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Video · 2026-07-27 · 1h 15m · 6 moments

Killer marketing tricks Amex, Apple and Domino's use on you - Rory Sutherland

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01
Claim

There are two ways of making money: make desirable things or make things desirable, and the laws of psychology are more malleable and cheaper to work with than the laws of physics.

Rory states his core thesis: businesses obsess over engineering better products but neglect the far cheaper and more powerful lever of psychology — making things desirable rather than just making desirable things.

transcript

Rory Sutherland: There are two ways of making money. You can either make desirable things or you can make things desirable. And there's not much you can do about the laws of physics. Whereas the laws of psychology are magnificently malleable.

02
Anecdote

The horsepower was invented as a marketing unit — not an engineering measurement — and Watt & Bolton pioneered hardware-as-a-service pricing in 1775, both to make steam engines comprehensible and attractive to buyers.

Rory recounts how Watt and Bolton created the 'horsepower' unit so mine owners could calculate savings in familiar terms, and offered a pay-from-savings model that aligned incentives — two centuries before 'hardware as a service' became a buzzword.

transcript

Rory Sutherland: An invention isn't an innovation until it changes behavior. And you can invent anything you like, but if you can't get anybody to adopt it, it's an invention, but it's not an innovation. And what was selling steam engines to mine owners? And the purpose of the steam engine was to replace the horses they used to walk round and round in circles draining the mines so that miners could go in and effectively mine coal slate coal whatever without drowning. What he realized is that you could you as an engineer you could talk around you know the calorific capacity of the boiler or the length of the piston stroke or whatever and these people didn't want to know. So Watson and Bolton amongst themselves said, 'Well, what do these people really want to know before they're prepared to buy a steam engine?' They said, 'They want to know how many horses they no longer need to feed if they buy a steam engine. How many horses can I get rid of if I buy the steam engine?' So what went out and invented a unit we still use today, which is called the horsepower. And the reason it's not named after a famous scientist like the M or the Newton or the Koulom or the Watt for that matter or Celsius or anything of that kind is because it's a marketing unit. It was invented for marketing purposes because he could then go and say if you buy 25 horsepower steam engine you can actually get rid of 75 horses cuz I think the horses worked in shift. So it does the work of 25 horses but it does it 24 hours a day. So you can now get rid of of 75 horses. And these people would go scribble, scribble, scribble, scribble, scribble. Cost of horses, cost of feeding horses, cost of looking after horses. And you know, on the back of an envelope, they could then go, we'll have two of those. By the way, it went even further than that. I mean, the industrial revolution was a marketing revolution every bit as much as it was an industrial revolution because there was no point in being able to produce things in abundance if you couldn't create corresponding demand. So, you know, one of the things about the 18th and 19th century in England was it was an absolutely pioneering period in terms of how people marketed things and that included the steam engine where what and Bolton would go to a mine owner. Now, let me get this right. Some people were already using Nukeman engines which were less efficient steam engines than the Watt engine. and Watt and Bolton would go along to the people who are already using these inefficient steam engines and this is how they priced their their own steam engine. They said, 'We'll supply it for free. You pay us a third of the money you save on coal.' So it was literally hardware as a service. Bear in mind this was 1775. I mean years later Rolls-Royce started charging airlines for jet engines in the same way. Effectively, you pay us for every hour the engine is in service. Now what was ingenious about that was of course it aligned the interests of the people selling the steam engines and the people owning the mines because the people in the country where coal was most expensive most needed to save money on coal that was Cornwall where there were tin mines quite a long way away from any available coal field. So coal was more expensive there. And so the first Watt engines tended to be installed in places where coal was most expensive which meant the mine owners saved more money and Watt and Bolton made more money. So they were actually capturing the upside. Whereas if all you done is said, 'Yep, it's 100 guineas for a steam engine.' You wouldn't been capturing any of the upside.

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03
Example

Range anxiety is primarily a psychological problem, not a physical one — it is far cheaper to reduce anxiety through framing than to increase battery range through engineering, yet industry spends billions on the latter and nothing on the former.

