.02 Data
Data analytics consulting for startups that want to decide with data
Data analytics consulting for startups: I help you with digital analytics, advanced analytics, and web analytics to define key metrics, set up KPIs, and speed up data-driven decisions.
The problem
Do you have dashboards, but not decisions?
You have Google Analytics, Mixpanel, Amplitude, Metabase... and ten dashboards nobody looks at. The data is there, but data-driven decision making doesn't happen: decisions are still made by intuition.
There's no consensus on what metrics a startup should measure. Each team member looks at different numbers, and nobody knows if the product is doing well or poorly across acquisition, activation, and retention.
When someone asks "how was the launch?", the answer is "seems like it went well" instead of concrete data.
Signs you need help
- You have analytics tools but nobody uses them regularly
- You don't know if a feature was successful after launching it
- Each stakeholder has their own definition of success
- Tracking is broken or incomplete and nobody fixes it
- Decisions are based on opinions, not evidence
The solution
Digital analytics and decision-making in 3 steps
It's not about having more data, but having the right data and knowing what to do with it.
Metrics definition
We identify the north star metric that aligns the entire team, and the secondary metrics that support it.
- • North star metric and metrics tree
- • Measurement plans and KPIs by area (growth, engagement, retention)
- • Attribution models and success criteria for experiments
Startup analytics setup
We design the data architecture needed to measure your digital product with reliable and actionable data.
- • Current tracking audit
- • Events and properties plan oriented to digital analytics
- • Operational dashboards (not decorative)
Data-driven culture
We create business intelligence rituals and processes so data is used day-to-day, not only in presentations.
- • Weekly metrics reviews
- • Experimentation process
- • Learning documentation
What changes when you apply a data-driven strategy
📊 Guide: Metrics for Startups
What metrics a startup should measure, how to define digital product KPIs, and north star metric examples.
Download guideComing soon
Metrics clarity
The whole team knows what number matters and why. No more discussions about what to look at.
Tracking that works
Events configured correctly, without duplicate data or gaps. Data you can trust.
Faster decisions
When data is clear, decisions are made in minutes, not in 2-hour meetings.
Experimentation culture
A process to test ideas, measure results, and learn from each launch.
When it fits
- ✓You have a product in production — with real users generating data you can analyze.
- ✓You want to grow with foundation — not just "move fast", but learn from each action.
- ✓The team is willing to change — adopt new data-based processes and rituals.
When it doesn't fit
- ✗You're looking for a traditional analytics agency — this is about data-driven decisions, not operating as an analytics agency focused only on report delivery.
- ✗You don't have users yet — without user data, there's not much to analyze.
- ✗You're looking only for AI consulting — this is practical analytics for business; if your only focus is AI consulting, artificial intelligence, or analytics AI, this is not the right service.
Want to make better decisions?
Let's talk about your current data situation and see how to improve it.
