Most startups run on gut feel because their data is a mess of half-fired pixels and conflicting dashboards. We build the measurement foundation that tells you what is actually driving growth, so every dollar of runway gets spent on what works.
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The Problem
Early-stage teams move fast and instrument later. Tracking gets bolted on between launches, events fire twice or not at all, and three tools report three different numbers for the same week. By the time you are raising or scaling spend, no one can say which channel actually drove the signups that matter, and the board wants an answer.
We fix the foundation before we touch the dashboards. Our analysts and our in-house dev team work side by side to rebuild your event tracking, define one source of truth for activation and CAC, and wire attribution that survives a pivot. When the model needs a change, the same team that designed it ships the fix that day instead of filing a ticket you wait two weeks on.
Our Approach
We map every event from first touch to activation, find what is broken or missing, and rebuild clean tracking with our dev team. You get one definition of a signup, a qualified lead, and an active user that the whole company agrees on.
We design dashboards around the three or four metrics that actually predict your growth, not vanity counts. Founders, marketers, and investors all read from the same numbers, with attribution that connects spend to revenue across the full funnel.
Markets shift and so does your model. Because strategy and engineering sit under one roof, we test, refine, and ship changes to tracking and reporting the same day, so your data keeps pace with how fast you move.
Proof
When Acre AI needed to go from zero to market, we owned the strategy and the build together, standing up the measurement and growth foundation that took the AI startup from launch to its first customers.
Common Questions
What Startups teams ask us most about Data & Analytics.
Earlier is cheaper. Fixing tracking before you scale spend means you never burn runway on channels you cannot measure. We instrument the foundation now so that when you raise, your CAC, activation, and attribution numbers hold up under investor scrutiny.
Far fewer than most dashboards show. We focus on the three or four that predict growth for your specific model, usually activation rate, CAC by channel, and a real attribution view tying spend to revenue. Vanity counts like raw traffic get cut so the signal stays clear.
A freelancer hands you a setup and leaves. We pair strategists with an in-house dev team, so the people who design your measurement also ship the changes as your model evolves, often the same day. You get a partner that grows with the company, not a one-time configuration.
Yes. Pivots are exactly when attribution breaks, because old events stop mapping to new behavior. We rebuild your event model and reporting around the current product so you can trust your numbers again without losing historical context where it matters.
It depends on the state of your tracking, but because strategy and engineering work together, we move in days rather than weeks. We prioritize the cleanup that unlocks decisions first, then layer in deeper attribution and reporting as the foundation solidifies.
Keep Exploring
Tell us where you want to be. We'll build the system to get you there.