Analytics Implementation
What we've learned so far
Analytics is what makes every other decision easier. Without trustworthy numbers you are choosing between opinions, and the cost of that shows up as money spent on channels that do not convert, features built for users who never asked, and arguments that recur monthly because nobody can settle them with evidence. The return is not the dashboard. It is the meetings that stop happening.
Most analytics problems we are asked to fix are definition problems rather than measurement problems. Two dashboards disagree because one counts sessions and the other counts users, or a conversion fires on a page customers sometimes reach twice. We write the definitions first, in the client's own language, and get them agreed before a single tag is placed. It is unglamorous and it is the difference between a stack people use and one they argue with. The second reality is that consent requirements and browser restrictions have made naive client-side tracking unreliable in Europe. Building as though that is not true produces numbers that quietly understate reality and decisions taken on a fraction of the truth. That is an architecture question, not a plugin question.
Tools now generate dashboards, summarise trends and answer questions in plain language, which is genuinely useful and raises the stakes on what sits underneath. A model reading badly defined data will explain the wrong number fluently and with confidence. The value has moved from producing reports to guaranteeing the inputs, and to choosing the small set of figures a business should actually run on rather than measuring everything because it is now easy to.
What this can involve
Reporting and Insight Reviews
Behavioural Analytics
Funnel Analysis
Dashboard and Reporting Setup
Analytics Implementation
Server-side Tracking
GA4 Implementation
Measurement Planning
KPI Framework Design
Session Recording and Heatmap Analysis
How we work
Understanding your requirements
The handful of questions the business actually has to answer. Everything that gets tracked works backwards from those, rather than from what is easy to instrument.
Write the tracking plan
Every event, what triggers it, what it carries and what it is called. Agreed before anything is built, so the naming does not drift as features ship.
Implement and verify
Tags, events and conversions built and then checked against real behaviour, because an event that fires twice is worse than one that does not fire at all.
Handle the restrictions
Server-side tracking where consent and browser restrictions are losing signal, so the numbers reflect what happened rather than what survived.
Hand over the documentation
What exists, what it means and how to add the next one, so the setup stays coherent after we leave.
Where this isn't the right fit
If nobody looks at the numbers, better numbers will not change anything. Analytics is only worth paying for where a decision is waiting on it, and an unread dashboard is an expensive one.
If what you need is a report built from data you already collect correctly, that is reporting work rather than implementation. And if you want tracking that ignores consent requirements, we will not build it. Aside from the legal exposure, it produces data you cannot use in the places it matters.
