Price discrimination is the practice of charging different prices to different customers for the same (or substantially similar) product or service, where the price difference isn't justified by a difference in cost. The seller segments the market, identifies different groups' willingness to pay, and captures more total revenue than a single-price strategy would allow.
If that sounds like something companies do all the time, you're right. It is. You encounter price discrimination every single day, often without realizing it. Student discounts at the movies. Senior pricing at restaurants. Airline tickets that cost $200 on Tuesday and $800 on Friday for the exact same seat. Software that costs $10/month for individuals and $50/month for enterprises. All of these are price discrimination.
I want to be clear about something upfront: price discrimination isn't inherently bad, and it isn't always illegal. In fact, most forms of price discrimination are perfectly legal and arguably beneficial. It becomes problematic when it's based on protected characteristics (race, gender, etc.) or when it's wielded by monopolists to extract value from consumers who have no alternatives. But the basic practice of charging different prices to different segments? That's just smart marketing strategy.
Economists classify price discrimination into three "degrees," a framework that dates back to Arthur Cecil Pigou's work in the early 20th century. Understanding these degrees is essential for any marketer working on pricing.
First-degree price discrimination means charging each individual customer the maximum price they're willing to pay. It's called "perfect" because the seller captures 100% of the consumer surplus, every dollar that a consumer would have been willing to spend above the market price goes to the seller instead.
In practice, pure first-degree price discrimination is almost impossible because it requires knowing each customer's exact willingness to pay. But some markets come close. Car dealerships, where every buyer negotiates a different price, approximate first-degree discrimination. So do B2B enterprise software sales, where pricing is "contact us" and every deal is customized. Auctions are another example: each bidder reveals their maximum willingness to pay.
What's changed dramatically in the last five years is that AI and data analytics are making first-degree discrimination more achievable than ever. The FTC's 2024 investigation into "surveillance pricing" examined how companies use personal data (browsing history, purchase history, location, device type, even battery level) to estimate individual willingness to pay and set personalized prices. This is first-degree price discrimination powered by algorithms, and it's a frontier that regulators are watching closely.
Second-degree price discrimination charges different prices based on the quantity consumed or the version of the product selected. The seller doesn't need to know anything about the individual customer. Instead, they offer a menu of options and let customers self-select into the pricing tier that matches their needs.
Examples are everywhere:
| Mechanism | Example | How It Works |
|---|---|---|
| Volume discounts | Costco bulk sizes | Buy more, pay less per unit |
| Versioning | Spotify Free vs. Premium | Same core product, different feature sets |
| Bundling | Microsoft 365 suites | Package multiple products at a combined price |
| Good-Better-Best | iPhone, iPhone Pro, Pro Max | Tiered products at escalating prices |
| Quantity tiers | SaaS pricing (10/50/100 seats) | Per-unit cost decreases with commitment |
| Coupons/rebates | Grocery store coupons | Price-sensitive customers self-select |
I think second-degree price discrimination is the most elegant of the three because it uses customer self-selection rather than seller classification. The seller doesn't decide who pays what. The buyer does, by choosing which version, quantity, or tier to purchase. It feels fairer to consumers because the choice is in their hands, even though the menu is strategically designed to maximize the seller's total revenue.
Third-degree price discrimination charges different prices to different customer groups based on observable characteristics, typically demographics, location, or status. This is the most common form and the one most people think of when they hear "price discrimination."
| Customer Group | Common Discounts | Industry |
|---|---|---|
| Students | 10-50% off | Software, entertainment, transit |
| Seniors (65+) | 10-25% off | Restaurants, retail, travel |
| Military/Veterans | 10-20% off | Retail, travel, insurance |
| Geographic (by region) | Varies widely | Software, digital services, education |
| Time-based (day vs. night) | 20-40% off-peak | Utilities, ride-sharing, travel |
| Membership status | Varies | Wholesale clubs, loyalty programs |
The logic is straightforward: different groups have different price elasticities. Students are more price-sensitive than working professionals. Weekend travelers are more price-sensitive than business travelers. By offering different prices to different groups, the seller can serve price-sensitive customers (who wouldn't buy at the full price) while still charging the full price to less price-sensitive customers.