Amplitude: Product Analytics Guide
Amplitude is the product analytics platform that lets you understand user behavior in real time. Learn how to set it up, what metrics to track, and how to...

The anchoring effect (anchoring bias) is the tendency to rely too heavily on the first piece of information received when making decisions. Described by Amos Tversky and Daniel Kahneman in 1974, it is one of the most studied cognitive biases and one of the most widely exploited in marketing and pricing.
The classic example: if someone asks you "Is the population of Uruguay more or less than 30 million?" and then asks you to estimate the actual population, your answer will be closer to 30 million than if the first question had mentioned 3 million. The first number — the anchor — shapes your estimate, even though it's completely arbitrary.
In digital conversion, the anchoring effect determines how users perceive prices, discounts, plans, and any numerical data on your website.
The most direct application is showing the original price crossed out next to the discounted price. The original price is the anchor: it makes the final price look like a bargain by comparison. A product at €79 seems expensive in isolation, but "€149 €79" is perceived as a 47% saving.
On pricing pages with three plans, the most expensive plan serves as the anchor. If the plans cost €9, €29, and €99, the €29 plan feels reasonable compared to €99. Without the premium plan, €29 would be compared against €9 and feel expensive.
This principle works alongside the decoy effect: adding a strategic option that makes the one you want to sell look more attractive.
When presenting performance data, order matters. "Our clients increase conversion by 35% on average" anchors the expectation at 35%. If you later mention that some have reached 50%, it feels exceptional. If you mention that others have reached 15%, it feels like the floor. The same figure (15%) is perceived completely differently depending on the anchor.
In eCommerce, a product's price is always evaluated in context:
If the crossed-out original price is excessively high, users detect the manipulation and lose trust. The anchor must be credible: a 20–40% discount is persuasive; a 90% discount raises suspicion.
Displaying a price with no reference anchor leaves the user comparing it to competitors or their own mental budget. Always provide a frame: original price, value generated, cost per unit, or comparison with alternatives.
Be careful with the data you present first. If your case study page opens with "the client had a 0.5% conversion rate," users anchor on that low number. Start with the result instead: "We increased conversion by 150%" — then add context.
The anchoring effect isn't limited to the web. In commercial proposals:
| A/B test | What it measures | Expected impact |
|---|---|---|
| With vs without crossed-out price | Anchoring effect on price | +5–15% conversion |
| Plan order (expensive→cheap vs cheap→expensive) | Anchoring effect on pricing | +8–12% middle plan selection |
| Impact stat in hero vs no stat | Anchoring effect on value perception | +10–20% scroll depth |
The anchoring effect is one of the most powerful and easiest-to-implement principles in digital conversion. The first number a user sees shapes everything that follows. Use it deliberately in pricing, landing pages, and product pages to frame your offer favorably.
To identify anchoring opportunities on your website, start with a professional CRO audit.
Adrià Vidal — CRO & Digital Strategy at Boost
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