Price elasticity of demand
Price elasticity of demand measures how much unit sales change in response to a price change, showing whether demand for a product is price-sensitive or stable.
Also known as: elasticity of demand, demand elasticity
Price elasticity of demand measures the percentage change in quantity sold that results from a percentage change in price. A product is elastic if demand shifts a lot when price moves, and inelastic if demand barely changes, and knowing which one applies to a SKU is one of the most useful inputs a pricing team can have.
How price elasticity of demand works
Elasticity is calculated as the percentage change in quantity demanded divided by the percentage change in price. A value greater than 1 in absolute terms means demand is elastic, so raising price loses more revenue in volume than it gains in margin, and cutting price gains more volume than it loses in margin. A value less than 1 means demand is inelastic, so price changes have a muted effect on volume and margin moves largely follow the price change directly.
Elasticity is not fixed. It varies by category, by how easily customers can find substitutes, by season, and even by how visible the price is within a store or search results, so retailers need to estimate it at the SKU or category level using their own sales history rather than applying a single industry rule of thumb.
Retailers estimate elasticity in a few common ways: analyzing historical periods where a price actually changed and measuring the resulting change in units sold, running controlled price tests across similar stores or online segments, or using statistical models that control for other factors like seasonality and promotions running at the same time. The more SKUs and price history a retailer has, the more reliable these estimates become, which is why elasticity work usually starts with the highest-volume items first.
Example
A home electronics retailer tests a 10 percent price cut on a mid-range headphone SKU and sees unit sales rise 28 percent over the following month, giving an elasticity of about 2.8, a clearly elastic product where cutting price is likely to grow total margin dollars despite the lower unit margin. The same retailer tests a 10 percent price cut on a common phone charging cable and sees unit sales rise only 4 percent, an elasticity of 0.4, showing that customers buy the cable regardless of small price moves and a price cut mostly just gives away margin.
Why it matters for retailers
Elasticity tells a pricing team where price changes will actually move the needle on revenue and margin, and where they will not. Without it, teams either leave money on the table by underpricing inelastic products or damage volume by overpricing elastic ones, and promotional calendars end up built on guesswork instead of measured customer response. Elasticity estimates also age: a product's sensitivity to price can shift as new competitors enter, as the product moves through its life cycle, or as customer habits change, so estimates need to be refreshed rather than treated as permanent.
How Retailgrid helps
Retailgrid estimates elasticity at the SKU and category level from actual sales history, feeding directly into the price optimization software so recommended prices reflect real demand response rather than flat cost-plus rules. This same elasticity data powers dynamic pricing and the broader agentic pricing workflows, so price moves are grounded in how customers actually behave.