ELASTICITY COEFFICIENT

Definition

The price elasticity coefficient measures the sensitivity of demand for a product to a change in its price. It is expressed as a number—usually negative—that indicates the percentage change in sales resulting from a 1% change in price. A coefficient of -2.5 means that a 1% increase in price results in a 2.5% decrease in sales. It is one of the most widely used indicators in pricing analytics because it directly guides pricing adjustment decisions and margin-versus-volume trade-offs.

Why it's important

• Distinguish between price-sensitive products (high elasticity; handle with care) and less price-sensitive products (low elasticity; prices rise easily).
• Tailoring promotions: A discount on a product with low price elasticity does not generate the expected volume and erodes the margin.
• Modeling the impact of a decision: before implementation, which helps ensure sound decision-making and provides visibility to management.

A concrete example

A clothing retailer measures the elasticity coefficient of three T-shirts. Model A has a coefficient of -3.2 (very elastic), Model B has a coefficient of -1.8 (moderately elastic), and Model C has a coefficient of -0.4 (not very elastic, as it is an iconic style). A 5% price increase on Model A would cause sales to drop by 16%. The same price increase on Model C would cause sales to drop by only 2%, resulting in a positive net margin gain. This analysis points toward a targeted price increase for Model C only.

How to measure/use it

The elasticity coefficient is calculated based on sales history: we examine past price changes and the associated volume changes, while controlling for other factors (seasonality, promotions, stockouts, and competitor activity). Traditional statistical models (log-log regression) are sufficient for high-volume SKUs. For low-volume SKUs or new product launches, AI models (gradient boosting, neural networks) yield better results.

Common Mistakes

• Confusing the short term with the long term: A price increase may seem to have no effect over a 4-week period but can then cause sales volume to plummet over 6 months when customers find a substitute.
• Calculating based on a data set that is too short: a period of less than 12 months does not account for seasonality and results in an unstable coefficient.
• Ignoring cross-price effects: A product's elasticity also depends on the prices of substitute products (cross-price elasticity).

Learn more

• Research & Data: Price Analysis to Calculate the Price Elasticity Coefficients for Your Product Line.
• Solutions: Pricing Analytics to automate the calculation and updating of coefficients.
• Tip: Develop a pricing strategy that incorporates elasticity coefficients by category.
• Resources: See our pricing FAQ to learn the difference between direct elasticity and cross-elasticity.

Mini FAQ

What is a normal range of elasticity?

In the food retail sector, most SKUs fall between -0.5 and -3. In the apparel sector, the ranges vary from -0.3 (basics) to -5 or lower (short-lived trends). In the technical B2B sector, elasticity is often lower (-0.2 to -1).

Does elasticity remain stable over time?

No. It changes in response to economic conditions (inflation increases price sensitivity), the emergence of new competitors, and seasonal factors. A quarterly recalculation is a good frequency to ensure it remains relevant.

Can elasticity be positive?

Very rarely, and only for luxury goods or so-called “Veblen goods,” where the high price serves as a signal of quality. In everyday retail, price elasticity is always considered to be negative.