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Causal Impact Analyzer R Shiny

Measure True Causal Effects

Beyond Correlation to Causation

Measure causal impact of price changes. Use synthetic control and diff-in-diff methods to isolate the true effect of your interventions.

Causal Effect True impact estimate
Counterfactual What would have been
Significance Statistical confidence
Pre/Post Analysis Time series view
0 Sales High Intervention Causal Effect Actual Counterfactual

โšก How It Works

๐Ÿ“Š

Input

Pre/post data

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๐Ÿ”ฌ

Model

Synthetic control

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๐Ÿ“ˆ

Measure

Causal effect

Correlations mislead; causation informs*

Make decisions based on true impact

๐Ÿ“ฆ What You Get

โœ“ R Shiny App โœ“ User Manual โœ“ Sample Datasets โœ“ Statistical Reports

๐Ÿข Who Uses This

Retail E-commerce CPG

Ready to Measure True Impact?

Dr. Koray Cosguner

Founder & Principal Consultant
Associate Professor of Marketing

miaow.consulting@gmail.com

Kelley School of Business
#1 Online MBA ยท #4 UG Marketing (U.S. News)
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