The decoy effect: the offer nobody picks but that makes the sale

In a pricing table, every plan seems to exist to be chosen. That's wrong: some exist to make people choose the others. The most famous example remains The Economist's subscription offer, popularized by Dan Ariely: web only at $59, print only at $125, print + web at $125. Nobody takes print only — and that is precisely its function: next to it, the complete plan at the same price becomes self-evident. This mechanism has a name, the decoy effect, and forty years of scientific literature.

The founding study: asymmetric dominance

In 1982, Joel Huber, John Payne and Christopher Puto published “Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis” in the Journal of Consumer Research. Their finding contradicts a central axiom of rational choice theory: adding an option should never increase the share of an existing option. Yet that is exactly what they observed. When you add an asymmetrically dominated alternative — inferior in every way to option A, but not clearly inferior to option B — A's choice share rises. The decoy doesn't sell; it provides a comparison point that makes A objectively “win” at least one duel, and that local victory is enough to steer the overall decision.

The deep reason is that we rarely evaluate an offer in the absolute: we compare what is comparable, and an option that visibly dominates another provides an easy justification — “this one is objectively better” — which spares us a full analysis of the table. That need for easily stated reasons is the same spring as the compromise effect described in our article on the three-plan pricing table.

Decoy, compromise, anchoring: three effects not to confuse

• The decoy effect adds a dominated option (worse than the target in every way) to make the target win by direct comparison.
• The compromise effect places the target in the middle of two extremes: it wins by seeming reasonable, not by dominating — see our dedicated article on the middle option.
• The anchoring effect plays on order and the first value seen: a high price shown first makes the following ones feel gentler, a mechanism detailed in price anchoring.

The three often combine in a single table — an anchoring premium, a compromise middle plan, a decoy that locks it in — but each has its own operating condition, and stacking them without logic mostly produces confusion.

Building an honest decoy on a landing page

The decoy applies whenever your page presents several plans — coaching offers, digital product tiers, packaged services. The recipe fits in three constraints:

1. The decoy must be dominated by the target, not by the whole table. Typically: a price close to the target for markedly less content (the Economist's print-only plan), or the same content with one extra constraint. If every plan crushes it, it becomes absurd and triggers suspicion.
2. The decoy must remain a real, purchasable offer. Someone will occasionally pick it — it must be honored without reservation. A fictitious or deliberately sabotaged offer crosses into manipulation.
3. Three options, rarely more. The decoy works within a readable choice; beyond that, you're back in the overload described by the paradox of choice.

A concrete example for a course creator: course alone at €490, course + 3 coaching sessions at €790, and a decoy “coaching only, 3 sessions” at €690. Coaching alone at €690 makes the €790 bundle obvious — €100 more for the entire course — and its presence serves a real minority demand. Every plan remains defensible on its own: that's the criterion separating choice architecture from a trap.

The red line: choice architecture or manipulation

The decoy effect is a powerful bias, hence a tool to handle with rules. A decoy that helps compare real offers is legitimate choice architecture; a phantom option, a fictitious crossed-out price or a plan impossible to buy belong to dark patterns — with the legal and reputational risks that follow. The simple test: if a customer picks the decoy, are you comfortable delivering it? If the answer is no, it's not a decoy, it's a lie.

Checking that your decoy works: the A/B test

The effect is robust in the lab but its magnitude varies in real contexts — product category, audience familiarity, price gaps. The only validation is experimental: compare the two-plan table against the three-plan table (with decoy) on revenue per visitor, not just on the distribution of sales. The full method is in our A/B testing guide, and its low-traffic alternatives in testing without enough traffic. Round it out with the other price-perception levers — 9-ending prices, presentation and plan order — for a table coherent end to end.

On the implementation side, the LanderKit templates that include a pricing section — notably Training (demo), Coach & Consultant (demo) and Ebook (demo) — are structured to host two or three plans with a highlighted target: all that remains is deciding what each column is meant to win.