Optimizing production is only half the equation. We must also optimize price by precisely quantifying how customers react to change. The concept of Elasticity of Demand moves us beyond anecdotal feedback to a data-driven metric of price sensitivity, enabling pricing strategies that maximize total revenue.

Quantifying Customer Price Sensitivity

We define Elasticity of Demand (η) as the percentage change in demand generated by a one-percent increase in price. This metric allows us to classify customer price sensitivity into three distinct categories:

• Elastic Demand (|η| > 1): A small change in price causes a large change in demand. In this scenario, customers are highly price-sensitive.
• Inelastic Demand (|η| < 1): A change in price causes a relatively small change in demand. This indicates that customers are not very price-sensitive.
• Unit Elasticity (|η| = 1): The percentage change in demand is equal to the percentage change in price. This represents the balancing point between the elastic and inelastic states.

The Direct Impact of Elasticity on Revenue

The level of demand elasticity has a direct and predictable impact on total revenue, providing clear rules for pricing adjustments:

• If demand is inelastic, a price increase will increase total revenue. The loss in sales volume is more than offset by the higher price per unit.
• If demand is elastic, a price increase will decrease total revenue. The higher price per unit is not enough to compensate for the large drop in sales volume.

This relationship leads to a powerful conclusion for pricing strategy: Total Revenue is maximized at the price point where demand is of unit elasticity. This is the optimal price that balances price per unit and sales volume to generate the highest possible total revenue.

These distinct analytical tools, when unified, form a comprehensive framework for strategic profit maximization.