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Price Elasticity and Pricing Analytics

Estimating how demand responds to price changes, and using analytics to inform pricing decisions.

Editorial team 1 min read

Price elasticity measures how much demand changes when price changes.

The Basics

If a 10% price increase reduces quantity sold by 20%, elasticity is −2: demand is elastic. If quantity falls only 5%, demand is inelastic.

Estimating Elasticity

  • Historical data: regression of sales on price, controlling for seasonality, promotions and competitors. Beware confounding — prices often change for reasons that also affect demand.
  • Experiments: randomised price tests give cleaner estimates, where legal and acceptable.
  • Surveys: conjoint analysis and willingness-to-pay studies.

Pricing Analytics Uses

  • Setting list prices.
  • Planning promotions and discounts.
  • Markdown optimisation for seasonal stock.
  • Segment and channel pricing.

Beyond Elasticity

Consider margins, competitor responses, brand perception and long-term customer value.

Ethics and Law

Personalised or dynamic pricing can breach consumer protection or discrimination laws and erode trust. Review with legal teams.

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