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Conversion Rate Optimization
A/B TestingUX AuditsFunnel Analysis

Services d'optimisation du taux de conversion

Convertissez votre trafic existant en revenus

34%
Avg. Conversion Lift
Across client engagements
200+
Tests Shipped
SaaS & ecommerce
< 4 wk
First Test Live
From kickoff
3.2×
Avg. ROI
Within 90 days
What Is Conversion Rate Optimization?

CRO is the process of getting more of your existing visitors to do what you actually want — buy something, sign up, request a demo. It combines analytics, user research, and A/B testing to find where your funnel breaks down and fix it with something that works better. The compounding effect is real: each improvement makes every future visitor worth more.

Où les projets échouent

You're spending $50K+/month on paid acquisition and your landing pages are converting below 2% Every month you wait is budget that could be generating 30-50% more revenue.
Your SaaS trial-to-paid conversion is stuck under 5% and you can't pinpoint why Competitors with tighter onboarding are scooping up the same leads at a lower CAC.
Product and marketing can't agree on what to change, so decisions come down to whoever argues loudest You ship a redesign that looks great, it performs worse, and you've just burned weeks of engineering time.
Cart abandonment is sitting above 70% and your recovery emails aren't doing much You're hemorrhaging revenue at the last step while spending more to fill the top of funnel.
You've never run a statistically valid A/B test — changes just ship You can't tell what's working from what's noise, so regressions slip through unnoticed.
Mobile converts at half the rate of desktop, but 60% of your traffic is mobile You're essentially paying double for every mobile visitor.

Conformité

Full-Funnel Analytics Audit

We instrument your entire funnel with event tracking and identify exactly where users drop off. You get a prioritized list of leaks, ranked by revenue impact.

Heatmap & Session Recording Analysis

We deploy Hotjar or PostHog to record real user behavior — clicks, scrolls, rage clicks, dead zones. Those patterns go straight into our test queue as hypotheses.

Hypothesis-Driven A/B Testing

Every experiment starts with a written hypothesis, an expected lift, and a statistical power calculation. We run tests in Statsig or PostHog and don't call results until they're valid.

Landing Page Redesign & Build

We design and build high-performance landing pages in Next.js, tuned for Core Web Vitals and conversion. No drag-and-drop templates — actual engineering.

SaaS Onboarding Optimization

We map your activation flow, find time-to-value bottlenecks, and test changes to onboarding steps, empty states, and upgrade prompts. The goal is getting more users to their aha moment, and getting them there faster.

Ecommerce Checkout Optimization

We tackle cart abandonment through checkout simplification, trust signal placement, payment option expansion, and shipping cost transparency testing.

Ce que nous construisons

Quantitative Funnel Analysis

Segment-level drop-off analysis across acquisition channels, device types, and user cohorts — so you know exactly where revenue's leaking and why.

Qualitative User Research

Five-second tests, user interviews, and surveys to understand the why behind what behavioral data shows.

Rapid Prototyping in Figma

Interactive prototypes for stakeholder alignment before any code gets written. Kill bad ideas early, deliberately.

Server-Side A/B Testing

Flicker-free experiments rendered at the edge, so testing doesn't degrade page performance or skew your results.

Revenue Attribution Reporting

Monthly reports tied to incremental revenue — not click-through rates or other metrics that don't pay the bills.

Continuous Test Velocity

We keep a prioritized backlog and ship 4-6 tests per month, stacking gains quarter over quarter.

Notre processus

01

Audit & Instrument

We audit your analytics, fix tracking gaps, deploy heatmaps, and build a baseline conversion model. You get a research report with your top 10 revenue opportunities.
Week 1-2
02

Hypothesize & Prioritize

We score opportunities using ICE (Impact, Confidence, Effort) and build a 90-day test roadmap. Each hypothesis includes expected lift, target segment, and success criteria.
Week 2-3
03

Design & Build Tests

We design variants in Figma, build them in Next.js or your existing stack, and configure experiments with proper statistical controls. Everything gets QA'd on real devices before anything goes live.
Week 3-4
04

Run & Analyze

Tests run until statistical significance is reached — no peeking, no early calls. We analyze results by segment, document what we learned, and ship winners to production.
Week 4-6
05

Iterate & Compound

Winning tests feed the next round of hypotheses. We update the roadmap monthly and present revenue impact reports. The cycle gets faster as we build up knowledge of your users.
Ongoing
Next.jsVercelPostHogGoogle OptimizeHotjarStatsigSupabaseFigma

Questions fréquentes

Combien de temps avant de voir les résultats de la CRO ?

La plupart de nos clients voient leur premier résultat statistiquement significatif dans les 4 à 6 semaines. Un impact revenu significatif s'accumule généralement après 90 jours à mesure que les tests gagnants s'empilent. La rapidité dépend de votre volume de trafic — plus de trafic signifie une signification plus rapide et une itération plus rapide.

Quel est le trafic minimum nécessaire pour les tests A/B ?

Vous aurez besoin d'au moins 10 000 visiteurs mensuels sur les pages testées. En dessous de cela, les tests prennent trop longtemps pour atteindre la signification. Pour les sites à faible trafic, nous utilisons les tests utilisateurs, l'analyse heuristique et les tests séquentiels pour progresser sans attendre des mois pour les données.

Travaillez-vous avec nos outils analytiques existants ?

Oui. Nous travaillons avec GA4, Mixpanel, Amplitude, PostHog, Segment et la plupart des grandes plateformes analytiques. Si votre suivi présente des lacunes — ce qui est généralement le cas — nous corrigeons l'instrumentation pendant l'audit. Nous recommandons des outils qui correspondent à votre stack, pas au nôtre.

En quoi la CRO est-elle différente d'une refonte de site web ?

Une refonte change tout d'un coup en fonction de suppositions. La CRO teste les changements individuels par rapport à votre baseline actuelle et ne déploie que ce qui fonctionne mesurément mieux. Les refontes blessent souvent la conversion car trop de variables changent simultanément. Nous privilégions les améliorations incrémentielles et basées sur les preuves à la place.

Et si un test échoue — devons-nous toujours payer ?

Oui, mais les tests perdus ne sont pas gaspillés. Ils vous empêchent de déployer quelque chose qui aurait endommagé vos revenus et génèrent des insights réels pour le prochain test. Notre travail consiste à exécuter un grand volume d'expériences bien raisonnées. Les taux de victoire de l'industrie se situent autour de 20-30% — nous atterrissons régulièrement entre 35-40%.

Pouvez-vous optimiser notre flux d'onboarding SaaS spécifiquement ?

Absolument. L'onboarding SaaS est l'un de nos domaines de concentration clés. Nous cartographions votre tunnel d'activation, trouvons où les utilisateurs abandonnent avant d'atteindre leur aha moment, et testons les changements across onboarding steps, empty states, tooltips, email sequences et upgrade prompts. La conversion trial-to-paid est généralement la métrique à plus grand effet de levier sur laquelle nous travaillons.

CRO Engagements from $6,000/month
Fixed monthly fee. No hourly billing. Cancel anytime after 90 days.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationEcommerce DevelopmentCore Web Vitals Complete Guide 2026

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