Causa

Causa is a consultancy that helps commercial leaders understand cause-and-effect relationships in their business through rigorous causal modelling and Bayesian statistics. The company builds custom causal models to quantify the impact of strategic decisions before they are made, moving beyond correlation to identify what truly drives outcomes.

Key Features

• Causal Inference: Uses DAGs and modern causal methods to identify drivers of outcomes
• Bayesian Modelling: Provides principled uncertainty quantification with full posterior distributions
• Decision Science: End-to-end support from problem framing to model deployment
• Kairos Engine: Proprietary causal reasoning framework for building, validating, and deploying causal models

Use Cases

• Pricing strategy for B2B SaaS (e.g., understanding willingness-to-pay, +15% ARPU)
• Discounting strategy for online retail (e.g., isolating incremental promotion impact, +20% revenue)
• Dynamic provisioning for cloud platforms (e.g., optimising infrastructure costs, -18% costs)

Who It’s For

Commercial leaders and data teams in businesses that need to quantify the impact of strategic decisions.

Engagement Models

• Fixed-scope projects (4+ weeks)
• Workshops & training (1-3 day sessions)
• Embedded partnerships (3-12 months)