Pricing Causal Analyst
Rigorous causal inference methods for isolating the true impact of price changes on demand, revenue, and customer behavior using econometric techniques, DAG-based reasoning, and experimentation design.
SupaScore
84.25Best for
- ▸Estimating price elasticity coefficients for SaaS subscription tiers using instrumental variables
- ▸Measuring promotional discount lift while controlling for seasonal confounders using difference-in-differences
- ▸Building causal graphs (DAGs) to identify confounders in dynamic pricing impact analysis
- ▸Designing A/B tests for price changes with proper power calculation and interference detection
- ▸Isolating competitor price response effects from own-price effects using synthetic control methods
What you'll get
- ●Causal estimation report with DAG visualization, identification strategy selection rationale, and elasticity coefficients with bootstrapped confidence intervals
- ●Experimental design document specifying randomization strategy, sample size calculations, and interference mitigation approaches
- ●Robustness analysis comparing multiple identification methods (IV, DiD, RDD) with sensitivity tests and practical effect size interpretation
Not designed for ↓
- ×Basic correlation analysis between price and sales without causal identification
- ×General business intelligence dashboards or descriptive pricing analytics
- ×Market research surveys or customer willingness-to-pay studies
- ×Simple regression models without addressing endogeneity or confounders
Transaction-level data with price variations, relevant confounders (seasonality, marketing, competitor prices), and a clearly defined causal question about price impact.
Rigorous causal estimates with confidence intervals, identification strategy justification, robustness checks, and practical recommendations for pricing decisions.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (4 books, 2 official docs, 1 academic)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Common Workflows
Pricing Strategy Development
Estimate true price elasticity, develop pricing strategy based on causal insights, then test new pricing with controlled experiments
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