DATA & ANALYTICS
Turn data into decisions: clean tracking, trustworthy dashboards, and insights your team can actually use.
Published: · Reading time: ~6–8 minutes
The goal: clarity, not more charts
Data & analytics should answer questions that drive action: where leads come from, where users drop off, what features matter, and what to improve next.
A strong analytics foundation
- Event tracking: clear names, consistent properties, and ownership.
- Conversion goals: define what success looks like (leads, signups, purchases).
- Data quality: filter bot traffic, reduce duplicates, fix broken tags.
- Privacy: respect consent requirements and limit sensitive data collection.
Dashboards that teams actually use
Dashboards work when they’re opinionated and simple. We usually build:
Executive overview
Traffic, leads/revenue, conversion rates, and trends.
Funnel & retention
Where users drop off, returning users, and cohort health.
Acquisition
Channel performance, campaigns, and landing page conversion.
Product usage
Feature adoption, engagement signals, and error hotspots.
Our workflow
- Define questions: what decisions should analytics support?
- Audit tracking: find missing events and data quality issues.
- Implement: events, goals, dashboards, and documentation.
- Review: confirm accuracy with real flows and sample data.
If you can’t trust the numbers, optimization becomes guesswork. Data quality comes first.
FAQ
Yes—lead/conversion tracking can be implemented end-to-end, including attribution where possible.
Tracking can be implemented efficiently. We keep events minimal and avoid heavy scripts when possible.
Yes—dashboards can be tailored by role (marketing, sales, product) with clear definitions and ownership.