand-finished throw from a mill in the west of Ireland. Meta's job is to put the reason in front of them, which makes this a creative problem rather than an audience problem. Interest targeting has been a rounding error since Advantage+ absorbed it, and no amount of layering 'Irish heritage' interests will substitute for an ad that shows the loom, the hands, the stitch and the person who made it. Provenance is the strongest asset an Irish brand owns and it is almost always underused in paid social.
The second thing that separates this from a generic account is that a large share of the demand is emotional and gift-driven, which changes what the creative has to do. A diaspora buyer is not comparison shopping on price; they are looking for something that feels genuine and that will arrive on a date. So the concepts that work tend to be origin stories, maker footage, unboxings from customers with American accents, and explicit delivery reassurance — not discount stacking. Those are different angles, and they need to be tested as angles rather than as individual files.
Then there is the signal layer. You are advertising into a market where consent is a genuine legal requirement, not a banner someone dismisses, so the Conversions API has to be implemented alongside a properly wired consent mode rather than switched on by an app and forgotten. Event match quality is a bidding lever now. If yours has been sitting at five since someone installed a pixel app, that is costing you more than any targeting change would recover.
Local context
Prospecting into the US from a small Irish base
The structural challenge here is that your home market is too small to learn in and your best market is five thousand kilometres away. Ireland's population will not generate enough conversions per ad set to exit the learning phase at sensible budgets, so an Irish-only prospecting campaign spends its life in learning limbo. The workable structure consolidates markets rather than splitting by country, lets the algorithm find the diaspora buyer wherever they are, and separates markets only where creative or offer genuinely differs. It also changes how you prove anything: a geo holdout inside Ireland is statistically hopeless, but a holdout across a matched set of US metros is entirely feasible and is the only honest read on incrementality you will get. Seasonality compresses everything — the creative pipeline for the October-to-December run has to be shot and briefed by late summer, and the St Patrick's concepts need to be in the auction by early February, because the window closes before a slow-testing account has learned anything.
Scope
What Meta Ads includes
The same standard of work we run for every client — applied to a Dublin brand’s realities.
Full service detailAdvantage+ Shopping Build
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 & Dynamic Product Ads
Catalogue connected through the Shopify channel, product sets segmented by margin and stock cover, and DPA templates that look designed rather than machine-assembled.
Conversions API & Signal Repair
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.
Creative Testing Cadence
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.
Incrementality & Geo Holdouts
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.
Scoped and quoted for your Dublin store
We do not work off a rate card. Every Dublin 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 scopedHow it runs
From kickoff to results
Signal Audit
Pixel, CAPI, deduplication, match quality and catalogue health checked first. Everything else in this service is downstream of what Meta knows about your buyers.
Consolidate
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.
Build the Creative Engine
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.
Test at Concept Level
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.
Prove It, Then Scale
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.
Proof
Meta Ads results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Performance Apparel (DTC)
~$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.
+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
Food & Beverage (Specialty Coffee)
~$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.
+8%conversion rate2.4% to 2.6%. The smallest number here and the least important one
$38 → $50average order value+32%, once the sampler replaced the single-bag entry offer
36% → 58%90-day repeat purchase ratethe metric the entire engagement was designed around
+$410kannualized contribution marginCAC fell 19% while AOV and repeat rate rose, at zero incremental discount cost
In their words
Clients on this work
MER 2.1 → 3.4
“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.”
Co-founder & COOPet products brand, ~$9M/yr · Chicago, IL
Verified via Shopify Partner referralFAQ
Meta Ads in Dublin — your questions
It is rarely where the gain is. Advantage+ and broad delivery consistently beat hand-built interest stacks because the algorithm holds far more signal about who buys from you than any interest list does. Where you genuinely influence who sees the ad is the creative itself — an ad opening on a Donegal coastline with a maker speaking finds its audience more reliably than an interest checkbox does.
It means a meaningful share of your visitors will not be tracked, and that has to be designed for rather than worked around. A properly configured consent banner feeding consent mode, plus server-side events for consented users with correct browser-to-server deduplication, gives you the strongest legitimate signal available. Anything that quietly fires events regardless of consent is a compliance risk we will not build.
Barware and accessories are treated differently from alcohol itself, and Meta applies alcohol policy by the country being targeted, with age gating and content rules attached. Ireland also has its own statutory restrictions on how alcohol is advertised. In practice we keep those product lines in their own campaigns with deliberate targeting and creative review, rather than risking a policy strike that suspends the whole account.
Enough that a genuinely new concept enters testing every one to two weeks, which usually means fifteen to thirty assets a month across static, motion and customer footage. The good news is that provenance-heavy brands have more raw material than most — a single day at a mill, a workshop or a distillery yields months of angles if it is shot with a testing plan rather than as a brand film.
Barely. Broad and Advantage+ beat hand-built interest stacks in almost every account we take over, because the algorithm holds more signal about your buyers than any interest list does. What still matters is exclusions, budget split between prospecting and retargeting, and what the ad actually says.
Because it counts every purchase by someone who saw an ad inside the attribution window, whether the ad caused it or not. That is useful for in-platform optimisation and useless as a business number. We optimise inside Meta on Meta's data, then judge the channel on blended MER and holdout results.
You switch Meta off across a matched set of regions, leave it running elsewhere, and measure the revenue difference. It is the closest thing to a controlled experiment paid social allows. Worth running before a large budget step change, then once or twice a year to keep everyone honest.
Next step
Meta Ads for your Dublin brand.
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.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.