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Decoy Effect

The decoy effect β€” also called asymmetric dominance β€” occurs when a third option is added that is clearly inferior to one of two original choices but only slightly worse than the other. Nobody chooses the decoy. Its purpose is to shift the comparison frame so the target option looks obviously better.

5 min readProduct Β· Marketing Β· UX

In 1992, economist Joel Huber ran a study on consumer choice. He gave people two options for a beer: a cheap one and a premium one. Half of them chose each. Then he added a third option: an even cheaper, lower-quality beer. This new option was not attractive to anyone -- but its presence made the original cheap beer look better by comparison. Suddenly, significantly more people chose the premium option. The cheap beer had become the decoy.

The decoy effect -- also called asymmetric dominance -- works when a third option is added that is clearly worse than one of the original two in almost every way, but only slightly worse than the other. It does not attract buyers. What it does is shift the comparison. It makes the option it is close to look better by being nearly as good, and it makes the option it is far from look much more attractive by contrast.

You have felt this in real life. The medium popcorn at the cinema is $5. The large is $5.50. The small is $4.50. Nobody wants the medium -- but it makes the large look like an obvious deal. The small is the cheap option, the medium is the decoy, and the large is the target. The pricing is not arbitrary. It is engineered to funnel you to the large.

✦ How it works
βœ“
The decoy is "asymmetrically dominated." In a straightforward two-option choice, both options have trade-offs. When a third option is added that is clearly worse than option B but only a little worse than option A, it creates an imbalance. Option B now "dominates" the decoy. That dominance relationship makes B look like the obvious choice.
βœ“
Nobody chooses the decoy. The decoy's job is not to sell. It exists only to make another option look better. When designing with the decoy effect, the middle tier in a pricing table is often the decoy -- just enough features to seem relevant, but priced or limited in a way that makes the tier above it look like an obvious upgrade.
βœ“
It works because we evaluate options relatively, not absolutely. We do not walk into a decision with fixed, stable preferences. We form preferences based on what we are comparing. Give someone only two options and they will evaluate each one on its own merits. Add a strategically placed third option and you change the comparison frame -- which changes the choice.
β€œHumans rarely choose things in absolute terms. We focus on the relative advantage of one thing over another.”
β€” Dan Ariely, Predictably Irrational, 2008

Two options vs three -- feel the difference yourself

The demo below lets you choose a subscription plan -- first with two options, then with three. The plans and prices are identical in both versions. The only thing that changes is the presence of a decoy. Notice how differently the choice feels, and which option you are drawn to, in each scenario.

BeforeWithout decoy -- genuine trade-off, no clear winner
Choose planSkip
Upgrade your workspace
Both plans include all core features.
Basic
$9/mo
5 projects
10 GB storage
Email support
Analytics
API access
Pro
$29/mo
Unlimited projects
50 GB storage
Priority support
Analytics
API access
Tap a plan to continue

A genuine trade-off: $9 with limitations vs $29 with everything. Neither feels obviously right.

AfterWith decoy -- Pro suddenly feels obvious
Choose planSkip
Upgrade your workspace
All plans include core features.
Basic
$9/mo
5 projects
10 GB storage
Email support
Analytics
API access
Standard
Standard
$25/mo
15 projects
20 GB storage
Email support
Analytics
API access
Best value
Pro
$29/mo
Unlimited projects
50 GB storage
Priority support
Analytics
API access
Tap a plan to continue

Standard at $25 gets you analytics but no API. Pro at $29 gets you everything. For just $4 more the upgrade is obvious -- that is the decoy at work.

The Standard plan at $25 is the decoy. It is priced close enough to Pro ($29) that the gap feels small, but it lacks API access, has project limits, and offers worse support. The comparison makes the $4 difference feel negligible. Before the decoy, $29 vs $9 felt like a significant jump. With the decoy, $25 vs $29 reframes the Pro upgrade as a minor cost for a major gain.


The classic example -- newspaper subscriptions

Dan Ariely documented the decoy effect in a famous real-world case. The Economist magazine offered three subscription options: Web only at $59, Print only at $125, and Web + Print at $125.

The print-only option at $125 is the decoy. Nobody in their right mind would pay the same price for print alone when web + print is available for the same money. Ariely surveyed MIT students: 84% chose web + print, 16% chose web only, and nobody chose print only. Then he removed the print-only option. Without the decoy, the choice shifted dramatically: 68% chose web only and only 32% chose web + print. The same product, the same price -- but removing the decoy cost the magazine a huge slice of its premium subscribers.

The Economist -- reconstructed
economist.com/subscribe
Choose your subscription
Web only
$59/yr
Online articles
App access
Print edition
The decoy
Print only
$125/yr
Online articles
App access
Print edition
Nobody chose this. It exists to make Web + Print look like a deal.
Web + Print
$125/yr
Online articles
App access
Print edition
84% chose this (with decoy)
32% without it
Conversion to Web+Print
With decoy
84%
Without decoy
32%

The print-only option at $125 is obviously worse than web + print at the same price. It is dominated. But its presence makes web + print feel like an unmissable deal -- you are getting more for the same money. Without it, web + print at $125 sits next to web-only at $59. Now it looks expensive. The decoy changed the frame of the comparison, not the product.


Honest vs manipulative use

Like most of the tools in behavioural design, the decoy effect can be used honestly or manipulatively. The honest version: you have a product tier you genuinely want most users to choose because it is the best fit for most use cases. Adding a decoy that makes that tier look like the right choice is a nudge toward a recommendation -- not deception, because the product is genuinely what you are steering toward.

The manipulative version: the decoy is used to steer users toward a higher-margin tier they do not need, by making an inflated price look reasonable by comparison. Or the decoy itself is presented as a real option -- a plan that is technically purchasable but designed only to make another look good, with no intention of the decoy ever delivering value. If a user bought the decoy and felt deceived by what they got, the line has been crossed.

The test is the same as always: would users endorse the design decision if they understood it? A decoy that helps users find the right plan for their needs is a design tool. A decoy that tricks users into overspending is manipulation.

βœ“ Apply it like this
β†’Use a middle tier to frame the option you genuinely recommend for most users -- not to inflate revenue from users who do not need a higher tier.
β†’Make the decoy a real, purchasable plan that delivers genuine value -- the decoy effect frames the comparison, but the plan itself should still be honestly priced.
β†’Use the outer tiers (Starter and Enterprise) in a three-plan layout to frame the middle tier as the "just right" option -- this is the standard application and it matches most users' genuine needs.
βœ— Common mistakes
β†’Engineering a decoy whose only purpose is to make an overpriced tier seem affordable -- if the target tier is not genuinely the best fit for most users, the decoy is misleading.
β†’Inflating the decoy price to make a high-margin option look cheap by comparison -- when the decoy itself is fake-priced rather than legitimately positioned.
β†’Stacking decoys -- more than one decoy in a pricing table creates a pattern that erodes trust when users notice the structure is designed to steer rather than inform.

Huber, J., Payne, J. W., & Puto, C. (1982). Adding asymmetrically dominated alternatives. Journal of Consumer Research, 9(1), 90--98. Ariely, D. (2008). Predictably Irrational. HarperCollins. Simonson, I. (1989). Choice based on reasons: The case of attraction and compromise effects. Journal of Consumer Research, 16(2), 158--174.