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.
Zurich
Conversion Rate Optimisation in Zurich
A structured test programme for Swiss stores where baskets are large, traffic is modest, and the leak is usually confidence rather than clicks.
Delivered remotely for brands across Zurich and Switzerland.
Grow · Zurich
Why Zurich brands come to us for this
- Test sizing done against your real session volume before anything is queued, so nothing runs that cannot be called
- Results read per language and per market, because a German win can mask a French loss in a blended number
- Cart and PDP cost-clarity work for EU buyers: duties, import VAT and what actually arrives at the door
- Payment-choice testing around TWINT and buy-on-invoice visibility, which changes domestic completion rates
- High-basket confidence content tested directly: provenance, servicing, lead times and returns from Switzerland
Swiss ecommerce economics invert the usual CRO playbook. Order values here are high and session volume is comparatively low, which means you often cannot run the kind of rapid-fire A/B programme a mass-market brand runs, and you should not pretend otherwise. What you can do is test the few things that carry most of the revenue, run them properly to a pre-declared sample size, and spend the rest of the effort on research that does not need statistical power: session replay, on-site polls, support-ticket analysis and user testing in the language the customer actually reads.
The friction points are consistent across Zurich stores. Buyers hesitate where cost is uncertain — an EU customer who cannot tell whether duties are included, or a Swiss customer who cannot see whether payment on invoice is available before entering an address. They hesitate where the product story is thin, which for watches, technical outdoor gear and made-to-order design objects means specification, provenance and lead times that a photo grid does not carry. And they hesitate in a language that is not quite right, because a machine-translated French checkout reads exactly as machine-translated to a Romandie buyer.
So the programme is built around revenue per session rather than conversion rate alone, and results are read by language and by market as well as by device. A change that lifts the German storefront and quietly harms the French one nets out to nothing in a blended report, and blended reports are how those changes survive.
Local context
Low traffic, high basket: research does the work statistics cannot
A Zurich store doing several million francs a year on modest sessions has real limits on how many experiments it can call with confidence, and honest CRO here starts by admitting that. We size every test against your actual traffic before it is queued, discard hypotheses that cannot reach significance in a sensible window, and route those questions to qualitative research instead. That includes moderated tests with German-speaking and French-speaking participants, because the confidence problems in a Swiss funnel are language-shaped as often as they are layout-shaped. It also means testing the cost-clarity moment hard, since for cross-border baskets the single biggest recoverable loss is the customer who reaches the cart, cannot work out what arrives at their door and closes the tab. Where volume genuinely is not there, we run sequential before-and-after with clean guardrails and say plainly that it is a directional read rather than a controlled test.
Scope
What Conversion Optimisation includes
The same standard of work we run for every client — applied to a Zurich 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 Zurich store
We do not work off a rate card. Every Zurich 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 Zurich — your questions
Partly, and the honest answer is that the mix shifts. High-traffic pages like the product template and cart can usually support proper tests if you accept longer run times. Everything else moves to research-led change: replay analysis, customer interviews, support-ticket mining and expert review, implemented with a clear before-and-after measurement rather than dressed up as an experiment. We tell you which category each change falls into.
That is often the practical route, but roll-out is not automatic. Layout and flow changes generally transfer; copy, offer framing and trust content frequently do not, because Romandie buying behaviour is closer to French than to German-speaking Switzerland in several respects. We roll winners into the other storefront and then verify with a monitoring window rather than assuming the lift travelled with the change.
In our experience it is cost certainty and payment fit, in that order. Making the total landed cost visible before the cart, and making it obvious that a courier will not ask for more, removes an abandonment cause that customers never write to you about. Making invoice payment and TWINT visible early does the same domestically. Both are structural changes, which is why we sequence them ahead of anything cosmetic.
Tests do not need meetings; decisions do. Experiments are built and QA'd while Zurich sleeps, results and recommendations are written up and waiting when you start your day, and the fortnightly decision call sits in your late afternoon. What we insist on is a single named decision-maker on your side, because the thing that actually stalls a programme across a time gap is a winner sitting unapproved for two weeks.
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 Zurich 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.