Latest / Pricing Power Podcast with Fexingo: How Businesses Set Prices, Raise Margins, and Win Customers / How Airlines Price the Same Seat Differently
Transcript
- Lucas: So I booked a flight to Chicago last week. Round trip, midweek, three weeks out — about two hundred and sixty dollars. The guy next to me on the plane? He paid nine hundred for the same route, same cabin, same day. And neither of us was in a fare class that even existed twenty years ago. Luna: Nine hundred bucks? That's not just a different fare — that's a different planet. What did he get for that premium? Lucas: Honestly? A slightly more flexible ticket, maybe a full refund if he cancelled. But the seat was identical. The meal was the same pretzels. And that gap is the entire business model of modern airlines. Luna: So it's not about cost — the flight costs the same for both of you. It's about what each of you is willing to pay, right? Lucas: Exactly. And the magic is that airlines have gotten incredibly good at figuring out your willingness to pay before you even click 'search.' This is the world of revenue management — the discipline that took the airline industry from near-bankruptcy to record profits. Luna: I always thought it was just 'dynamic pricing' — the algorithm changes the price based on demand, like Uber surge pricing. But you're saying it's more nuanced than that? Lucas: Right, and that's the common misconception. Uber surge pricing is reactive — prices spike when demand outstrips supply in real time. Airlines are doing something far more sophisticated. They're forecasting demand months in advance, segmenting passengers, and selling a perishable product — a seat that becomes worthless at takeoff — at the highest price each passenger will bear. Luna: So it's almost like a auction, but you never see the other bids. Lucas: Exactly. And the architecture of that auction is called fare classes. Here's the thing: when you see a fare of two hundred sixty dollars, that's not one product — it's a bucket. Airlines divide the cabin into maybe ten to twenty different fare classes, each with its own price, rules, and availability. The cheapest bucket might be non-refundable, no changes, no seat selection. The most expensive might be fully flexible and refundable. Luna: And they control how many seats are in each bucket at any given time. Lucas: That's the core. The revenue management system monitors bookings in real time. If a flight is selling faster than forecast, it closes the cheap buckets and opens more expensive ones. If it's selling slow, it opens more cheap seats to stimulate demand. It's a constant rebalancing act. Luna: So the price you see is less a number and more a snapshot of the airline's current guess about demand for that flight. Lucas: Yes. And the data they use to make that guess is staggering. Historical booking curves for that route, seasonality, day of week, holidays, even the weather forecast. They know that business travelers tend to book short-haul flights two weeks out and long-haul four weeks out. They know leisure travelers book further in advance and are price-sensitive. So they can open and close fare buckets to separate the two. Luna: It's like they've built a psychological profile of every type of traveler. Lucas: And they're constantly refining it. The big US carriers — Delta, United, American — have in-house revenue management teams and proprietary algorithms. They test thousands of pricing scenarios per flight, per day. One Delta executive said their system considers something like ten million variables per pricing decision. Luna: Ten million variables — that's not a gut feeling, that's a machine. Lucas: Right. And the reason they invest so heavily in this is simple: it works. According to industry estimates, revenue management can add five to ten percent to an airline's top line. On a company like Delta, which pulled in over sixty billion dollars in revenue last year, that's billions of dollars of extra profit, just from smarter pricing. Luna: So when I see a fare for three hundred dollars and my colleague sees four hundred for the same flight, it's not random — it's the system doing its job. Lucas: Exactly. And here's a fascinating twist: the price you're offered can depend on your own digital fingerprint. Airlines, through their websites and apps, can infer your willingness to pay based on your search history, your device, even your location. If you've been searching for a route repeatedly, they might quote you a higher fare, assuming you're a business traveler with a deadline. Luna: So clearing your cookies isn't just a privacy thing — it's a pricing strategy. Lucas: Ha, absolutely. But here's where it gets really interesting: the whole system is built on a model that assumes passengers are roughly rational and predictable. And then the pandemic came along and blew up every booking curve they had. Luna: Right, because suddenly no one was booking anything. Lucas: Their models were useless. And that's why you saw those weird fares during the recovery — flights selling for a hundred dollars to Florida, or five thousand for a regional hop. They were recalibrating from scratch. But