CRO Agency
CRO that finds friction with data, not designer opinions.
Statistical rigour, full-funnel testing, and revenue uplift measured in EUR per visitor. No 50-visitor tests called winners.
- No winners on 50 visitors, real stat sig
- Full-funnel view, not just landing pages
- Uplift reported in EUR per visitor

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Most CRO agencies sell pretty redesigns.Most pretty redesigns lose against the control.We test friction, not opinions.
Most CRO agencies sell pretty redesigns. Most pretty redesigns lose against the control. We test friction, not opinions.
Our senior CRO specialists run statistically valid experiments in VWO, Optimizely, Convert and AB Tasty. We layer Hotjar, Microsoft Clarity and Fullstory on top of GA4, Mixpanel and Amplitude to find the actual friction points in your funnel. Every winner is shipped, every loser is documented, every test is sized before it runs.
See CRO outcomesHow a CRO engagement runs
How a LASEO CRO engagement runs in 5 phases
Five distinct phases over a 12-month engagement, each with deliverables you can sign off and re-use. No black box, no proprietary methodology that locks you in.
- 01
Funnel and friction audit (weeks 1-3)
Deep Hotjar and Microsoft Clarity setup across priority pages, GA4 funnel exploration with segment-level analysis, Fullstory session review on 30-50 abandoned carts, scroll-depth and form-abandonment analysis. Deliverable: friction audit PDF with screenshot evidence per finding.
- 02
Hypothesis backlog (week 3-4)
Every observed friction becomes a hypothesis ranked by impact-to-effort using ICE or PIE scoring. Tied to revenue-per-visitor targets and pre-calculated sample sizes. Lives in Notion with status tags for engineering and design. Reviewed weekly.
- 03
Testing infrastructure setup (week 2-5, parallel)
VWO or Optimizely instrumented with a clean trigger taxonomy, GA4 event integration for downstream cohort analysis, server-side test variant logging for resilience to ad-blockers. Variant code reviewed in a Git PR, not buried in a tag-manager UI.
- 04
Test execution and analysis (ongoing)
Tests run until the pre-set sample size and 95% confidence threshold or the hard stop date. Post-test analysis covers segment-level results (new vs returning, mobile vs desktop, paid vs organic) before any winner is called. Each test ends with a one-page report.
- 05
Implementation of winners and post-test monitoring (ongoing)
Winning variants moved from VWO or Optimizely overlay into a Liquid or React pull request, reviewed and merged by your engineers. Then a 30-day post-test monitoring window with a holdout cohort to confirm the lift is not test-novelty decay.

