Analytics & Applied ML

Models that answer the questions your board actually asks.

Attribution, experimentation, and bespoke predictive models — segmentation, churn, propensity, forecasting — built to inform decisions, not decorate dashboards.

What we deliver

From raw signal to a decision you can defend.

A dedicated senior team — not fractional, no junior hand-offs — builds the models your operators and your board will actually act on, then keeps them honest in production.

  • Marketing and revenue attribution modeling
  • Experimentation framework and causal analysis
  • Churn, propensity, and segmentation models
  • Forecasting and scenario modeling
  • Uplift and LTV modeling
  • Model monitoring and retraining
  • Decision-ready briefs, not just notebooks

How we're different

Models that ship with a decision attached.

We instrument first, ship in increments, and prove what moved. Every model is accountable to a number you can show the board.

Decisions, not dashboards

Every model ships with the decision it informs and the action it triggers.

Defensible methods

Causal where it matters, honest about uncertainty — numbers your board can challenge and trust.

Operationalized

Models are deployed and monitored, not left to rot in a one-off notebook.

Selected outcome

Proof, not promises.

−22%
CAC via reallocation

A propensity and LTV model reallocated spend toward high-value segments, cutting blended CAC while holding volume.

// Anonymized engagement data; see more on the Work page.

Start here

Ready to put Analytics & Applied ML to work?

Tell us the call you're trying to make — budget, retention, or forecast — and we'll come back with a sharp opinion, a written path, and an honest read on what a model can and can't prove. We reply within 2 business days.

Request a strategy call