Digital Strategy & Growth
What this is
We set up analytics and measurement: tracking implementation, event and conversion design, dashboards, attribution modelling, and the reporting cadence that turns numbers into decisions rather than into slides.
Before any dashboard is worth building, someone has to decide what counts as a conversion, a qualified lead or an active customer. Skipping that produces reports that are internally consistent and commercially useless.
Agreement on what a number means matters more than the tool measuring it.
Every recurring report should have an action it could plausibly trigger.
Treat it as a guide to where budget should shift, not as an exact accounting of credit.
Use cases
Analytics installed but never genuinely used
Different teams reporting contradictory numbers
No reliable read on which channels contribute
Manual report assembly consuming days each month
What this is
Technology
Analytics
Reporting
Relevant work
How it runs
The decisions the business needs to make, and the metrics that inform them.
Tracking, events and consent handling built and verified against real traffic.
Dashboards designed around decisions rather than around available fields.
A cadence where numbers are discussed and something actually changes.
What it should achieve
Numbers every team agrees on
Reporting that changes decisions
A defensible view of channel contribution
Reports produced without manual assembly
Related capabilities
Questions
Usually. An audit of existing implementation is normally the first step, and it often uncovers why historical numbers looked wrong.
Scopus assistant
Simulated — scripted, not a live model