Rory uses the difference in his own emotional reaction to the same range expressed as a percentage vs. a mileage figure — plus his wife's Mini vs. his Lotus — to demonstrate that anxious feelings about electric car range are driven by psychology, not physics.

transcript

Rory Sutherland: Now this is the classic thing which is that engineers whether they know it or not deep down just want to impress other engineers. Okay. And so a psychological solution in their engineering community will be seen as cheating. So, I make the same point about electric cars, which is you have this thing called range anxiety, and we're spending billions and billions of dollars a year trying to produce batteries with a higher energy density. It's a really good thing. I'm not I'm not saying, 'Hey, engineers, you're wasting your time.' But isn't it cheaper just to reduce anxiety rather than to increase range? Because if the way to reduce range anxiety is always to increase range, we'll end up with electric cars being heavier than they need to be, more expensive than they need to be, and you know, with 50 kilowatt hours sitting outside your house 95% of the time effectively doing nothing. So reducing anxiety and I realized by the way how irrational this is and I explain the story which is it it fascinates me because one of the things I think that helps if you want to do this is to have some degree of metacognition. which is you don't just think, you think about your own thinking. It's apparently true of fighter pilots. The really good fighter pilots have good cognitive skills, but they also have good metacognitive skills. They don't just go, I'm going to do that instinctively, but they also ask, 'Is there a reason why I shouldn't be doing that in this instance?' Okay? Or this time it's different, as it were. And so my wife's car is a Mini Kooper electric and it's got about I I guess it's about uh 28 30 kWh battery and a range of about 100 miles. And I've got the Lotus Electray which is 112 kWh battery, a range of about 300 miles. And I got back from quite a lot of driving. I've been down to Wales and back and the car's down to 16%. Okay. And I'm going and all the lights have gone amber because it's at 16%. And I'm get I'm I'm going white knuckle on this. I'm going god I'm down to I'm 16%. Oh my goodness. I was down to 16%. Then I look at the actual range and it's about 58 miles. Now my wife's car that's 56%. Okay. In my wife's car we drive around at 56% i.e. with a range of 56 miles all the time without the slightest smidgen of anxiety. But when that's expressed as 16% not 56 miles, okay, I'm suddenly having conions and really panicking. Now, what that suggests is that range anxiety is much more a factor of psychology than it is of physics. And the problem with trying to increase battery range is that laws of physics are actually kind of set in stone to a large part. Okay? There's not much you can do about the laws of physics. Whereas the laws of psychology are magnificently malleable. And so that's the thing that really interests me because we spend a lot of time effectively trying to uh work within the laws of physics which are immutable when it would be a lot easier just to say actually you know why don't we why don't we take this undesirable thing and make it cool right? You know this is the uh elevators need to go faster. No no just put a mirror in the elevator. Just put a mirror. Just put a mirror.

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04
Mechanism

The smartest competitive move is reverse benchmarking: find a metric your competitors have completely neglected — something they don't even measure — and over-invest in it spectacularly, turning a category weakness into a signature strength.

Rory introduces reverse benchmarking — looking past the metrics everyone in a category obsesses over and instead picking a ridiculously neglected one to dominate. He illustrates with Will Guidara appointing a coffee sommelier after diners said the world's best restaurant had average coffee, and Buc-ee's turning women's restrooms into a destination.

transcript

Rory Sutherland: So I call this reverse benchmarking. In other words, you look at all the metrics that everybody cares about in the category. You find a metric that's been completely and ridiculously neglected and you double down on that thing. Now I first came across this in Will Guidara's fantastic book, Unreasonable Hospitality. He goes to the number one restaurant in the world. All of his team say, 'We ought to copy this. We ought to do that thing with the napkins. I really like what they do in the bathrooms with the scented whatever. Let's copy that.' And Guidara goes, 'Not going to copy any of that.' Because two, one, we can't afford to. And two, they're already doing it. What I want to know from you is what out of this evening at the world's best restaurant, a Michelin star restaurant somewhere. What was a bit disappointing? What was a bit meh? And they said the coffee was a bit average, you know, it was nothing special. And the beer drinkers, probably the chefs who'd gone along, got treated really crappily, shabbily compared to the wine drinkers. So he goes back to his own restaurant and he appoints a coffee sommelier and a beer sommelier. And he says, 'Your job is not just to benchmark against these people, it's to hit it out of the park.' Now, if you think about it, taking something that's bad about the category, not not saying we need to raise our level to the category average, but instead doing it spectacularly well, something that nobody's expecting. That was what Apple did, I would argue. Okay. That's what Bies did. I don't know if you're Bies. Where where are you in the US? Okay. It basically started with an insight around women's restrooms. Now, you could have just had averely clean women's restrooms and you would have benchmarked. No, no, no. They're like the bloody hall of mirrors at Versailles, right? I mean, I haven't been in them, but the men's restrooms are pretty good, but the women's ones are apparently sensational.

