Built by PMs who got tired of waiting
Prodlytix started in 2022 when Marcus Webb and his co-founders spent 3 weeks waiting for a data team analysis that took an afternoon to act on. There had to be a better way.
Every growth PM deserves answers about retention — without writing a Jira ticket to get them
Before Prodlytix, Marcus Webb was Head of Product Analytics at a growth-stage enterprise software company in Salt Lake City. His job was to understand user behavior. The reality: he spent most of his time in Jira, not in data. Every cohort analysis request meant a 2–3 sprint cycle: write the spec, hand it to the data team, wait 3 weeks, discover the question had shifted, start over.
In late 2021, he started writing his own SQL queries — not because he wanted to, but because no tool gave him what he actually needed: the specific sequence of user actions that predicted whether a trial user would still be active in 90 days. He got good at it. But he also knew that no PM should have to become a data engineer to understand their own product.
In early 2022, he left to found Prodlytix with Priya Nakashima and Devon Okafor. The goal was direct: build the tool that finds the behavioral DNA of retained users automatically — no SQL required, no sprint required, no waiting for next quarter's analysis.
How we work
PM-first, always
Every feature decision starts with: does this make a PM's job easier without needing a data team? If the answer requires SQL, it's back to the drawing board.
Privacy by design
Behavioral analytics carries real responsibility. We built Prodlytix with data minimization from day one — only capturing what you explicitly track, no shadow profiling.
Developer grade
We built Prodlytix to be something engineers actually want to integrate. Good SDKs, a real API, and security controls that let you say yes to the infosec review.
Correlation is not causation — and we say so
Prodlytix identifies behavioral correlations between event sequences and retention outcomes. It does not establish causal relationships. We deliberately surface this in the product: auto-discovery results are labeled "correlated with 30-day retention," not "causes retention." Establishing causation requires controlled experiments. We're not that tool — but we tell you exactly what experiment to run next.
Marcus Webb
Marcus spent seven years in product at B2B SaaS companies — the last three as Head of Product Analytics at a growth-stage enterprise software company in Salt Lake City. He watched PMs wait 2–3 sprints for behavioral analysis that answered yesterday's question. In early 2022, he founded Prodlytix to change that. He's still based in Salt Lake City.
Meet the Full TeamThe team behind Prodlytix
Priya Nakashima
Engineering lead with experience in data infrastructure at scale. Designed the Prodlytix ingestion pipeline and query engine from the ground up.
Devon Okafor
Former growth PM at two SaaS companies. Obsessed with reducing the time between "I wonder why" and "here's what the data says."
Sylvia Carrasco
Brings 6 years of growth marketing at developer tools companies. Focuses on turning early adopters into evangelists and building the customer community.
Building for PMs who deserve better tools
We're a small, angel-backed team based in Salt Lake City. Come work with us — or start using Prodlytix today.