Pricing Experiments You Might Not Know, But Can Learn From
Gammy Dodger stashed this in Business Tips and Tricks
Lots of entrepreneurs struggle with pricing. How much to charge? It’s clear that the right price can make all the difference – too low and you miss out on profit; too high and you miss out on sales.
Don’t ask, can’t tell
Asking people what they’d pay for and how much rarely works. For one thing people will tell you what they WANT to pay—which is obviously much less than what your product or service is actually WORTH. Second, what people say and what people do are very different things.
When it comes to money, people are unable to predict accurately whether they’d pay or not. It’s much easier to spend hypothetical dollars than real ones.
Also it’s worth remembering that people really don’t know how much things are worth, what’s a fair price (which is the reason TV-shows like “The Price is Right” can actually exist).
William Poundstone, the author Priceless: The Myth of Fair Value says this:
“People tend to be clueless about prices. Contrary to economic theory, we don’t really decide between A and B by consulting our invisible price tags and purchasing the one that yields the higher utility, he says. We make do with guesstimates and a vague recollection of what things are “supposed to cost.””
People are weird and irrational, and there’s much we don’t understand. Like why do shoppers moving in a counterclockwise direction spend on average $2.00 more at the supermarket?
Why does removing dollar signs from prices (24 instead of $24) increase sales?
What will work for you depends on your industry, product and customer. When you try to replicate what Valve did to increase their revenue 40x, it might not work for you, but then again, why not give it a try?
Here’s a list of pricing experiments and studies you can get ideas from and test on your own business.
The Economist and decoy pricingDan Ariely describes this famous example in his amazing book Predictably Irrational. He came across the following subscription offer from The Economist, the magazine (he’s also explaining this in his TED talk here):
Both, the print subscription and Print & web subscription cost the same, $125 dollars. Ariely conducted a study with his 100 bright MIT students. 16 chose option A and 84 option C. Nobody chose the middle option.
So if nobody chose the middle option, why have it? He removed it, and gave the subscription offer to another 100 MIT students. This is what they chose now:
Most people now chose the first option! So the middle option wasn’t useless, but rather helped people make a choice. People have trouble comparing different options, but if 2 of the options given are similar (e.g. same price), it becomes much easier.
The same principle was used with travel packages.
When people were offered to choose a trip to Paris (option A) vs a trip to Rome (option B), they had a hard time choosing. Both places were great, it was hard to compare them.
Now they were offered 3 choices instead of 2: trip to Paris with free breakfast (option A), trip to Paris without breakfast (option A-), trip to Rome with free breakfast (option B). Now overwhelming majority chose option A, trip to Paris with free breakfast. The rationale is that it is easier to compare the two options for Paris than it is to compare Paris and Rome.
A graph to describe this:
So if you add a slightly worse option that is similar to A (call it A-), then it’s easy to see that A is better than A-, hence many people choose that.
How you can use it: Add a decoy package or plan to your offer page, next to the offer you really want them to take.
The magic of number 9Go to Wal-Mart and you see prices ending with 9 everywhere. Does it really work? Surely all intelligent people understand that $39 and $40 are basically the same.
Well, in eight studies published from 1987 to 2004 charm prices ($49, $79, $1.49 and so on) were reported to boost sales by an average of 24 percent relative to nearby prices (as per Priceless).
In one of the experiments done by University of Chicago and MIT, a mail order catalog was printed in 3 different versions. One women’s clothing items tested was sold for $39. In experimental versions of the catalog, the company offered the same item for $34 and $44. Each catalog was sent to an identically sized sample.
There were more sales at the charm price of $39 than at either of the other prices, including the cheaper $34. $39 had both greater sales volume and greater profit per sale.
People used to download music for free, then Steve Jobs convinced them to pay. How? By charging 99 cents.
The explanation of why numbers ending with 9 work better has been much debated over the years. Mental rounding alone can’t explain it. Seems that 9 truly is a magic number.
Is there anything that can outsell 9?
Researches found that sale price markers (with the old price mentioned) were more powerful than mere prices ending with the number nine. In the following split test, the left one won:
Then they they split tested the winner above with a similar tag, but which had $39 instead of $40:
This had the strongest effect of all.
