Test a discount before you print the banner.
Promo Impact simulates a promotion on your own price response. Pick a category, a depth and a window, and see the extra units, the stock you need to support it, and what happens to margin.
Price response from your data
Elasticity is learned from your past promotions per category, not borrowed from an industry average.
Cannibalisation
Shows how much of the lift is stolen from full-price items in the same category.
Promo ImpactKitchenwareDiwali fortnight20% off on kitchenware for Diwali?
Margin change against no promotion
- Expected units
- 7,845 vs 4,200 without promo
- Extra units
- +3,645 656 taken from full-price items
- Stock to buy
- 5,376 3,100 on hand, 8% buffer
- Margin effect
- -6.6% $18,828 gross margin
Stock to support it
Calculates the units needed per store so the promotion does not end in empty shelves on day three.
Margin, honestly
Extra revenue is set against discount cost, so you see whether the promotion earns or just moves units.
What goes in, what comes out
Data you already have. Answers your team can act on.
Reads
- Past promotions with depth, dates and results
- Category price and cost
- Current stock and open orders
- Festival calendar from Seasonality Lens
Produces
- Expected units with and without the promotion
- Stock required per location
- Margin effect after discount and cannibalisation
- Post-promotion dip estimate
In practice
How a planner uses Promo Impact.
- 01
Describe the promo
Category or items, discount depth, start and end dates, and which stores take part.
- 02
Read the result
Units, stock needed and margin appear side by side for several depths, so you can pick the sweet spot.
- 03
Lock it in
Save the promo and its lift flows into forecasts and the reorder plan automatically.
Dawn over the observatory
Forecast your first 100 items free.
Observation request ยท no. 001
- Items in view
- 100 SKUs
- Locations
- 1 store or warehouse
- Horizon
- 8 weeks ahead
- Card required
- None