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Conversion Rate Optimisation in Stockholm

A structured experimentation programme for Stockholm stores where the Swedish numbers and the export numbers are two different businesses wearing one dashboard.

Delivered remotely for brands across Stockholm and Sweden.

Grow · Stockholm

Why Stockholm brands come to us for this

  • Market as a primary segment from the first test, so Germany and Norway stop being averaged into a strong Swedish result
  • Wallet order tested directly: what moving Klarna and Swish above card entry does to completion, within Swedish presentation rules
  • Service-point and locker selection tested as a conversion element rather than accepted as a shipping configuration
  • Apparel and footwear tests judged on revenue per session net of returns, because the fourteen-day withdrawal right is a margin line
  • Roadmap frozen through Black Week and mellandagsrea, and July used for research rather than experiments nobody can trust

The first thing we do on a Swedish account is stop reading the blended conversion rate. A store selling into Sweden, Norway, Denmark, Finland and Germany has five conversion rates, five average order values and five returns rates, and the average describes none of them. Domestic usually looks strong because the buyer recognises the brand, sees the payment method they use and understands the delivery promise. Germany is often half of it, and the reason is almost never the product — it is a price that ends in odd decimals, a delivery estimate nobody believes, or a returns path that reads as expensive from abroad.

The second is treating returns as part of the conversion equation rather than an operations problem downstream. The EU withdrawal right gives consumers fourteen days to change their mind, and in Swedish apparel and footwear that makes returns the largest single drain on contribution margin. A test that lifts add-to-cart by six percent and lifts returns by nine is a loss you will not find in a standard CRO report. So on apparel accounts the primary metric is revenue per session net of returns, read by market and by size, and that single change rewrites which hypotheses are worth building.

The third is the checkout itself, where the Swedish specifics are concrete enough to test directly. Where Klarna and Swish sit in the wallet order and what happens to completion when they move. Whether pay-later messaging on the product page matching checkout changes anything (it does). What service-point and locker selection does when it is a visible choice rather than a line of small text. And where shipping cost first appears on the page, which in a market with strong free-delivery expectations is a moment of truth most stores hide too late.

Net of returnsprimary metric on apparel accounts, not raw conversion rate
5 markets read apartSE, NO, DK, FI and DE segmented before the first experiment goes live
Feb-Junmain testing block, sized so results land before the autumn freeze
Local context

Two dead months and one enormous one — plan the roadmap around them

A Stockholm testing calendar does not run evenly, and pretending otherwise wastes a quarter. July is close to unusable as an experiment window: traffic composition changes completely while the country is on semester, and a test that reads significant across those weeks is describing a shopper you will not see again until August. Then the opposite problem arrives. Black Week through Christmas and into mellandagsrea is the highest-traffic, highest-intent stretch of the year, and it is also the worst time to change things underneath a promotion — a winning variant from a discount week rarely holds in February. So we run the build-and-test programme hard from February to June, treat July as a research month using session data and support tickets rather than experiments, resume with the highest-volume tests in September and October, then freeze the roadmap from Black Week and spend the peak instrumenting instead of intervening. Testing also has to respect the payment presentation rules Swedish law places on credit-based options at checkout, so pay-later variants get scoped with that in mind rather than tested blind.

Scope

What Conversion Optimisation includes

The same standard of work we run for every client — applied to a Stockholm brand’s realities.

Full service detail
01

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.

02

Prioritised 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.

03

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.

04

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%.

05

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.

06

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 Stockholm store

We do not work off a rate card. Every Stockholm 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 scoped
How it runs

From kickoff to results

01

Measure

We instrument the funnel properly first. Most stores have broken or double-counted events, and you cannot optimise against numbers you cannot trust.

02

Research

Quant tells us where visitors leave. Qual tells us why. We combine analytics, replays and direct customer input before writing a single hypothesis.

03

Prioritise

Hypotheses are scored and sequenced so the highest-value, lowest-effort tests run first. The roadmap is shared and you can reorder it.

04

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.

05

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
Engagement Replatform + CRO retainerTimeframe 7 months (4-month migration, 3-month optimization)

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
Engagement Conversion-led rebuild + paid mediaTimeframe 5 months
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, 2025
FAQ

Conversion Optimisation in Stockholm — your questions

Partly, and the CRO work will tell you which part. The common causes are all fixable on the store: prices generated by live conversion instead of set cleanly per market, delivery estimates that read as vague from abroad, a returns process that looks like it involves posting a parcel to another country at your own cost, and missing local payment familiarity. We diagnose with research first because German volume is often too thin to reach significance on its own, then fix the obvious structural issues before spending test cycles on them.

On Plus you can test meaningfully — checkout UI extensions, delivery presentation, trust content and post-purchase offers are all legitimate test surfaces. Below Plus the checkout itself is fixed, so the work concentrates on everything leading into it: cart drawer, shipping threshold communication, express payment placement, and the accuracy of the pay-later messaging that sets expectations before the buyer arrives. Most of the measurable gain in Swedish accounts sits in that pre-checkout stretch anyway.

Enough that a realistic effect size reaches significance inside a few weeks per test, which for most Stockholm brands means the programme starts on the highest-traffic templates and works down. If your volume only supports a handful of properly powered tests a year, we will say so and shift the emphasis to research, structural fixes and market-level work instead of running underpowered experiments and calling coin flips wins. That is a cheaper answer for you than a testing retainer that manufactures activity.

Instrument, do not intervene. Traffic during Black Week and mellandagsrea is a different shopper with different intent, and a variant that wins under a discount rarely survives contact with February. What that period is genuinely good for is data collection — session replays, on-site polls, search logs and support ticket themes at volume — which produces a far better hypothesis backlog for the spring than anything you would learn by testing button copy into a promotion.

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 Stockholm 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.