Data and analytics
Decisions from numbers, not from the loudest voice in the room.
You cannot improve what you cannot see. I set up the tracking, dashboards and unit economics that tell you what is working, what is leaking, and what to do next.
This is for you if
- ·You are making product and spend decisions with no reliable numbers
- ·Your analytics exist but nobody trusts or reads them
- ·You are raising and investors are asking questions you cannot answer
What we build together
- ·Event tracking and schema designed around your funnel, not a template
- ·Unit economics model: CAC, LTV, payback, contribution margin
- ·Cohort and retention analysis that shows where users drop and why
- ·One dashboard the whole company runs on
- ·Investor-ready metrics pack for fundraises and board updates
You walk away with
A company that argues about answers, not about whose number is right.
Why me
I ran data, pricing and unit economics at invygo through $70M+ of institutional diligence.
Other engagements
SEO and organic growth
Customers who find you without a media budget.
LLM and agentic AI builds
AI that does work, not AI that does demos.
Hiring and first-team design
The first ten hires decide the next ten years.
Growth engineering
A funnel you can see, and an experiment loop that never stops.
Product and roadmap
Build the right thing next, and stop building the rest.
Backend and architecture
The stack decisions that are cheap now and expensive later.