Actionable product analytics
We instrument product events with a clean model to understand what users really do, which features hook them and which are dead weight. Behavioural data, not guesses.
Data & Analytics · SaaS & Startups
Data and Analytics for SaaS & Startups
We set up your SaaS's modern data foundation: product analytics, churn and activation, north-star metrics and self-service analytics so the team decides with data, not opinions.
THE CHALLENGE
The challenges of SaaS & Startups
SaaS startups need to reach the market fast without mortgaging the future with technical debt. The software must iterate quickly, scale in multi-tenant and sustain a solid technical story for investors.
- Speed to market without technical debt
- Scaling the architecture (multi-tenant)
- Keeping cloud costs under control
- Iterating fast with data
- A solid base to raise investment
How we help you
In a SaaS startup, deciding blind is a luxury you can't afford: every iteration counts and investors ask about the numbers. We set up a modern data warehouse and the product analytics layer you need to understand how your users activate, stay or leave. From the north-star metric to churn and activation analysis, with self-service analytics so product, growth and leadership answer their own questions without depending on a bottleneck. A solid foundation to iterate fast today and to scale the analysis tomorrow.
Churn and activation under control
We measure activation, retention and churn by cohort to know where people are lost and what moves the needle, so you can intervene before the user has already gone.
North-star metric and focus
We define the north-star metric and its driver tree so the whole team rows toward the same number, aligning product, growth and business around what matters.
Modern data warehouse and self-service
A modern warehouse with versioned modelling and self-service dashboards, so anyone can answer their questions without waiting for an analyst or touching SQL.
WHAT YOU GAIN
Data & Analytics, results-driven
- Reliable, consistent data in a single place
- Dashboards that answer business questions
- Actionable metrics, not vanity ones
- Maintainable, documented pipelines
- A solid foundation for advanced analytics and AI
FAQ
Frequently asked questions
What is the north-star metric and how do we define it?
It's the number that best captures the value you deliver to your users and that guides the team's decisions. We help you define it and build its driver tree, so product, growth and business work aligned toward the same goal.
Can you set up a data warehouse from scratch?
Yes. We set up a modern data warehouse with versioned, documented data modelling, integrating your product, marketing and billing sources into a single reliable place, ready to grow with the startup.
How do you measure churn and activation?
We instrument the product's key events and analyse activation, retention and churn by cohort, to identify where and why users are lost and which levers truly move retention.
What is self-service analytics and why do we need it?
It's giving your team reliable dashboards and metrics to answer their own questions without depending on an analyst. It reduces the data bottleneck and lets the whole organisation decide faster and with better judgement.
Do you start from scratch or integrate our data sources?
We integrate what you already have: databases, events, SaaS tools and spreadsheets. We unify the sources into a coherent, reliable data model.
Which dashboard tools do you use?
We use the tool that best fits your team and budget, from open source solutions to cloud platforms, prioritising that people actually use them.
Shall we build something that scales, together?
Tell us about your project. We'll get back to you with a concrete plan and a senior team — not a generic quote.