Psychological Pricing: Strategies and Examples
Psychological pricing uses price presentation to influence how buyers judge an offer’s value and affordability: the written price, its reference point, and the surrounding comparisons contribute to its interpretation, as explained in OpenStax’s discussion of pricing psychology.

The familiar forms include odd-even price endings and bundles of products sold together, both covered in OpenStax’s pricing strategies. When choosing a tactic, identify what the displayed offer asks buyers to compare: the amount itself, a reference price, the available alternatives, or the terms of a promotion.
Charm pricing and the left-digit effect
Charm pricing, also called just-below pricing, sets an amount immediately below a round figure, with examples including $2.99 versus $3.00 and $59.95 versus $60.00 in a meta-analysis of just-below prices.
The left-digit effect concerns the weight placed on earlier digits: a study described in the review’s discussion of digit changes found that $2.99 was perceived as lower in magnitude than $3.00, while the $3.59 versus $3.60 comparison did not produce that difference.
Across 69 studies, the pooled findings showed a small average increase in purchase decisions, no average effect on perceived product quality, and substantial variation; corrections for publication bias suggested smaller and sometimes nonsignificant effects.
There is also evidence from actual selling: Eric Anderson and Duncan Simester reported higher demand with nine-dollar endings in three field experiments, with stronger effects on new items and some evidence of weaker effects alongside sale cues in their field-study abstract.
For an initial experiment, compare a boundary ending with its adjacent round price. Record the amount charged in each version, since changing the ending also changes revenue per sale. Keep other promotions stable so the comparison addresses the price question being tested.
Round prices and prestige pricing
Odd-even pricing also includes round endings: OpenStax’s account of odd-even pricing uses $50.00 to illustrate the even-price approach and describes its use with luxury products to suggest higher quality.
Prestige pricing concerns the quality or status associated with a high price; OpenStax’s discussion of perceived value describes those associations. Evaluate the price level and the written ending separately when considering a premium positioning.
Evidence for a broader rule linking rounded prices to emotional purchases is less settled: a preregistered replication with 588 participants did not reproduce the proposed interaction between price roundedness and emotional or cognitive context. This tested one original study; interpret the finding within that scope.
For a premium offer, compare the endings directly and include product evaluation among the outcomes. Treat the desired quality impression as a question to investigate, rather than assuming that a zero ending creates it.
Anchoring and reference prices
Price anchoring uses a number as a reference for evaluating another price; OpenStax’s documented example describes Apple’s 2010 iPad introduction, when a potential $999 price appeared before the announced starting price of $499. The example documents the presentation without measuring its effect on purchases.
A former price, a competing product’s price, and the price of a higher-specification option answer different comparison questions. Label the reference explicitly: an earlier asking price concerns price history, while another product’s price concerns the alternatives available now.
An important research limitation is the distinction between stated valuations and decisions with payment consequences: a consumer-goods study comparing those conditions found substantial, significant effects from irrelevant anchors in hypothetical valuations, but not in its incentivized valuation conditions. Interpret this result in terms of the tested anchors and valuation procedure.
For former-price claims, Section 233.1 of the U.S. FTC guides distinguishes a genuine price regularly offered for a reasonably substantial period from a fictitious inflated reference; actual sales are not always necessary to establish a former asking price.
Wording that says an item was formerly sold at the reference price requires substantial sales at that price under the same guide. Check whether the proposed wording refers to an asking price or an actual selling price.
Keep the reference label, product specification, and price record together when evaluating a sale presentation. These U.S. guides address one jurisdiction; check the requirements applicable to the advertised market.
Decoy pricing and the compromise effect
Decoy pricing changes the comparison set by adding an alternative that is inferior to a target option on the relevant attributes; the attraction effect occurs when that addition increases the target’s attractiveness or choice probability, as described in Itamar Simonson’s research.
The compromise effect concerns an option gaining choice share when it becomes an intermediate alternative between the extremes; Simonson’s experiments found support for this effect as well as the attraction effect.
