Web Analytics
Creative thinking, digital technology and practical execution for modern brands.
Web Analytics
Measure what matters: leads, traffic, actions and channel contribution.
When numbers exist across tools but nobody knows which should guide decisions.
We create a measurement plan and clean up tracking around concrete user actions, with consent and data quality as prerequisites.
Core deliverables
- Measurement plan and KPI definitions
- GA4/GTM review or setup within scope
- Event and conversion naming
- Consent-aware tracking QA
- Analysis and recommended next action
Before we recommend a scope
When this fits
When the business makes digital decisions without confidence that the most important actions are measured consistently.
First decision
A measurement plan covering events, conversions, consent and data sources comes before dashboards and reports.
When we should choose something else
If measurement is unreliable or data volume is too weak, the data foundation should be improved before drawing strong conclusions.
How we move from observation to improvement.
- Question & measurement — We document the definition, data source and refresh cadence for each important metric before visualizing it.
- Data quality — We connect this part to a clear metric or hypothesis and document what the data actually supports.
- Hypothesis & priority — We connect this part to a clear metric or hypothesis and document what the data actually supports.
- Implementation / test — We test critical user flows, mobile behaviour and technical requirements before launch or handover.
- Interpretation & decision — We connect this part to a clear metric or hypothesis and document what the data actually supports.
Practical framework
Data foundation
access to analytics/tag manager where relevant, business goals, key actions, consent setup and existing reports
Decision signals
data quality, event coverage, consistency between sources and reporting on agreed business goals
Uncertainty & interpretation
Measurement depends on correct implementation, consent and data access. Experiments are interpreted according to actual data volume and uncertainty — not as guaranteed uplifts.
FAQ
When is Web Analytics the right next step?
When the business makes digital decisions without confidence that the most important actions are measured consistently. A measurement plan covering events, conversions, consent and data sources comes before dashboards and reports.
What do you need from us before starting?
We clarify access to analytics/tag manager where relevant, business goals, key actions, consent setup and existing reports. If something is missing, we explain what can be done without it before scope and price are approved.
What do we concretely receive?
The core delivery is normally built around Measurement plan and KPI definitions, GA4/GTM review or setup within scope, Event and conversion naming. Exact included and excluded work is confirmed in writing before starting, and we follow relevant signals such as data quality, event coverage, consistency between sources and reporting on agreed business goals.
How certain can we be about the effect?
Measurement depends on correct implementation, consent and data access. Experiments are interpreted according to actual data volume and uncertainty — not as guaranteed uplifts.