On this page
Do your promotions help boost sales across the entire department?
Schedule a meetingDiscover AI-Powered Sales ForecastingCross-price elasticity measures the sensitivity of the demand for product A to a change in the price of product B. If it is positive, the products are substitutes (two brands of soda); if it is negative, they are complements (a printer and a ink cartridge); if it is close to zero, they are independent. It helps avoid pricing decisions that cancel each other out at the category level.
The Essentials in 6 Questions
The effect of one product's price on the sales of another.
Pricing, promotion, and category managers.
Before any promotion or price reduction in a category.
Between substitutes and between complementary items within the same product line.
Think in terms of categories, not on a product-by-product basis.
Percentage change in sales of A ÷ percentage change in the price of B.
Because a promotion that boosts sales of one product can take sales away from neighboring products and lower the department's profit margin.
A promoted beer sees a 35% increase in sales, but the department's revenue grows by only 3%, while its margin decreases by 8%.

The price drops from €1.99 to €1.69 (-15%). Sales of two competing brands in the aisle fall by 12% and 18%: cross-elasticity is positive, and the products are substitutes. At the category level, the promotion erodes the total margin.
By observing the effect of price changes for a product on the sales of its competitors, and then simulating this effect at the category level.
| Value | Relationship | Example |
|---|---|---|
| Positive | Substitutes: When the price of one goes up, sales of the other go up. | Two beer brands. |
| Negative | Additional information: As the price of one rises, sales of the other fall. | Pasta and sauce. |
| Close to 0 | Standalone products. | Laundry detergent and chocolate. |
The calculation takes into account historical sales data, price changes, promotions, and seasonality. Our AI-powered sales forecast estimates these relationships between products; our promotion management system incorporates them to simulate the net effect of a promotion on the entire department. See alsothe halo effect.
Think on a product-by-product basis; don't overlook private-label brands or neglect supplements.
Short answers to the most frequently asked questions about cross-elasticity.
Cross-price elasticity measures the sensitivity of the demand for product A to a change in the price of product B. It reflects the economic relationships between products: substitutes, complements, or independent products. It is an essential concept for managing a product assortment in a consistent manner.
If the value is positive, the products are substitutes: when the price of one rises, demand for the other increases. If the value is negative, they are complements. If the value is close to zero, they have little interaction.
It anticipates the indirect effects of a price change on other products in order to optimize profitability across the entire category rather than for a single product.
To adjust prices, create promotions, limit cannibalization, design bundles, and maintain consistent product lines.
Key Takeaways
Would you like to predict the effect of a price change on similar products?
Booper measures the cross-elasticity between your products to avoid unpleasant surprises.
Let's talk about your category promotions →Discover AI-Powered Sales Forecasting
Key takeaway: Price elasticity measures customers' sensitivity to price changes in order to optimize profitability. Identifying inelastic products allows you to adjust margins without sacrificing volume, while protecting key items helps maintain your price image.
A score greater than 1 indicates highly responsive demand, where any price increase risks collapsing sales.
Key takeaway: AI-powered pricing overcomes Excel’s limitations by incorporating complex variables such as inventory and competition to model price elasticity accurately.
This robust management approach safeguards margins and volumes while remaining transparent to managers. Key point: An elasticity exceeding 3.5 often indicates a data anomaly rather than actual customer behavior.

A price change results in both cannibalization (of substitute products) and the halo effect (on complementary products). Ignoring this mechanism is equivalent to measuring only half of the actual impact of a pricing decision.
On average, 22% of the increase in sales of a product on promotion comes from a simple shift from other SKUs in the same product line.