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05
Data

Large organizations become structurally risk-averse because pushing accountability downward makes individual managers fear personal job loss more than they value expected gains, causing them to reject highly favorable probabilistic bets — and this kills innovation and marketing, which are inherently fat-tailed activities.

Rory tells the story of Richard Thaler asking eight division heads if they would take a bet with strongly favorable odds: six of eight said no because they would lose their job if it failed. The CEO wanted them all to take it for aggregate upside, but individual accountability killed risk-taking — and with it, the discovery layer needed for breakthrough innovation.

transcript

Rory Sutherland: There's a wonderful story I always tell which is Richard Thaler the Nobel prize winning economist and behavioral economist the author of Nudge. He once spoke to a board of about 10 people very large company. And he goes to the eight heads of the largest divisions of this company and he asks them all simultaneously a question. Would you take a decision if it had a 50% chance of increasing your profits next year by 50% and a 20% chance of reducing your profits by 30%. And six out of the eight of them said no. And Thaler goes back and says well you know you're all good enough mathematicians I assume to realize these are highly favorable odds. to a gambling man, you know, this is a very very good bet and yet you declined to take part. Why is that? And they reply six out of the eight of them uh because uh 20% of the time or 30% of time I'd lose my job. And then the interesting thing happens which is the chief executive is sitting at the end of the table and looks aghast at the eight people and goes but I want all of you to take those odds because net net in aggregate we'd almost certainly end up massively better off. Yes, two divisions, one division might have a slightly disappointing year but four of them would perform spectacularly. And you realize that the way that businesses are structured, as you push responsibility and accountability further and further down the organization, they become more and more risk averse and they become more and more uncertainty averse. So they would prefer a definite 5 to 10% to a probabilistic a 50% chance of 50%. And what happens then is that you fundamentally you become highly conservative. You're more worried about downside avoidance than you are upside opportunity. And as a result, obviously both innovation and marketing, I would argue, are fat tailed activities where 10% of what you do is probably more valuable than everything else. You know, you can't tell in advance which 10% it's going to be. They are processes of exploration and discovery. And what you do is you get rid of the discovery layer in the pursuit of efficiency. And in the short term it looks like a great idea but in the longer term it it proves fatal I think because you've lost the capacity to adapt to reinvent to reposition in pursuit of the occasional um the occasional breakthrough.

06
Example

Uber grew the taxi market rather than just cannibalizing it by competing on psychology — transforming the booking, waiting, and paying experience — not on the ride itself or on price, which reveals that the biggest opportunities often lie outside the product dimension everyone is measuring.

Rory argues that analysts underestimated Uber because they modeled it as cannibalizing existing taxi demand, but Uber tripled the market by removing psychological bottlenecks: showing availability, estimated price, the car's location, and simplifying payment — competing on the experience around the ride, not the ride.

transcript

Rory Sutherland: Everybody was looking at it as if it was purely cannibalizing an existing market. Now what the economists and what the Harvard Business Review would say is that they achieved this through lower prices. I don't think they did. I don't think Uber's actually reliably cheaper necessarily. Okay? I think they achieved it through better psychology. And the example I had of what I call these are the sort of fat tailed Jeff Bezos puts it very well. He says, you know, in baseball the most you can score is four, but in business you can hit a thousand. And I think that the fear of uncertainty and the and the unwillingness to experiment in business is causing people to endlessly try and sort of hit singles and at the expense of occasionally trying to hit a thousand.

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