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Service 04

Experimentation and Measurement

A/B testing platform and governance, experiment analysis, marketing and product measurement.

The problem

Decisions made on noise.

Experiments are hard to set up, harder to read, and results are argued over rather than acted on. Marketing and product claim the same wins, and nobody is sure what actually moved the number. Good measurement needs a platform, shared standards and people who can explain the results plainly.

What we build

Measurement you can act on.

Experimentation platform

Assignment, exposure logging and analysis that make running a test routine.

Governance and standards

Pre-registration, guardrail metrics and review so results hold up to scrutiny.

Experiment readouts

Clear, consistent write-ups that state what changed, by how much and how sure we are.

Causal measurement

Methods for the questions a randomized test cannot answer.

Marketing measurement

Attribution and incrementality approaches matched to your channels and data.

Metric design

Primary, secondary and guardrail metrics that reflect what the business values.

How we engage

Experimentation audit

A fixed-scope review of your testing practice, tooling and decision process.

Embedded pod

1–4 engineers and analysts in your team to build the platform and standards.

Example deliverables

  • An experimentation platform integrated with your product
  • Testing standards and a review process
  • Readout templates and automated analysis
  • A measurement plan for marketing channels
  • Training for product and marketing teams

Typical stack

  • Your warehouse
  • Experimentation tooling
  • Event tracking
  • Statistical analysis
  • BI tools
  • Python
  • SQL

We work with the tools you already run.

Book a call

Tell us what you are trying to ship.

A 30 minute call with us. We will tell you plainly whether we can help.