Anchoring Bias
Anchoring bias is the tendency to over-weight the first number a shopper sees. Used well on product and cart pages, it's one of the highest-leverage pricing-psychology levers in CRO.
Anchoring Bias
The cognitive tendency to over-weight the first piece of information seen when judging value or making a decision.
Anchoring bias describes how the first number, price, or option a shopper encounters disproportionately shapes every judgement that follows. The brain treats that initial reference point as the implicit baseline for 'fair' and quietly adjusts all subsequent evaluations against it — even when the anchor is arbitrary.
In e-commerce the anchors are everywhere: the strikethrough original price next to the sale price, the premium tier listed first in a three-plan grid, the free-shipping threshold displayed in the cart drawer. Each one nudges the perceived value of what comes next. Because anchoring operates pre-rationally, it works whether or not the shopper notices it, which is why it sits in the top tier of pricing-psychology levers alongside framing and decoy effects.
Anchoring belongs to the broader family of cognitive biases catalogued by Kahneman and Tversky in the 1970s. Their original experiments showed that even random numbers spun on a wheel of fortune influenced participants' estimates of unrelated quantities — the anchor didn't have to be relevant to bite.
On a Shopify product page the same mechanism is doing work for you. A €120 strikethrough next to a €79 sale price doesn't just communicate a discount — it tells the shopper that €120 is the 'real' value, making €79 feel like a gain rather than a cost. Remove the anchor and conversion almost always drops, even if the price itself is unchanged.
Perceived Discount % = (Anchor Price − Sale Price) / Anchor Price × 100
Anchor Price
Anchor price
The reference price shown first — typically the original or MSRP, displayed as strikethrough.
Sale Price
Sale price
The price the shopper actually pays.
An apparel store lists a knit sweater at €120 crossed out, with €79 as the active price.
Anchor Price: €120
Sale Price: €79
→ Perceived discount = 34.2%
The shopper reads this as a one-third saving against the 'real' price. Without the €120 anchor, €79 has no reference point and is judged in isolation — often perceived as more expensive, even though nothing about the offer has changed.
The size of the lift depends on where the anchor sits and how credible it looks. A strikethrough that's obviously inflated triggers reactance and hurts trust; an anchor close to the real market price boosts perceived value without setting off alarms. The table below summarises typical conversion or AOV lifts seen across common e-commerce anchor placements.
Typical lift from common anchoring tactics on Shopify and WooCommerce stores
| Anchor tactic | Where it appears | Typical CVR / AOV lift | Risk of backfire |
|---|---|---|---|
| Strikethrough original price | Product page, collection grid | +8% to +15% CVR | Low if anchor is credible |
| Premium tier shown first | Three-tier pricing or bundle page | +10% to +20% AOV | Low |
| Decoy mid-tier | Subscription or bundle selector | +5% to +12% AOV | Medium — needs clear differentiation |
| Free-shipping threshold anchor | Cart drawer, sticky bar | +6% to +18% AOV | Low |
| RRP / MSRP badge | Product page near price | +4% to +9% CVR | Medium — must be defensible |
| Compare-at price in ads | Meta / Google Shopping creative | +3% to +8% CTR | Medium — platform policy risk |
Treat these ranges as starting hypotheses, not guarantees. The same strikethrough that lifts conversion 12% on a beauty SKU can flatten on a considered-purchase electronics page where shoppers cross-shop the anchor on Google. The reliable pattern is to A/B test the anchor placement itself — order, prominence, and gap to the real price — rather than assuming the tactic transfers wholesale across catalogue and audience.
Anchoring bias FAQ
They're related but distinct. Anchoring sets a reference point that biases all subsequent judgements. The decoy effect uses a deliberately inferior third option to make one of the other two look better. A decoy works partly through anchoring, but anchoring doesn't require three options.
Yes — the effect persists even when shoppers are aware of it, which is why it's one of the most reliable pricing-psychology levers. Awareness reduces but does not eliminate the bias. Credibility of the anchor matters more than concealment.
It can. An anchor that's clearly fake triggers reactance and erodes trust, especially on considered purchases where shoppers cross-shop. Keep the anchor defensible — a real RRP, a prior season's price, or a verifiable MSRP.
Directly adjacent to the active price, with the anchor visually de-emphasised (smaller, strikethrough, muted colour). Separating the two by more than a line of copy weakens the comparison. Mobile especially needs the prices on the same row.
Both, but through different mechanisms. Strikethrough anchors mainly lift CVR by making the price feel like a gain. Tier-order anchors (premium first) and free-shipping thresholds lift AOV by reframing what 'normal spend' looks like.
Anchoring sits inside the broader cognitive biases family alongside loss aversion, social proof, and the framing effect. Most high-performing pricing pages stack two or three biases — for example, an anchor combined with scarcity and a free-shipping threshold.
Yes. Quantity anchors ('limit 12 per customer') lift units per order. Time anchors ('average install: 5 minutes') reduce friction perception. Quality anchors (showing the €300 SKU first in a collection) reframe what the €120 SKU feels like.
For tier selection, lead with the highest credible price to anchor upward, then mark the mid-tier as 'Most popular' to capture the gravitational pull. Leading with the cheapest option anchors shoppers downward and compresses AOV.
Run an A/B test that toggles the anchor presence or position — same price, different reference point. Watch CVR, AOV, and refund rate together: a lift in CVR with a spike in refunds means the anchor over-promised. Two to three weeks at typical Shopify traffic is usually enough.
Within limits. EU Omnibus rules require strikethrough prices to reference the lowest price in the prior 30 days, which constrains how aggressive the anchor can look. The bias still operates — you just have less room to widen the gap artificially.
Get an AI expert review of your site
Paste your URL — Metricuno's AI runs the same heuristic checks a senior CRO consultant would, scoring your page and prioritising the fixes that'll move conversion fastest.