ds@mcpanalytics.aiA data scientist you can email your data and question to, and get a reliable response. Not AI slop.A data scientist you can email. Not AI slop.
Upload your data and get a complete price elasticity of demand report. Free.
Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size, so sign up to analyze your full dataset.
Running price elasticity of demand analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileThe practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Standard-library analysis: how sensitive is demand to price? A log-log OLS regression of quantity on price estimates the price elasticity of demand from your transactional or aggregated sales rows, with a 95% confidence interval, an elastic/inelastic classification, the revenue direction the data is consistent with, and a 10-point demand curve. Optionally hold other factors constant (promo flag, season, region).
Interactive scatter visualization
Interactive table visualization
Interactive table visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
Decide whether a planned price increase is likely to raise or lower total revenue
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data: R analyses, interactive reports, AI insights, and PDF export.
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CympleData Scientist Send me your data and question, I’ll send you the analytics. ds@mcpanalytics.ai
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