Conversion Research Sprint
Funnel analysis, session replays, heatmaps, on-site polls and user tests across your top revenue templates. Output is a ranked list of friction points with revenue attached.
Dublin
Conversion Rate Optimisation in Dublin
Most of the conversion leak in an Irish store is not on the product page — it is in the gap between what you promise and what a foreign buyer believes.
Delivered remotely for brands across Dublin and Ireland.
Grow · Dublin
Why Dublin brands come to us for this
- Funnel and replay analysis split by market — Ireland, Britain, EU and US read separately, never blended
- Delivery-date promise tested as a conversion element, per destination country, including December cut-offs
- Returns and duty clarity for overseas buyers, which is where cross-border carts are actually lost
- Address-step friction removed for Irish shoppers whose address has no street number
- Free-shipping and gifting thresholds set per currency rather than converted from a euro figure
An Irish store's conversion rate is really three conversion rates wearing a trench coat. The domestic buyer knows the brand, knows the delivery will take two days and converts fine. The GB buyer hesitates because nothing on the page tells them whether a courier will ask them for money. The US buyer, who is often the most valuable of the three, sees euro pricing, a Dublin returns address and a shipping estimate with no date attached, and quietly leaves. Reporting a single blended number across those three hides the entire problem.
So we split before we test. Funnel analysis by market, session replays segmented by country, and a clear read on where each buyer group actually drops. In practice the leaks cluster in the same few places: the currency and tax display, the delivery promise, the returns answer for overseas customers, and the address step for Irish shoppers whose address does not fit a form built for street numbers. None of those are hunches — they show up in replay and in checkout drop-off within a week of proper instrumentation.
We are also honest about statistics. Plenty of Dublin brands do not have the traffic to run a clean A/B test on a domestic segment alone, and pretending otherwise produces confident nonsense. Where volume supports testing we run it properly, with pre-declared sample sizes and no calling a result at day four. Where it does not, the honest programme is research-led change with before-and-after measurement on a stated window, plus tests run at the whole-site level rather than sliced into segments too thin to read.
Local context
The delivery promise is the conversion element here
For an Irish brand selling gifting-heavy categories — jewellery, hampers, engraved pieces, knitwear bought for someone's grandmother in Massachusetts — the single highest-leverage element on the page is a computed delivery date for the buyer's own country, and the single most common substitute is a shipping page that says three to seven working days. Those are not the same thing. We test the date promise as a first-class element: where it appears, how specific it is, whether it changes by destination, whether it survives the cut-off logic in December, and what it does to conversion when it is honest about a two-week transit to Australia. The related test is the returns answer, because an American buyer asked to post a package back to Dublin at their own cost is deciding against you at the add-to-cart, not at the return. Fixing those two usually moves more revenue than any button colour ever will.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Dublin brand’s realities.
Full service detailPrioritised Test Roadmap
Every hypothesis scored on impact, confidence and effort, with the projected revenue and required sample size stated up front. You always know what runs next and why.
Experiment Build & QA
Tests built and QA'd across devices, browsers and your app stack, with flicker-free rendering and no measurable hit to Core Web Vitals.
Statistical Analysis
Pre-declared sample sizes, sequential-testing guardrails and segment-level readouts by device, traffic source and new versus returning. No peeking, no calling a test at 80%.
Checkout & Cart Optimisation
Cart drawer, shipping thresholds, payment options, express checkout placement and post-purchase upsell, tested against AOV and revenue per session rather than clicks.
Monthly Programme Report
Tests run, results in full, cumulative revenue impact and what the results taught us about your customers. Losers are reported in the same detail as winners.
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
Measure
We instrument the funnel properly first. Most stores have broken or double-counted events, and you cannot optimise against numbers you cannot trust.
Research
Quant tells us where visitors leave. Qual tells us why. We combine analytics, replays and direct customer input before writing a single hypothesis.
Prioritise
Hypotheses are scored and sequenced so the highest-value, lowest-effort tests run first. The roadmap is shared and you can reorder it.
Test
Two to four concurrent experiments depending on traffic, each run to a pre-declared sample size. No test gets stopped early because it looks good on day three.
Implement & Compound
Winners get hard-coded into the theme, losers get documented, and every result feeds the next round of hypotheses. The programme gets smarter each month.
Proof
Conversion Optimisation results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Premium Skincare (DTC)
8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)
Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.
+41%mobile conversion rate1.62% to 2.28% over the first 90 days post-launch
5.4s → 1.8smobile LCP75th-percentile CrUX field data, not lab
+27%organic sessionssix months post-migration vs. pre-migration baseline, branded queries excluded
$108k/yrplatform cost removedhosting, extension licences and the standing emergency dev retainer
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
In their words
Clients on this work
CVR 1.9% → 2.7%
“We'd been running our own tests for a year and calling every 3% swing a win. The first thing they did was tell us our sample sizes were garbage, which was not a fun call to sit through. Six months later we're getting wins that actually hold up when you re-measure them. Sitewide CVR went from 1.9% to 2.7%.”
Founder & CEOApparel DTC brand, ~$12M/yr · Los Angeles, CA
Verified client, 2025FAQ
Conversion Optimisation in Dublin — your questions
Sometimes, and we will tell you plainly which case you are in. A statistically viable programme needs enough orders per variant to reach significance inside a few weeks, and many Irish brands only get there once US and GB traffic is counted in. If you are below it, the right work is research-led redesign with clean before-and-after measurement, not a test that runs for four months and still says nothing.
Generally yes, with a visible and easy override. Automatic switching by IP removes the moment where a US buyer sees euro and mentally adds risk, but it also has to be obvious what happened, because a buyer who thinks the price changed on them loses trust instantly. We test the placement and the wording of the switcher, not just whether it exists.
It lowers add-to-cart slightly and raises completed, delivered, non-refused orders considerably. The costs exist either way; the only question is whether the buyer meets them on your product page or on their doorstep. We measure it on revenue per session and on refused-delivery rate rather than on cart adds, because cart adds are not money.
On Shopify Plus, yes, through checkout UI extensions and Functions. On standard Shopify the checkout is locked, so the work concentrates on the cart drawer, express payment placement, the shipping-rate presentation and post-purchase offers. For a cross-border Irish store that is where most of the recoverable revenue sits anyway, because the doubt is about delivery and duty rather than about the payment form.
Around 40,000 sessions and 800 orders a month is where a testing programme becomes statistically viable. Below that, tests take months to reach significance and you are better served by research-led redesign work and analytics fixes. We will tell you honestly which bucket you are in.
The first test goes live in week three, after research and instrumentation. Meaningful cumulative impact typically shows around month four, once six to ten tests have run. CRO is a compounding programme, not a one-month fix, and anyone promising otherwise is selling best practices.
Some do, and that is normal. A loser is still information: it rules out a hypothesis and sharpens the next one. We report losses in the same detail as wins because a programme that only ever produces winners is one that is not being measured properly.
Next step
Conversion Optimisation 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.