Decoy Effect
A pricing strategy where a third, inferior option is added to make one of two existing options appear significantly more attractive.
The decoy effect (also called the asymmetric dominance effect) is a psychological phenomenon in which adding a third, strategically inferior option to a choice set causes buyers to shift preference toward one of the original two — typically the more expensive one.
The decoy is not intended to sell. It exists to make the target option look superior by comparison.
The Classic Experiment
Dan Ariely’s subscription pricing experiment, documented in Predictably Irrational, demonstrated the effect clearly:
Without decoy:
- Online only: $59 — chosen by 68%
- Print + Online: $125 — chosen by 32%
With decoy added (print-only for $125):
- Online only: $59 — chosen by 16%
- Print only: $125 — chosen by 0%
- Print + Online: $125 — chosen by 84%
The decoy (print-only at $125, inferior to print+online at the same price) made print+online look obviously superior — and tripled its selection rate.
How the Decoy Effect Works
The decoy must meet two criteria:
- Asymmetric dominance: The decoy is clearly dominated by (worse than) the target option on all dimensions
- Price proximity: The decoy is priced close to the target — not obviously cheap
A decoy that’s too cheap or too obviously bad stops working. It needs to feel like a plausible option that someone might choose — until they look more carefully.
Decoy Effect in SaaS Pricing Tables
| Tier | Price/mo | What it does |
|---|---|---|
| Starter | €29 | Decoy — limited features, barely less than Pro |
| Pro ⭐ | €49 | Target — best value by comparison to Starter |
| Enterprise | €149 | Anchor — makes Pro feel accessible |
The Starter plan exists to make Pro feel obviously superior. The Enterprise plan anchors the high end. Together, they steer buyers to the €49 Pro plan.
Where to Apply the Decoy Effect
Pricing pages: Classic application — three tiers where the middle decoy makes the recommended plan look dominant.
Upsell flows: Show a product bundle where a lesser option (fewer items, smaller quantity) is priced to make the full bundle look like the clear winner.
Service packages: “Basic audit” vs “Full audit” — basic is priced to make full audit feel like obvious value.
Annual vs monthly plans: Monthly plan is often the decoy — expensive per month, making annual look like a steal.
Testing Decoy Effect Hypotheses
The decoy effect is highly testable. Hypotheses:
- Reorder your pricing tiers to position the decoy optimally
- Adjust decoy price upward to reduce its attractiveness relative to target
- Change feature gap between decoy and target to increase perceived value differential
- Remove the decoy as a control — measure whether plan distribution changes
This is one of the higher-ROI A/B tests available on a pricing page. For testing methodology, see A/B Testing Best Practices.
Frequently Asked Questions
What is the decoy effect in pricing?
The decoy effect (also called the asymmetric dominance effect) occurs when adding a third, strategically inferior option to a choice set causes people to prefer one of the original two options — typically the more expensive one. The 'decoy' is designed to be clearly worse than one option (making it look dominant) while being similar in price, steering buyers toward the target option.
What is a real-world example of the decoy effect?
The classic example is magazine subscriptions (from Dan Ariely's research): (A) Online only — $59, (B) Print only — $125, (C) Print + Online — $125. Option B exists only to make C look like exceptional value. Without B, most people chose A. With B, most chose C. The decoy (B) made C appear dominant by comparison. SaaS pricing tables use this constantly — a mid-tier plan is often designed to push buyers toward the highest tier.
How do I use the decoy effect on my pricing page?
Design a three-tier pricing structure where the middle tier is the decoy: price it close to the premium tier but with noticeably fewer features. This makes the premium tier look like a bargain. Alternatively, create a 'starter' plan that's only slightly cheaper than the recommended plan but significantly less featured — steering buyers upward. Always A/B test decoy configurations, as the effect magnitude varies by audience and product type.