A compromise occupies an intermediate position on the compared attributes; a decoy provides a dominance comparison. For a product range, show the actual differences in quantity, specification, service, and commitment alongside the prices. In a test, record the choice of every option and whether a purchase occurred at all, rather than treating a shift toward one option as the entire outcome.
Free offers and the zero-price effect
The zero-price effect describes a response to making an item free beyond simply subtracting the reduced cost from its benefits: in experiments that preserved the price difference between two products, making the cheaper option free shifted more choices toward it and fewer toward the expensive option.
The reported effect concerns product selection. For a giveaway, evaluate the cost of the free item, fulfillment, and the paid purchases associated with the offer before deciding whether to retain it.
The scope of the zero also needs to be clear: FTC guidance on free claims says a free offer tied to another purchase should disclose its conditions conspicuously, with important cost terms near the advertised price, and the purchased product’s price should not be increased from its regular price to fund the offer.
Identify the exact item or service offered at zero price. State any purchase requirement, delivery charge, minimum order, or later payment alongside the offer so the displayed promotion can be evaluated against the transaction it requires.
Bundle pricing and discounts
Bundle pricing offers multiple products together; OpenStax’s explanation describes meal bundles as an example of comparing a combined offer with the items bought individually.
Evaluate a bundle using the included quantities, current separate prices, and total bundle charge. Show those terms when claiming a saving. Compare the full purchase cost as well as any per-item equivalent, and assess whether the included items fit the purchase being considered.
For percentage discounts, calculate the reduction from the stated comparison base:
Discount percentage = (reference price - current price) / reference price × 100
This is an arithmetic calculation; establishing the reference price remains a separate evidence question. For a former-price promotion, check the price history against the FTC’s former-price comparison guidance.
Advantages and limitations
Different studies have documented different possible advantages: price endings affected demand in field studies, the comparison set affected option selection in choice experiments, and free products gained appeal in zero-price experiments.
Keep results labeled by what was actually measured: perceived magnitude, stated willingness to pay, purchase behavior, or the share choosing an option. The study contrasting hypothetical and incentivized valuations documents a change in the anchoring result across measurement settings.
Revenue and profit need separate evaluation: profit equals total revenue less total costs in OpenStax’s profit equation. Include discounts, giveaways, and fulfillment costs when comparing the financial results of offers.
How to choose and test a psychological pricing strategy
Use the comparison being changed to define the initial test:
| Pricing question | Suggested comparison | Outcomes to record |
|---|---|---|
| Does a boundary ending improve the offer? | Just-below price versus adjacent round price | Completed purchases and net revenue |
| Does a round ending suit the positioning? | Alternative endings with consistent product information | Purchases and product evaluation |
| Does a reference price help the decision? | Current price alone versus current price with a documented, labeled comparison | Purchases and understanding of the reference |
| How does the range affect selection? | Comparable option sets with explicit attribute differences | Total purchases and selection of each option |
| Is a free extra worthwhile? | Paid offer alone versus the same offer with the stated free extra | Purchases and the cost of the promotion |
| Does a bundle improve the offer? | Separate purchase versus a clearly specified bundle | Purchases, revenue, and fulfillment costs |
For a useful evaluation:
- Define the question and success measure before collecting results. Choose the specific ending, comparison, or offer to evaluate and identify the financial outcome that would justify keeping it.
- Keep the comparison interpretable. Hold product information, availability, and other promotions stable where possible. Record any change in the amount paid as well as any change in presentation.
- Compare equivalent groups and periods. Use random assignment where feasible, apply consistent conditions, and record the number of people exposed to each version.
- Measure completed purchases and costs. Report purchase rate, order value, net revenue, and the relevant fulfillment or promotion costs. Keep survey preferences separate from payment behavior.
- Check the price information. Verify the amount charged, the reference label, bundle contents, and all conditions attached to a free offer. Record returns or complaints alongside the purchase results.
- Report uncertainty. Include the sample size, observation period, and range of plausible results. Extend an inconclusive comparison instead of declaring a winner from a small apparent difference.