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.
Copenhagen
Conversion Rate Optimisation in Copenhagen
Conversion work for Danish stores where the traffic is modest, the basket is large, and the decision takes more than one visit.
Delivered remotely for brands across Copenhagen and Denmark.
Grow · Copenhagen
Why Copenhagen brands come to us for this
- Research-led programme sized for considered purchases, not a test calendar that needs traffic Denmark does not have
- Delivery and lead-time ambiguity treated as the first-order conversion problem for large and made-to-order goods
- Per-market analysis across Denmark, Germany and Sweden instead of one blended result that hides both effects
- Return rate tracked alongside conversion, because German apparel returns can erase an apparent win
- Checkout instrumented by payment method — MobilePay, Dankort, invoice, pay-later — to find where each market stalls
A Copenhagen store usually has the opposite profile to the one CRO advice is written for. Sessions are not enormous — Denmark is around six million people and the export markets are still building — while order values are high and the purchase is considered. That combination rules out running a permanent A/B test programme on low-traffic templates and rules in a different set of methods: qualitative research, funnel diagnosis, checkout instrumentation, and changes justified by evidence rather than by a p-value you will never reach on a product page selling twelve units a week.
So the research comes first and it is unusually productive here, because the objections are concrete. Buyers of furniture, lighting, jewellery and high-end apparel abandon for specific reasons: they cannot tell the actual size, they do not know when it will arrive, they do not know what delivery involves, they are unsure what returning it would cost, or they are looking at a euro price and wondering what happens at their border. Every one of those is fixable content and logic, and each of them is worth more than a button colour.
Where testing does make sense, it is usually at the top of the funnel and in the checkout, where volume aggregates across markets. We are also careful about a mistake Danish stores make often: running one test across Denmark, Germany and Sweden and reading a single result. Those are different buyers with different payment expectations and very different return behaviour, and a winner in Denmark can be a loser in Germany for reasons that have nothing to do with the layout.
Local context
Three markets, three different reasons people fail to buy
Danish buyers rarely abandon over payment — MobilePay and Dankort are familiar and fast — but they do abandon over delivery ambiguity, especially for anything too large for a parcel shop pickup. German buyers abandon over the absence of invoice payment and over sizing, since returning clothes is treated as an ordinary part of the process there, which makes fit content a margin lever rather than a nicety. Swedish buyers arrive expecting pay-later at checkout and a delivery choice presented up front. So the research is segmented from the start: session replays and exit surveys read per market, checkout drop-off measured per payment method, and returns data pulled into the analysis because a conversion gain that arrives with a higher return rate is not a gain. Trust content behaves differently too — Danish buyers respond to concrete signals like a recognised trust mark and real reviews, and Trustpilot happens to be a Copenhagen company, so review presence is table stakes here in a way it is not everywhere.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Copenhagen 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 Copenhagen store
We do not work off a rate card. Every Copenhagen 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 Copenhagen — your questions
No, but split testing on your product pages probably is. At that volume the honest programme is diagnostic: session replays, exit-intent surveys, customer interviews, checkout funnel analysis and structured usability review, producing changes we ship with reasoning rather than with statistics. When traffic concentrates — the homepage, a top collection, the cart and checkout — we test properly. Claiming significance on a page with twelve orders a week would be dishonest.
It affects clarity more than layout. EU consumers have a withdrawal right on distance sales, and burying the terms costs you sales without protecting you — buyers who cannot find the return conditions assume the worst. Stating the return window, who pays return shipping, and how a large or made-to-order item is collected, in plain language on the product page, consistently reduces hesitation in exactly the categories Copenhagen brands sell.
Payment methods and language, in that order, before anything about design. If invoice payment is absent, a large share of German buyers will treat the store as foreign and leave at the last step. After that, check whether the German storefront is genuinely German — including size guidance, shipping page and returns terms — or English with translated product titles. Those two account for most of the gap we find.
Rarely, and almost never as a permanent fixture. Design-led Copenhagen brands sell against stockists who hold the same price, so a standing site-wide discount damages the trade relationship and trains buyers to wait. The higher-return work is removing uncertainty — delivery dates, freight cost, fit and finish detail — which lifts conversion without touching margin or your dealer network.
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 Copenhagen 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.