Your analytics tool collects data. We make it run experiments and predict outcomes.

$4,997–$7,997 · 3 weeks · experiment-ready guarantee

Built for B2B SaaS companies with PostHog, Amplitude, or Mixpanel

THE PROCESS

3 weeks. From raw data to running experiments.

Audit + Experiment Design

We audit your current analytics stack and experiment infrastructure. Then we design 3+ experiments — each with a hypothesis, success metric, and sample size calculation. You know exactly what you're testing and how long each experiment needs to run.

Build + Train Models

We implement the experimentation layer on your platform — PostHog, Amplitude, or Mixpanel. Then we train ML models for churn scoring and expansion signals using your actual data. Your team sees which accounts need attention before the signals are obvious.

Run + Handover

First experiments go live. Models validated against real outcomes. Full handover with documentation, a recorded training session, and a custom Python analytics dashboard your team can run without us.

What you walk away with.

Experiment Infrastructure Setup

Your analytics platform configured for proper experimentation — feature flags, variant assignment, and event tracking wired together.

3+ Pre-Designed Experiments

Each experiment has a hypothesis, primary metric, sample size calculation, and expected runtime. Your team can run them without guessing.

ML Churn + Expansion Scoring Model

Trained on your data. Your CS team gets a weekly list of at-risk accounts and expansion-ready accounts — ranked by confidence score.

Custom Python Analytics Dashboard

A self-serve dashboard your team runs locally. No dependencies on us. Experiment results, model outputs, and key metrics in one place.

Documentation + Recorded Training

Everything documented. A recorded walkthrough your team can rewatch. You own the entire system.

Is this you?

You're running PostHog, Amplitude, or Mixpanel — but you've never run a real experiment. The data is there. Nobody is using it to test anything.

You have data science ambitions but no team to execute. You want ML-powered churn and expansion signals without a 6-month hiring process.

You want experiments and predictive models running — without hiring a full data engineer. The infrastructure should be self-serve after handover.

Not a fit if:

You don't have analytics set up yet (start with the Analytics Audit), or you have under 10K monthly active users — not enough data for meaningful experiments or ML models.

Experiment-ready guarantee.

If we can't identify at least 3 statistically valid experiment opportunities worth running, full refund.

Book the engagement — $4,997 →

Questions.

Or book a call →

What analytics tools do you support? +

PostHog, Amplitude, Mixpanel, GA4, and custom stacks. If you're running something else, we'll assess compatibility on the first call.

What's the minimum traffic for experiments? +

It depends on the effect size you're trying to detect. That's exactly what we calculate for you — sample sizes, runtimes, and minimum detectable effects for each experiment. No guessing.

Do we need a data scientist after handover? +

No. The models and dashboards are built to be self-serve. Your product or growth team can read the outputs, run experiments, and act on model scores without writing code.

What kind of ML models do you build? +

Churn scoring, expansion propensity, and feature adoption prediction — trained on your data. Each model outputs a ranked list your team can act on weekly.