Web Analytics Setup
Every marketing decision you make rests on numbers that come out of your analytics, which is why a bad setup is more expensive than no setup at all: it produces confident answers that happen to be wrong. Web analytics done properly means the data matches reality, and everyone reading a report is reading the same thing.
What web analytics setup involves
We implement GA4 and tag management from the ground up or repair what is already there: event taxonomy that matches how your business actually works, ecommerce or lead tracking with values rather than counts, cross-domain and cross-device handling, channel groupings that reflect your real channels, and filtered internal traffic. Where accuracy matters enough to justify it, we move tracking server-side.
Connecting spend to revenue
Analytics is only useful when it closes the loop back to the money. We connect ad platforms, CRM and offline conversions so that cost, lead quality and closed revenue sit in the same view, which also gives automated bidding in PPC management something worth optimising towards.
Consent and data quality
Consent mode, cookie banners and regional requirements change what you are allowed to collect and how modelling fills the gaps. We configure this deliberately rather than leaving defaults in place, following Google’s consent mode documentation, so reporting stays both compliant and interpretable.
Reporting people actually use
We build dashboards around the decisions your team makes weekly, not around every metric available. Reports are documented so a new person can read them without a handover call. If you want reporting built out further, see Looker Studio reports, and if the numbers point at conversion problems, conversion rate optimization is the next step.
