Price sensitivity analysis

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What is price sensitivity analysis? 

Price sensitivity analysis is the process of measuring how changes in price affect a shopper’s likelihood to buy. It helps retailers understand how much demand will shift when a product’s price goes up or down, and by how much.

Why price sensitivity analysis matters

Product reactions to price changes vary; grocery staples may see little sales movement, while optional items spike. Without analysis, retailers guess when setting prices and promotions.

Price sensitivity analysis eliminates this guesswork. Retailers use it to:

  • Set promotions that drive incremental volume
  • Avoid unnecessary margin giveaways
  • Identify products vulnerable to competitor price changes
  • Build accurate demand forecasts linked to pricing
  • Improve promotional return on investment

How price sensitivity analysis works

Key price sensitivity factors:

  • Substitutes: more alternatives increase sensitivity
  • Frequency: regularly bought items have higher sensitivity
  • Brand loyalty: strong brand affinity reduces sensitivity
  • Category type: essentials are less sensitive than discretionary items
  • Visibility: frequent promotions train shoppers to wait for deals, increasing sensitivity

The calculation

Price Elasticity = % Change in Demand ÷ % Change in Price

A -1.5 result means a 1% price increase drops demand by 1.5%. Scores between 0 and -1 indicate low sensitivity (stable demand), while scores below -1 show high sensitivity (strong shopper reactions).

For promotions:

Expected Lift % = Price Elasticity × Discount %

This estimates expected promotional volume before running the discount.

Practical example

A retailer evaluates a 20% discount on a national brand (elasticity -0.8) and a private label alternative (elasticity -2.1), both priced at $5.00.

  • National brand expected lift: 16% volume increase
  • Private label expected lift: 42% volume increase


The private label is highly price-sensitive and interchangeable, so a price drop drives substantial demand. Conversely, the national brand has a loyal base that buys it regardless, making a promotion mostly a margin giveaway.

Consequently, the retailer applies the deeper promotion to the private label to capture incremental volume while keeping a shallower discount on the national brand to protect profit margins.

Related terms

Price elasticity

Price elasticity of demand (PED) quantifies how the quantity demanded of a product changes in response to price variations.

Promotional incrementality measures the sales lift solely caused by an offer. It isolates volume that would not have occurred without the discount from sales that would have happened at full price.

A pricing strategy that temporarily reduces prices to increase demand, drive traffic, or achieve specific business goals. Promotion optimization helps retailers determine the most effective discount depth and promotional pricing strategy.

Retail cannibalization is when a customer trades between similar products. This can be driven by many factors like the introduction of a new product, promotional incentivization, better product placement, etc.

Promotion optimization is the process of designing and refining retail promotions to maximize their financial return. Instead of running discounts based on habit or calendar defaults, promotion optimization uses data to determine which products to promote, at what price, and for how long.

Everyday Low Price (EDLP) is a pricing strategy where retailers set consistently low prices on products over time, rather than cycling through regular prices and promotional discounts.

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Promotion optimization

Basket affinity 

Promotional incrementality

High-Low Pricing Strategy

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