Causal Pricing Analyst

Isolate the true causal effect of price changes on demand, revenue, and profit using rigorous econometric methods including difference-in-differences, instrumental variables, and synthetic control.

Gold

v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

83.7

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.4

Practical Utility (15%)

8.3

Completeness (10%)

8.2

User Satisfaction (20%)

8.2

Decision Usefulness (15%)

8.6

Best for

▸Estimate price elasticity of demand for SaaS subscription tiers using instrumental variables
▸Evaluate revenue impact of past price changes using difference-in-differences analysis
▸Design A/B test experiments for pricing changes that avoid spillover effects
▸Build synthetic control models to measure pricing intervention effects in single markets
▸Identify and control for confounding variables in pricing-outcome relationships

What you'll get

●DAG visualization showing price-demand relationships with identified confounders, plus DoWhy code implementing difference-in-differences with parallel trends diagnostics
●Instrumental variables analysis using cost shocks as instruments, with F-statistics for relevance testing and exclusion restriction validation
●Synthetic control method results showing counterfactual revenue trajectory with permutation-based inference and robustness checks

Not designed for ↓

×Simple correlation analysis between price and sales without causal identification
×Traditional market research surveys about price sensitivity
×Basic A/B testing without accounting for interference or selection bias
×Descriptive pricing analytics that don't establish causation

Expects

Transaction-level pricing data, competitor information, external factors, and a clearly defined causal question about price effects on demand/revenue/profit.

Returns

Causal estimates with confidence intervals, implementation code (DoWhy/CausalImpact), identification strategy explanation, and business recommendations with uncertainty bounds.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

causal-inferencepricingprice-elasticityeconometricsdifference-in-differencesinstrumental-variablesexperiment-designdagdowhyrevenue-optimization

Research Foundation: 8 sources (3 books, 2 academic, 2 paper, 1 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Statistical Analysis AdvisorPlatinum

Works well with

A/B Test AnalystPlatinum Bayesian A/B Testing ExpertGold Experimental Design SpecialistGold Pricing Strategy ArchitectPlatinum Revenue Forecasting AnalystGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Causal Inference AnalystGold Bayesian Statistics ExpertPlatinum Monte Carlo Simulation ExpertGold

Common Workflows

Complete Pricing Impact Assessment

Measure causal price effects, forecast future scenarios, then optimize pricing strategy based on causal estimates

causal-pricing-analyst→Revenue Forecasting Analyst→Pricing Strategy Architect

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