I’m wondering whether the effect of this price tag could be increased by reducing the font size of $39. Say what?
Marketing professors at Clark University and The University of Connecticut found that consumers perceive sale prices to be a better value when the price is written in a small font rather than a large, bold typeface. In our minds, physical magnitude is related to numerical magnitude.
Oh yeah, when you go to Nordstrom, you don’t see any prices ending with a 9. The subliminal message here is “expect to pay”.
Anchoring and the contrast principleDo this test at home. Pour water in 3 bowls. Fill one bowl with cold water, the second with hot water and third one with lukewarm water. Now stick one hand in the cold water and the other one in the (not too) hot water. Keep them there for 30 seconds or so. Now put both of your hands into the lukewarm bowl. One hand will feel the water is warm, the other one that it’s cold.
It’s about the contrast. The same principle applies to price. Nothing is cheap or expensive by itself, but compared to something.
Once you’ve seen a $150 burger on the menu, $50 sounds reasonable for a steak. At Ralph Lauren, that $16,995 bag makes a $98 T-shirt look cheap.
What’s the best way to sell a $2000 wristwatch? Right next to a $12 000 watch.
This mental process has a name. It’s called anchoring and adjustment.
In the 1970s by two psychologists by the names of Tversky and Kahneman theorized that suggesting an initial figure to a test subject caused that subject to use that number as a starting point for estimating unknown quantities.
In their study test subjects were told the number 65 and then asked to estimate what percentage of African nations were members of the UN. The average response was 45%. They then tested a second group but salted them with the number 10 and their average response was 25%. Amazingly the group that was primed with the number 65 estimated nearly twice the true answer (23%) while the group primed with the lower number estimated a lower percentage (much more accurately).
Anchoring influences prices
Poundstone describes an experiment done with real estate prices. The researchers invited real estate experts and undergrad students to appraise a home for sale. All the test subjects were given the information a buyers would normally have, including a list of houses that recently sold, nearby houses currently for sale and so on + what the seller had listed the house for.
The subjects were divided into 4 groups, each given a different listing price, and were then asked to estimate what the home was worth.
These were the results:
Listing PriceAvg Estimated Worthby StudentsAvg Estimated Worthby Experts$119,900$107,916$111,454$129,900$120,457$123,209$139,900$123,785$124,653$149,900$138,885$127,318Anchoring worked even on real estate pros that had been selling properties in the area for 10+ years. Next time somebody asks you for a rough estimate or a ballpark figure, make sure it’s high!
How you can use it: Start throwing out high numbers. Add some very expensive products to the selection (that you don’t even intend to sell). If the final price of your service / product is a result of negotiations, start high. If you’re competing on price, state how much others are charging before revealing your price.
He tested a single, straightforward $49/yr offer vs 2 plans ($49/yr and $24/yr) vs 3 plans (added a freemium plan).
The result? Surprisingly the single price offer won. Why? His own guess:
“It does pay to align pricing with your overall positioning. Our unique value proposition is built around being “hassle-free and simple” and people seemed to expect that in the pricing model as well.”
It might also be that in these complex and fast times we live in, people yearn for simplicity.
Note: His freemium plan actually converted 12% more, but had the lowest retention. Be careful when offering free plans. You might just end up with a ton of free users to support and pay for.
How you can use it: Consider your positioning and see if you can align your pricing to it. If you’re offering different plans right now, experiment with a single plan.
Pay what you wishPay what you want is a pricing system where buyers pay any desired amount for a given product, or nothing at all. In some cases, a minimum is set, and/or a suggested price may be indicated as guidance for the buyer. The buyer can also select an amount higher than the standard price.
Suggested price can be a good idea – remember anchoring? Setting a fair suggested price gives the customer a true sense of value. It won’t prevent low offers, but it will keep more buyers in your ballpark.
What about counter-offering lowballs? The danger here would be to appear that you’re just toying with them and it’s not really “pay what you wish”. GetElastic brings this example:
“Coming back with counter-offers is merely e-bargaining. It reveals you have a reserve price, and instead of offering a sale, customers must “guess” how low you’ll go. At worst, customers may feel they are being gamed into pay more than a sale price.
