Merchant Center & Feed Rebuild
Disapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.
Google is where existing demand for Irish goods gets captured — and most of that demand is being typed outside Ireland.
Delivered remotely for brands across Dublin and Ireland.
Google does not create the wish for an Aran cardigan or a Claddagh ring. Someone in Philadelphia already wants one; the only open question is whose listing they click. The account is therefore a distribution job, and for a Shopify store that job lives in Merchant Center rather than in the campaign builder. For an Irish brand it runs through three Merchant Center feeds, because a euro feed with tax-inclusive pricing and Irish shipping rates is the wrong data to show an American.
So we start in the feeds. One per market, each with the right currency, the right tax treatment, the right shipping configuration and titles written in that market's vocabulary — the same product listed as a jumper for GB and a sweater for the US. Then attribute coverage: GTIN and MPN gaps, product types, and custom labels that encode margin, stock cover and how a line performs in the run-up to St Patrick's, because a bestseller in March is not the same bestseller in October.
Structure comes after that. Brand separated from non-brand — which matters more for a small Irish brand than for a large one, because a handful of loyal domestic searches can flatter an account into looking profitable while non-brand quietly loses money. Shopping and Performance Max carry the catalogue. Search covers the queries a feed cannot reach, particularly the intent-heavy gifting phrasing that Americans use around March and December. Bids are the very last thing to move.
This is one of the few categories where search demand is genuinely calendar-driven and geographically inverted. Diaspora demand builds from late January into the middle of March and collapses immediately after St Patrick's Day; gifting demand builds from October and has a hard stop at the last international dispatch date, not on the twenty-fourth of December. Both curves happen mostly outside Ireland, in markets where CPCs are set by American and British advertisers rather than by your domestic competitors. So budgets move by market and by week rather than sitting flat, shipping cut-offs get reflected in the account before they bite, and campaigns for markets you can no longer deliver to in time get paused rather than left running to spend money on orders you will have to refund. Alcohol-adjacent lines — barware, whiskey glassware, gift sets — carry their own restrictions that vary by country and by state, so those products are segmented in the feed and targeted deliberately rather than swept into a catalogue-wide asset group.
The same standard of work we run for every client — applied to a Dublin brand’s realities.
Full service detailDisapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.
Branded demand isolated into its own campaign, budget and target so non-brand performance becomes visible. Competitor conquesting runs as a separate line, judged separately.
Asset groups split by margin band and product type instead of one catch-all, with listing-group bids, product exclusions and brand-term controls applied wherever PMax still allows them.
A weekly pass over search terms and PMax category reports, with a maintained shared negative library so budget stops leaking into research, DIY and job-seeker queries.
Merchant promotions, sale price annotations, shipping and returns policy setup, product ratings, and local inventory ads where you have stores worth feeding.
Targets set from margin per product group rather than a platform default, moved in controlled increments, with a written reason attached to every bid and budget change.
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 scopedMerchant Center diagnostics, attribute coverage, campaign overlap and wasted spend scored against ninety days of search terms. You get the findings whether you hire us or not.
Titles, attributes, product types and custom labels rebuilt before any campaign work. A perfectly structured account on a bad feed still shows the wrong products to the wrong queries.
Brand, non-brand, Shopping, PMax and Search rebuilt with hard budget boundaries and a shared negative library, so each line answers a different commercial question.
tROAS targets derived from contribution margin by product group and applied gradually, so the account keeps its learning instead of resetting it every Monday.
Weekly query mining, monthly feed reviews, then expansion into the categories the search data says you can profitably win. Nothing scales before the query set is clean.
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.
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
“Six thousand products and a Shopping feed nobody had touched since it was first generated — a third of it was disapproved and we had no idea. They rebuilt the feed off our real product data, fixed the GTIN and size attributes, and split brand off from non-brand so I could finally see what we were actually paying to acquire. They also cut the broad 'baby clothes' terms that were eating a quarter of the budget on people who were nowhere near buying. Spend is roughly flat and non-brand search revenue has close to doubled.”
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.