01
Measurement plans and event design
Service 06
Analytics
Measurement systems that make traffic, funnels, and decisions easier to trust.
Without reliable measurement, teams are forced to guess. Good analytics should explain what users do, which channels perform, where friction exists, and which decisions can be made with confidence.
Decision-making focus
A clearer engagement around the business problem, the current setup, and the smallest workable change that still improves the system.
Problems solved
Measurement plans and event design
Tracking, consent, and attribution setup
Dashboards and reporting for teams
Core outcomes
What this service is designed to improve.
The work is structured around delivery outcomes that are easier to understand, scope, and act on than a generic feature list.
02
Tracking, consent, and attribution setup
03
Dashboards and reporting for teams
What this work covers
Without reliable measurement, teams are forced to guess. Good analytics should explain what users do, which channels perform, where friction exists, and which decisions can be made with confidence.
What this service covers
Analytics is not just a dashboard problem. It touches privacy, data quality, campaign measurement, technical implementation, and how teams actually interpret the numbers they collect.
I help set up measurement plans, event models, tracking implementations, dashboard structures, and reporting practices that make business, marketing, and product decisions easier to justify.
This can include analytics platform setup, consent-aware tracking, campaign attribution cleanup, conversion definition, event QA, tag governance, and reporting design for leadership, operations, and marketing teams.
Typical outcomes
- clearer measurement strategy and event planning
- more reliable traffic, campaign, and conversion tracking
- improved reporting for business, product, and marketing decisions
- stronger trust in the data used for optimization and budgeting
- better visibility into search, content, user behaviour, and funnel performance
Typical fit
This service is useful when teams have analytics tools installed but do not trust the data, cannot answer basic performance questions, or need a cleaner, more privacy-conscious measurement model.
Relevant reading
Blog posts that support this service.
Selected from the archive based on the service topic, outcomes, and the blog categories most closely tied to this work.
How to Compare Matomo, Plausible, and PostHog for a Privacy-First Stack
Matomo, Plausible, and PostHog solve different analytics problems, so the right choice depends on reporting depth, privacy, and product tracking needs.
How to Build an Analytics Hub With Google Tag Manager and Looker Studio
Google Tag Manager and Looker Studio work best as the center of a simple measurement system with clear reporting and naming rules.
How to Combine Google Ads, Search Console, and Looker Studio for Better Decisions
Google Ads, Search Console, and Looker Studio work best when they answer one question at a time instead of trying to cover everything at once.
Next step
If Analytics looks close to the current bottleneck, start with context.
Share what the team is building, where delivery or operations are getting stuck, and what constraints already exist. The goal is to turn that into the clearest first move instead of a vague engagement.