Groundhog Lab builds the customer-data and lifecycle systems that convert more of your leads, trials, and users into paying customers — and hands your team a growth engine they can run without engineering.
Most growth-stage SaaS teams already have the leads, trials, and users they need. Revenue stalls before it converts — because the data to target well lives out of reach, and every fix waits in the engineering queue.
A progression, not a menu. Most teams start with the audit. Each stage makes the next cheaper and faster.
Across a decade of operating roles, one repeatable pattern: trustworthy behavioral data, reusable decision rules, targeted action, measurable conversion.
Results from roles held at each company. Full context shared on a call.
For over a decade I've built the data and growth systems behind SaaS conversion — from the first data hire at The Athletic through its acquisition by The New York Times, to transforming Sortly's data function and growth engine. Earlier, data science at Doximity, Lumosity, and Hotwire.
The pattern was always the same: the demand was there, but the data to act on it lived out of reach. Groundhog Lab is that fix, productized — so your team never waits on engineering to grow.
I lead every engagement personally, and bring in a trusted bench of specialists — data engineering, lifecycle, analytics — when a build calls for it. You get senior judgment, not a handoff.
On growth systems, behavioral data, and lifecycle — from conference stages to field notes growth and data leaders actually use.
Whitepapers, teardowns, and field guides on building growth systems. Ungated — read it, use it, share it.
Browse all resources →A Growth Systems Audit gives you a clear plan to convert more of your existing users — a map of your biggest gaps and a 90-day build plan, before you commit to a build.