Ashampoo Software (that’s not a typo) gets downright insulting when you sink too low below “regular price.” The snarky dialog box reads a condescending “This offer is much too low. Please enter a reasonable price.” Users don’t have time to play guessing games about what is a reasonable offer only to be ridiculed by a script.”
Gap tried a variation of this too. They offered customers a one-day opportunity to name their price for certain styles of khaki pants on the www.gapmyprice.com microsite. Lowball offers were returned with slightly higher prices by the Gap, which the customer had one chance to accept or decline.
Since they’re not doing anymore, it probably did not go too well.
Well-known PWYW examples
In October 2007, the British band Radiohead launched their latest album – In Rainbows – on the Internet. The band allowed fans to download the album freely and offer, in retribution, any amount of money they would like. Later they disclosed that the download of their new album generated more profit than the accumulated downloads from all previous albums.
Panera Bread Co. used this same idea when it opened its first pay-what-you-want restaurant in Clayton, Mo. The company ended up making over $100,000 in revenue in the first month alone. It opened it’s 4th restaurant of this kind in Portland, and said at the time that about 20 percent of the visitors to the cafes leave more than the suggested amount, 20 percent leave less and 60 percent pay what is suggested.
But 9 months later it’s not doing so well. The Portland café is only making about 60 percent of the revenue of a regular, full-paying location, compared to an 80 percent take in the politer climes of St. Louis and Detroit. Also, the homeless tend to camp out there and stay all day if they aren’t shooed away, so Panera had to hire a bouncer.
It’s important to have fair minded customers for this model to work (homeless and hungry people probably care more about being fed, than being fair).
Combine “pay what you wish” with charity
There’s some research that pay what you wish pricing works best when combined with charity. Ayelet Gneezy, a marketing professor at the University of California-San Diego, conducted a field experiment at a theme park (sample size: over 113,000).
Customers were presented four different pricing schemes for souvenir photos: a flat fee of $12.95; a flat fee of $12.95 with half going to charity; pay-what-you-wish; and pay-what-you-wish with half going to charity.
At a flat fee of $12.95 per picture, only 0.5% of people purchased a photograph; when customers were told that half the $12.95 purchase price would go to charity, a meager 0.59% purchased a photo. Under the simple pay-what-you-wish variation, 8.39% of people purchased a photo (almost 17 times more than before), but customers paid only $.92 on average.
The final option — pay what you wish, with half the purchase price going to charity — generated big results: purchase rates of 4.49% and an average purchase price of $5.33, resulting in significant profits for the theme park. This is a substantial result, especially since it came from a real setting.
Of course, the anonymity of the Internet removes the social pressure one feels after being served personally by a human being. It’s one thing to have the amount you choose observed and another thing to download stuff without being seen.
The book Smart Pricing suggested that successful pay what you want programs are characterized by:
- A product with low marginal cost
- A fair-minded customer
- A product that can be sold credibly at a wide range of prices
- A strong relationship between buyer and seller
- A very competitive marketplace.
If this describes your business, give “pay what you wish” a go. Let us know the results.
Offering 3 optionsThe old truth about offering 3 pricing options holds water. Here’s a pricing experiment in selling beer – again from W. Poundstone’s amazing book Priceless.
People were offered 2 kinds of beer: premium beer for $2.50 and bargain beer for $1.80. Around 80% chose the more expensive beer.
Now a third beer was introduced, a super bargain beer for $1.60 in addition to the previous two. Now 80% bought the $1.80 beer and the rest $2.50 beer. Nobody bought the cheapest option.
Third time around, they removed the $1.60 beer and replaced with a super premium $3.40 beer. Most people chose the $2.50 beer, a small number $1.80 beer and arounf 10% opted for the most expensive $3.40 beer. Some people will always buy the most expensive option, no matter the price.
You can influence people’s choice by offering different options. Old school sales people also say that offering different price point options will make people choose between your plans, instead of choosing whether to buy your product or not.
How to test it: Try offering 3 packages, and if there is something you really want to sell, make it the middle option.
