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AlpineDataWorks.AI
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Retail/Marketing · metric Gold

Promo-Elasticity Gap

Identify underperforming promotional investments to reallocate trade spend toward high-elasticity categories for maximum revenue lift.

Refresh
daily
History
single vintage
Plan
Gold
Stable

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⌁ mcp.call("adw-016") v1.0
Forward outlook

Prediction

Horizon
Recommended use
Identify underperforming promotional investments to reallocate trade spend toward high-elasticity categories for maximum revenue lift.
Methodology

How it's built

Calculate price elasticity of demand using historical sales volume and discount depth data, then compute the gap between actual promo ROI and the theoretical maximum ROI to generate a prioritization s

Internal POS transaction logspromotional calendar dataand competitor pricing feeds from public web scraping or free market reports.

Version 1.0 · validated to beat a naive baseline · benchmark: NielsenIQ-adjacent