Anchoring
A cognitive bias where the first number or piece of information encountered disproportionately influences all subsequent judgments.
Anchoring is a cognitive bias in which the first piece of information encountered — the anchor — disproportionately influences all subsequent judgments and decisions, even when that anchor is arbitrary or irrelevant.
First documented by psychologists Amos Tversky and Daniel Kahneman in 1974, anchoring is one of the most reliable and commercially exploitable biases in consumer psychology.
How Anchoring Works
When a person encounters a number or value first, the brain uses it as a starting point and adjusts from there — but typically adjusts insufficiently. The result: final judgments remain biased toward the original anchor.
Classic experiment: Kahneman and Tversky spun a wheel of fortune (rigged to land on 10 or 65) and then asked subjects to estimate the percentage of African countries in the UN. Subjects shown the number 65 guessed significantly higher than those shown 10 — even though the wheel result was obviously random.
Applied to pricing: a visitor who sees “Was €1,200 — Now €799” perceives €799 as a bargain. A visitor who sees €799 with no reference price simply evaluates it in isolation.
Anchoring Applications in CRO
| Technique | Mechanism | Example |
|---|---|---|
| Strikethrough pricing | Original price anchors perceived value | |
| Tier anchoring | Premium plan anchors perception of value tiers | Show Enterprise first in pricing tables |
| Per-unit pricing | Lower per-unit cost anchors purchase size | ”€1.20/day” vs “€439/year” |
| Competitor comparison | Competitor’s higher price is the anchor | ”Agencies charge €5,000 for this. We charge €800.” |
| Social proof numbers | Large user counts anchor popularity | ”Join 127,000 marketers” |
| Loss framing | Cost of inaction as anchor | ”Businesses losing 3.2% CVR lose €X/month” |
Anchoring in Pricing Page Design
The standard pricing page mistake: displaying the cheapest plan first. This sets a low anchor and makes every higher tier feel expensive.
Higher-converting approach:
- Show your most feature-rich plan first (or center the recommended plan)
- Use a “Most Popular” or “Best Value” badge on the mid-tier
- Annual vs monthly: show annual savings prominently (“Save €480/year”)
- Competitor pricing table: include a comparison with your anchor as the reference
Research from pricing strategy firm Price Intelligently consistently shows that leading with the highest tier increases average plan chosen — because the highest plan becomes the reference point, not the exception.
Anchoring and A/B Testing Hypotheses
Strong anchoring-based hypotheses to test:
- Add a strikethrough price — show original vs current price on product pages
- Reorder pricing tiers — enterprise/highest first instead of cheapest first
- Add social proof numbers — quantify customers, results, or savings with specific figures
- Annual plan savings — show annual cost beside monthly to anchor value of committing
Each of these is a single-variable test with measurable revenue impact. For methodology, see A/B Testing Best Practices.
Frequently Asked Questions
What is anchoring in marketing?
Anchoring is a cognitive bias where people rely heavily on the first piece of information they encounter (the 'anchor') when making decisions. In marketing, this means the first price, number, or claim a visitor sees becomes the reference point against which all subsequent information is judged. A €999 product shown next to a crossed-out €1,499 price is perceived as a bargain — even if €999 was always the intended price.
How does price anchoring work on landing pages?
Price anchoring works by presenting a higher reference price before the actual price. Effective techniques: showing the original price crossed out next to a sale price, displaying the annual plan cost beside a monthly plan, showing per-unit price alongside per-pack price, or leading with your most expensive tier in a pricing table. The anchor sets the mental benchmark — everything cheaper feels like a deal relative to it.
What is the anchoring effect in A/B testing?
In A/B testing, anchoring means the first variant visitors see sets expectations that influence how they perceive the second. This is also why benchmark figures in social proof ('Join 50,000+ businesses') influence perceived quality — the large number anchors the impression of popularity. Test anchoring elements (price presentation, social proof numbers, comparison values) as high-priority hypotheses.