Price perceptionsI’m sure you know the classic “pennies-a-day” effect: “it costs less than $1 a day!”. NPR stations ask people to donate by joining their dollar-a-day club. Framed in that manner, the donation seems quite reasonable—about the cost of a cup of coffee. Contrast that with what would happen if they asked people to join their “$365 a year” club.
Neil Davidson writes this about price perceptions (in his book on software pricing called Don’t Just Roll the Dice):
“People base their perceived values on reference points. If you’re selling a to-do list application, then people will look around and find another to-do list application. If they search the internet and discover that your competitors sell to-do list applications at $100 then this will set their perception of the right price for all to-do list applications.”
If your product is more expensive than the common reference points, you need to change the perception of the category you’re in.
How did Starbucks get away with starting to charge $3 and more for coffee, when most other cafes were charging $1 or so? They changed the experience of buying coffee, so the perception of what people were getting, changed. It was like a different category product.
They also changed the name. Not just coffee, but Pike’s Place brew or Caramel Macchiato.
If you’re creating a new category, there’s no price reference and people are much more likely to accept any price you name.
How you can use it: If you want to charge more than the market average, look at the competition: how they package their offering; what’s the user experience like, and change that. If you look like a new category, people are more likely to pay up.
On the other hand, if you can profitably sell something much cheaper than the other guys, great. Use their pricing as the reference point and you’ll win.
Context sets perception
You are stranded on a beach on a sweltering day. Your friend offers to go for your favorite brand of beer, but asks what’s the most you’re ready to pay for the beer?
This was the scenario for a pricing experiment conducted by Richard Thaler.
They tested two scenarios. In the first one the friend was going to get beer from the only place nearby, a local run-down grocery store. In the second version, he was going to get beer from the bar of a fancy resort hotel. The ambiance of the hotel was irrelevant, as the beer was to be consumed on the beach.
Invariably, Thaler found, subjects agreed to pay more if they are told that the beer is being purchased from an exclusive hotel rather than from a rundown grocery.
It strikes them as unfair to pay the same. This violates the bedrock principle that one Budweiser is worth the same as another, and it suggests that people care as much about being treated fairly as they do about the actual value of what they’re paying for.
Thaler considered what his imaginary grocer could do to boost beer sales. He advised “investing in seemingly superflous luxury or installing a bar”. This would raise expectations about what the proper price of beer would be, resulting in more purchases.
How you can use it: Invest in seemingly superflous luxury. Use web design or packaging that says “expensive”.
Can I split test the price?Technically you can, but A/B testing your price is a dangerous territory. A number of companies (Dell, Amazon and others) in the past have been caught and got in trouble for doing just that, showing different price for the same product to different visitors.
A better and safer approach is to test the price across objects. Don’t test the same product for $19 vs $39. Rather you should test two different products that essentially do the same thing, but just have a different price tag.
Before deciding on your pricing strategy, it’s worthwhile to read Cindy Alvarez’s article where she makes the point that price is not the only cost to consider. When customers consider “what something costs”, they’re actually measuring three main drivers: money (cost), time (how long will it take to learn?) and mental energy(how much do I have to think about this?). Take into account the profile of your buyer.
Combine research from this articleIt seems to me that you could combine a lot of the research covered here into a single pricing experiment. How about this:
- You create 3 different plans/packages, and intend to sell mainly the middle one. If your product is expensive, make your website look expensive.
- The first plan is a decoy. It’s similar to the middle plan, but offers visibly less value while costing almost as much. Think of it as A- (as per The Economist example).
- Second plan, the one you want to sell, offers good value for money. The price ends with 9. Maybe it even shows that it has been reduced from a previously higher price or it’s a sale (either way, it has to be true / ethical).
- Third plan is to serve as a contrast to the middle one, it’s role is to anchor in a high figure. Make it much, much more expensive than the middle plan. You don’t actually intend to sell it, but there always the type that wants the most expensive plan – so make sure you can actually deliver on it.
If you decide to give this a try, let me know the results :)
Thanks for reading.
"Try offering 3 packages, and if there is something you really want to sell, make it the middle option."
I do see this a lot in subscription pricing models.