Think of us as yourfractional head of experimentation.
We sit between your growth team and your engineering team. Hypothesis backlog ranked by impact-to-effort. Test infrastructure that does not poison your analytics. Monthly uplift scorecards in EUR per visitor. The role a CRO manager fills inside Booking.com, made fractional for companies that are not Booking.com yet.
What CRO actually means
Conversion rate optimization, explained without the design-studio fluff
When you hire a CRO agency you are buying experimentation capacity, statistical discipline and shipped winners. Different from hiring a design studio (where the output is aesthetic) and different from hiring a growth marketer (where the output is acquisition). The model is fractional head of experimentation: a senior practitioner who owns conversion alongside your team.
A/B testing vs multivariate testing
A/B compares one variant against the control. Multivariate (MVT) tests many element combinations at once. A/B is what most companies should run 90% of the time because traffic volumes rarely support MVT statistical power. We will tell you which one fits your traffic, not sell you MVT because it sounds advanced.
Sample size and statistical significance
A test on 200 sessions and a 12% conversion rate cannot detect a 10% relative lift inside three months. We calculate sample size with Evan Miller's calculator or VWO's built-in calculator before the test launches, and we tell you up front whether the test is worth running given your traffic.
Heatmaps vs session recordings
Heatmaps (Hotjar, Microsoft Clarity) show aggregate click and scroll behaviour, useful for above-the-fold attention. Session recordings (Fullstory, Hotjar) show individual journeys, useful for diagnosing one specific funnel drop. We use both; neither alone is enough.
Friction audit vs redesign
A friction audit identifies the three to five highest-leverage micro-frictions: slow form fields, mandatory account creation, confusing trust signals, unclear shipping costs. A redesign rewrites everything at once and makes attribution impossible. Friction audits ship faster and produce defensible lifts.
CRO vs SEO tradeoffs
A done-right CRO test does not hurt SEO. A done-wrong CRO test (cloaking variant content from Googlebot, swapping H1s that match ranking queries, killing internal links that pass equity) absolutely can. We coordinate test design with the SEO team before launch to keep both channels intact.
What to expect from the first 90 days
First 30 days: friction audit, hypothesis backlog, testing infrastructure. Days 30-60: first two tests live, first results read. Days 60-90: second wave of tests, first winner shipped to the codebase. Compound uplift starts in months 4-6 once three to five winners are stacked.
Why LASEO vs alternatives
CRO agencies compared honestly
Design studios, growth-marketing agencies and in-house teams all have legitimate use cases. Here is where LASEO fits and where it does not.
Redesigns called CRO
- Hero image, headline copy, button colour. Above-the-fold cosmetics that rarely move bottom-line revenue.
- Calls winners after 3-5 days on a few hundred visitors. No sample-size calculation, no confidence threshold, no segment analysis.
- Conversion rate percentage. No revenue attribution, no AOV adjustment, no EUR figures.
- Winning variant left running indefinitely as a VWO or Optimizely overlay, breaking on tag-manager outages.
- Landing pages and homepage. Cart, checkout and post-purchase rarely touched.
- Quietly dropped from the report. Only winners shown.
Tests with statistical rigour
- Form fields, checkout steps, trust signals, shipping cost reveal, account-creation friction. The friction that actually drops people out of the funnel.
- Sample size calculated before the test launches. 95% confidence threshold or pre-set stop date. Segment-level analysis on every result.
- Revenue per visitor (RPV) and absolute incremental euros per month per winning variant. Your CFO can audit every line.
- Winners shipped as Liquid, React or Vue pull requests into your production build. Variant code in your repo, not in a client-side script.
- Whole funnel: PDP, cart, checkout, account creation, post-purchase, email triggers. The biggest revenue lifts almost always live below the fold.
- Every failed test logged with the hypothesis, the variant, the result and the lesson. Failure rate around 6 in 7 is normal and shown honestly.
Topical cluster
Services we deliver in this pillar
A/B Testing
We calculate sample size before launch and do not peek at results midway. Most agencies do neither, and call w
Landing Page Optimization
Landing page SEO and conversion on one URL. SERP intent for organic, message match for paid, schema and CWV on
UX Audit
Heuristic evaluation, WCAG 2.2 AA accessibility check and 50+ session recordings. Each issue ranked by lost re
CRO programmes at scale
Conversion optimisation work that paid back the retainer in months
What our CRO clients say
Senior experimentation in their own words
Our previous CRO agency redesigned our checkout and added 11% to conversion in their report. LASEO re-ran the test properly and found the lift was actually 1.4% with a 73% confidence level. Then they fixed our shipping-cost reveal and added 8.2% RPV that held in the 30-day post-test window.
First quarter with LASEO we shipped three winning variants worth roughly EUR 42,000 in incremental monthly revenue. The variant code is in our Shopify theme now, not in a VWO snippet. That alone made the retainer pay itself back twice over.
What I value most is the honesty about failed tests. They run six tests, one wins, they tell us exactly why the other five did not, and the backlog gets sharper every quarter. Most agencies hide the losers.
Our previous CRO agency redesigned our checkout and added 11% to conversion in their report. LASEO re-ran the test properly and found the lift was actually 1.4% with a 73% confidence level. Then they fixed our shipping-cost reveal and added 8.2% RPV that held in the 30-day post-test window.
First quarter with LASEO we shipped three winning variants worth roughly EUR 42,000 in incremental monthly revenue. The variant code is in our Shopify theme now, not in a VWO snippet. That alone made the retainer pay itself back twice over.
What I value most is the honesty about failed tests. They run six tests, one wins, they tell us exactly why the other five did not, and the backlog gets sharper every quarter. Most agencies hide the losers.
Plan for 6-10 weeks from kickoff to your first read-out. Weeks 1-3 cover the friction audit and hypothesis backlog. Weeks 3-5 cover testing infrastructure setup in VWO or Optimizely. The first test typically launches in week 5 or 6 and runs 2-4 weeks depending on traffic volume and the expected lift size. Tests on lower-traffic pages, like B2B contact forms, can take longer because the sample size requires more time to accumulate. We will tell you up front whether a hypothesis is worth running given your traffic; some pages are simply too small for proper testing and need qualitative research instead.

CRO diagnosis call
Bring a conversion problemto a senior experimenter.
30 minutes with a LASEO senior CRO specialist. We will not pitch. We will diagnose the three biggest friction points in your funnel, suggest the order to test them, and tell you whether your traffic supports proper experimentation right now.