now, in 2026, the algorithms have more data than ever, and they've gotten scarily good. Luna: So what does that mean for us, the passengers? Are we completely at the mercy of the algorithm? Lucas: Not entirely. There are still a few things you can do — and they come straight from the logic of the system. First, book at the right time. For most domestic routes, the sweet spot is about six to eight weeks out. Too early and you're paying a premium for the early birds. Too late and the cheap buckets are gone. Luna: And what about the myth that Tuesday is the cheapest day to fly? Lucas: That one's actually turned out to be mostly false — the day you book matters less than the day you fly. But there is a real trick: search in incognito mode, and clear your cookies. It won't always work, but it can prevent the algorithm from nudging your price up if it thinks you're coming back. Luna: And what about those fare classes? Can you tell which bucket you're buying into before you pay? Lucas: Sometimes, if you dig into the fare rules — the fine print that shows changes and cancellation fees. But honestly, the most reliable trick is to look at the upgrade cost. If the airline is offering a paid upgrade to first class for a hundred bucks, that's a signal that your fare class is low — they're trying to upsell you. If the upgrade is eight hundred, you're probably in a higher bucket already. Luna: Interesting. So you can sort of reverse-engineer the algorithm. Lucas: Yeah, and that's exactly what a growing number of travel hackers are doing. There's a whole community that shares data on fare class availability and booking patterns, almost like a citizen science project on airline pricing. Luna: But at the end of the day, the airline is always going to win, aren't they? They have the data, the compute, and the incentive. Lucas: They do, but here's the thing — the system only works because it's not perfect. If every passenger knew exactly how to game it, the whole edifice would crumble. The opacity is the product. Luna: So the same reason you can't get a straight answer out of a fare is the same reason the airline can charge your seatmate nine hundred bucks. Lucas: Exactly. And you know, it's a strange feeling to be part of that experiment every time you fly. You're not just a passenger — you're a data point in a real-time pricing auction. Luna: And if you're a frequent flyer, you're probably a very valuable data point. Lucas: Oh, absolutely. Loyalty programs are part of it too — they use your miles to build a profile of your purchasing behavior. But that's a whole other episode. Luna: We should do that one. But before we forget — if today's episode made you think about pricing in a new way, or maybe saved you a few bucks on your next flight, that's exactly the kind of thing that keeps this show going. If you ever want to support what we do, there's a link at buy me a coffee dot com slash fexingo. Someone once told me they'd rather buy us a coffee than pay for another checked bag, and honestly, that feels like a fair trade. Lucas: Ha, that's a good way to put it. And we mean it — no pressure, only if it feels right. Now, back to the pricing game. There's one more layer I want to pull back: how airlines price the same seat across different booking channels. Luna: You mean like booking direct versus through a third-party site? Lucas: Exactly. It's not always a difference, but sometimes you'll see a fare on Google Flights that's cheaper than the airline's own site — because the airline pays a commission to the aggregator, and they're willing to eat that to capture a customer who might not have found them otherwise. Luna: So sometimes the 'cheap' option on an OTA is actually a loss leader for the airline. Lucas: Right, and it's all part of the same game — every click, every search, every booking is a signal. And the airlines have gotten so good at reading those signals that the next frontier is fully personalized pricing. Imagine logging in and seeing a fare that's tailored specifically to you, based on your past behavior, your travel patterns, even your social media activity. Luna: That sounds like a privacy nightmare, but also a pricing revolution. Lucas: It's already happening in small ways — some airlines test different prices for different users on the same route. The question is how far they'll take it, and whether regulators will step in. For now, the system works because it's not transparent. The moment it becomes transparent, the whole game changes. Luna: So maybe the real hack isn't clearing cookies or booking six weeks out. Maybe it's just accepting that you're never getting the 'fair' price — you're getting the price the algorithm thinks you'll pay. Lucas: That's the uncomfortable truth. But the good news is, the algorithm is still learning. And every time you search incognito, every time you book at the right time, you're teaching it something new. So maybe the game isn't rigged — it's just complicated. Luna: And that's what makes it worth studying. Thanks for listening, everyone. Lucas: We'll be back next week with another pricing puzzle. Until then, safe travels — and may the fare be ever in your favor.