About Metricized
A founder-led practice for clearer marketing decisions.
Metricized helps businesses make marketing analytics and reporting more useful, understandable, and accountable—from source data to the decisions a team needs to make.
- Founder-led
- Evidence-led
- Human-reviewed
Reporting should support a real decision.
- Context
- Definitions
- Evidence
- Next step
The work
Practical analysis before a bigger reporting investment.
Many reporting problems are not solved by adding another dashboard. They start with unclear definitions, unreliable sources, manual processes, or an unanswered business question.
Metricized scopes work around the decision, the available evidence, and the people who will use the result. The goal is a reporting practice that remains understandable after the engagement.
Relevant experience
The capability is broad. The scope stays specific.
Leonel’s experience spans the marketing measurement and reporting work that often sits between platforms, data, and business decisions.
Measurement and reporting
Marketing analytics, GA4, search and advertising reporting, KPI definitions, and reporting interpretation.
Dashboards that get used
Looker Studio, Power BI, dashboard UX, reporting structure, and practical customizations.
Data foundations
Data modeling, Google Cloud, BigQuery, custom integrations, and source-level diagnostic work.
Marketing context
SEO strategy, acquisition reporting, and the connection between data and decisions.
Founder-led, evidence-led.
How the work is held accountableAccountability
The person making the recommendation stays close to the evidence.
- Start with the decision
Clarify the question, audience, constraints, and practical next action before proposing a tool or deliverable.
- Validate the inputs
Review metric definitions, source limitations, and reporting assumptions before treating a number as a recommendation.
- Leave useful ownership behind
Frame the work so the responsible team can understand, maintain, and use the result after delivery.
Responsible use of AI
Useful assistance does not remove human responsibility.
AI may accelerate research, analysis, documentation, and quality assurance. Metric definitions, source validation, data handling, and final recommendations remain human-reviewed and accountable.
Public work
Useful guidance is stronger than manufactured proof.
Metricized does not use unsupported client logos, performance claims, or generic agency language. Public articles and clearly labelled examples show how reporting problems are approached.
Start with the reporting problem
Tell Metricized what needs to be understood or improved.
Describe the decision, current reporting, and main limitation. Inquiries are reviewed before scope or scheduling is proposed.