Price Elasticity
Definition
Price elasticity of demand measures the percentage change in quantity demanded (or, in SaaS, in customer retention and new logo acquisition) resulting from a percentage change in price. A product with elasticity of -0.3 loses 3% of volume for every 10% price increase — meaning the price increase is overwhelmingly profitable. A product with elasticity of -2.0 loses 20% of volume for every 10% price increase — meaning the price increase destroys more value than it captures.
In practice, PE operating partners rarely calculate elasticity with academic precision. What they need is a directional understanding: if we raise prices 10%, what happens to retention? What happens to new logo conversion? What happens to expansion revenue? The answers to these questions determine whether pricing is a viable EBITDA lever.
Why It Matters
Every pricing strategy ultimately rests on an elasticity assumption, whether that assumption is explicit or not. When an operating partner builds a value creation plan that assumes 5% annual price increases, they are implicitly assuming that elasticity is low enough to make those increases net-positive. If that assumption is wrong — if the product is more elastic than expected — the value creation plan fails.
The reason most portfolio companies do not test elasticity is fear. Leadership is afraid that raising prices will trigger churn, so they never raise prices, so they never generate the data needed to understand elasticity, so they remain afraid. This cycle is one of the most expensive forms of strategic paralysis in the PE portfolio.
Breaking the cycle requires structured experimentation: controlled price tests on renewal cohorts, A/B testing on new logo pricing pages, willingness-to-pay research with current customers. The investment is modest (typically $25-50K for a proper pricing study); the return is permanent clarity on the single most important variable in the pricing model.
What to Look For
Historical price change data. Has the company ever raised prices? What happened to retention and new logo conversion in the 6 months following the increase? This is the most direct empirical evidence of elasticity.
Customer research. Has anyone surveyed customers on willingness to pay? Van Westendorp, Gabor-Granger, and conjoint analysis are the standard methodologies. If no research exists, elasticity assumptions are guesswork.
Competitive intensity. Elasticity increases with competitive intensity. If customers have ten direct alternatives, price sensitivity will be higher than if they have two. Assess the competitive landscape before assuming low elasticity.
Product stickiness. Products with high switching costs, deep integrations, and strong user habits tend to have lower elasticity. A CRM that takes 6 months to implement has different elasticity than a SaaS tool that can be replaced in a week.
Red Flags
- Company has never raised prices and cannot explain why
- Leadership claims elasticity is "too risky to test" without supporting data
- No customer willingness-to-pay research has ever been conducted
- Competitor price changes trigger immediate matching without analysis
- Single data point used to generalize elasticity across all segments and products