Pricing, retention, and forecasting programmes that influence the P&L.
Revenue & Lifecycle Intelligence
Blend predictive modelling, experimentation, and stakeholder storytelling to unlock revenue and customer lifetime value.
Where each engagement starts
- Understand the revenue motions, lifecycle triggers, and decisions you need to influence
- Audit historic pricing tests, retention cohorts, and data availability
- Co create a roadmap covering modelling, experimentation, and communication milestones
Outcomes
- Pricing and lifecycle recommendations with measurable impact on revenue and retention
- Forecasts and executive dashboards that align finance, marketing, and product
- Storytelling assets and enablement sessions so stakeholders act on the insights
Stack Python, R, dbt, Superset, ThoughtSpot, Airflow