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What is Price Elasticity?
  1. Glossary/

What is Price Elasticity?

6 mins·
Ben Schmidt
Author
I am going to help you build the impossible.

Price elasticity is a fundamental concept in economics that measures how the quantity demanded of a product changes when its price changes. For a startup founder, this is not just an academic exercise. It is a measurement of how sensitive your customers are to the cost of your product. If you raise your price by ten percent and half of your customers leave, your product is highly elastic. If you raise your price by ten percent and no one leaves, your product is inelastic.

Understanding this concept helps you navigate the complex decisions around revenue and growth. Most founders worry about pricing too high and losing their early adopters. Others worry about pricing too low and leaving money on the table. Price elasticity provides a framework to look at these fears through the lens of data and observation.

The Mechanics of Price Elasticity

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The calculation of price elasticity of demand is usually expressed as a ratio. You take the percentage change in quantity demanded and divide it by the percentage change in price. If the resulting number is greater than one, the product is considered elastic. If the number is less than one, it is inelastic.

In a startup environment, you are often dealing with small sample sizes. This makes the math difficult but the logic remains the same. You are trying to find the point where price changes lead to the most favorable outcome for your cash flow and market share.

There are several factors that dictate where your product sits on this spectrum:

  • Availability of substitutes: If there are five other companies doing exactly what you do, your elasticity is likely high.
  • Necessity versus luxury: Products that customers cannot live without tend to be more inelastic.
  • Percentage of budget: A two dollar increase on a software subscription is less noticeable than a two dollar increase on a gallon of milk.
  • Time: Customers might stay with you in the short term after a price hike but look for alternatives over the long term.

Startups often aim to create products that are inelastic. This usually happens through innovation or brand building. When a product is unique enough that it has no direct substitutes, the founder gains more control over the pricing.

Elasticity Versus Inelasticity

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It is helpful to look at the extremes to understand the middle ground. A perfectly inelastic product would mean that no matter how high the price goes, the demand stays the same. While this rarely exists in the real world, life saving medications often come close. People will pay almost any price to stay healthy.

On the other hand, a perfectly elastic product means that any increase in price will drop demand to zero. This happens in highly competitive commodity markets. If you are selling generic bottled water and you are more expensive than the vendor next to you, people will simply walk three feet to the left.

Most startups fall somewhere in between these two points. Your goal as a builder is to understand which way your specific product leans. If you have built a tool that saves a company fifty hours of work a week, you have likely created an inelastic demand. The cost of the software is small compared to the cost of the labor you are replacing.

Comparing Price Elasticity and Cross Price Elasticity

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While price elasticity looks at your own product, cross price elasticity looks at how the price of one product affects the demand for another. This is a critical distinction for founders who operate in a crowded ecosystem. If your competitor lowers their price, does your demand go down? If so, your products are substitutes.

If your competitor raises the price of a complementary product and your demand goes down, those products are complements. For example, if the price of servers goes up significantly, the demand for server management software might decrease.

Understanding the relationship between your pricing and the broader market helps you anticipate shifts that are outside of your direct control. You are not building in a vacuum. Every price move by a competitor or a partner ripples through your own demand curve. Monitoring these shifts allows you to adjust your strategy before the impact hits your bank account.

Practical Scenarios for the Founder

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Consider a SaaS startup that provides specialized accounting software for architects. Because the software is highly specialized, there are few substitutes. If the founder decides to increase the monthly fee from fifty dollars to sixty dollars, they might see a very small drop in users. The utility of the tool outweighs the ten dollar increase. This is an example of pricing power derived from low elasticity.

Now consider a physical goods startup selling organic cotton t shirts. If they raise their price by five dollars, they may see a massive drop in sales. There are many other places to buy organic cotton shirts. In this scenario, the founder must find ways to reduce elasticity. They might do this by building a stronger brand or by offering a unique design that cannot be found elsewhere.

Another scenario involves the early stages of a startup. Many founders start with a low price to gain market share. This is a strategy to test the market, but it can be dangerous. If you attract customers who are only there because of the low price, you are building a base of highly elastic users. When you eventually need to raise prices to become profitable, those users will vanish.

The Variables We Still Cannot Predict

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Despite the formulas, there are many things we do not know about how price elasticity works in modern digital markets. For example, how does the psychological impact of a subscription model change traditional elasticity? We know that recurring billing reduces the friction of a purchase, but we do not fully understand how it affects the long term sensitivity to price increases.

There is also the question of data privacy and its value. If a product is free but mines user data, how do we measure elasticity? If a company starts charging a fee but stops mining data, will users stay? These are the types of questions that current economic models are still trying to solve.

We also do not know how much the abundance of information online has changed elasticity. In the past, a consumer might not know that a cheaper version of a product existed. Today, that information is a click away. This suggests that the baseline elasticity for all products may be increasing over time.

Founders should think about these unknowns as they build. You are operating in a laboratory. Every pricing change is an experiment. By observing the results with a journalistic eye, you can begin to map out the unique elasticity of your own market. You do not need to have all the answers immediately. You only need to be willing to look at the data and ask why your customers behave the way they do.