Analytics
What Analytics Should Actually Do
Analytics is not about dashboards, charts, or reporting for the sake of visibility. Its only purpose is to support better decisions.
Most setups fail because they track everything equally — noise and signal mixed together. The result is data overload, false confidence, and decisions based on assumptions instead of evidence.
My role is to turn analytics into decision infrastructure: clear, reliable, and aligned with how your business actually generates value.
How I Approach Analytics
I start from the business model, not from tools. Before implementing anything, I map your funnel, acquisition channels, and decision points.
Only then do I design the tracking architecture — ensuring every event, conversion, and metric has a clear purpose and a clear owner.
What I Build
Tracking & Measurement
- GA4 setup aligned with your funnel
- Event and conversion architecture
- Google Tag Manager implementation
- Spam and data hygiene controls
Insight & Decision Layer
- Custom dashboards focused on actions
- Channel and campaign attribution clarity
- Behavior analysis across key journeys
- Clear signals for optimization and scale
Why This Matters
Trust Before Optimization
If data is unreliable, optimization becomes guesswork. Accuracy comes first.
Clarity Over Volume
Fewer metrics, clearly defined, always beat dozens of charts no one uses.
Built for Long-Term Use
The system is designed to scale with your business, not break when complexity increases.
If decisions matter, analytics cannot be an afterthought.