Analytics & Data
Data-driven insights and measurement
Aperçu
Most analytics setups were configured once, extended under pressure, and never audited. The data looks complete and is quietly wrong: duplicate events, internal traffic counted, conversions firing on page load. Everything built on top of it inherits the fault.
The work here is unglamorous and decisive. Design events around the decisions you actually make, validate the numbers against something you know is true, recover what browser restrictions have taken away, and then analyse rather than merely report.
À qui cela s'adresse
- Companies whose analytics disagrees with their own sales figures
- Advertisers whose reported conversions fell without sales falling
- Teams with several dashboards and no number anyone trusts
Ce que nous couvrons dans Analytics & Data
Chaque entrée détaille le périmètre, les livrables habituels et le déroulement.
Digital Analytics
Analytics implemented so the numbers can be trusted: events designed deliberately, consent handled correctly, and reporting that answers a question someone actually asked.
Performance Tracking
Knowing what each channel and campaign actually produced: consistent tagging, conversions defined once, and reporting that survives someone changing a URL.
Attribution Modelling
Working out what each touchpoint contributed, choosing a model that fits your sales cycle, and being clear about what attribution can and cannot tell you.
Privacy-Compliant Tracking
Measurement that works within consent rules rather than around them: consent handled properly, data minimised, and modelling used for what consent removes.
Server-Side Tracking
Moving measurement off the browser: a server-side container, platform conversion APIs, and control over what data leaves your infrastructure.
Data Visualisation
Dashboards and reports people actually read: built around a decision, honest about uncertainty, and readable at a glance without a legend of caveats.
CRM & CDP Integration
Joining marketing data to what happened afterwards: identity resolved, records synchronised both ways, and closed-won data fed back where it changes decisions.
Marketing Performance Analysis
Reading the data rather than collecting it: finding what actually changed, what caused it, and what to do differently next quarter.
Questions fréquentes sur Analytics & Data
Ce qu'on nous demande avant de nous contacter. Si votre question n'y est pas, posez-la nous directement.
Why does our analytics not match our sales figures?
Usually a combination of consent rejection, ad blockers, cross-device journeys and attribution windows, plus implementation faults. A gap is normal; a large or unstable one indicates something fixable, and we quantify each cause rather than accepting it.
Can attribution tell us what caused a sale?
No. Attribution allocates credit among touchpoints you can observe, which is useful for steering. Causation needs a holdout test, and arguing about attribution models is usually a substitute for running one.
Do we need a customer data platform?
Less often than they are sold. For most mid-sized companies a well-integrated CRM plus a warehouse does the same job for considerably less.
Livraison multi-marchés
Des équipes qui ont livré dans plusieurs régions, langues et cadres réglementaires.
Auditable dès la conception
Sécurité, accessibilité et confidentialité sont traitées pendant la construction, pas ajoutées avant l'audit.
Mesuré, pas supposé
Chaque mission fixe son indicateur de réussite avant de commencer.