Teardowns › Pricing & paywalls › Anchoring

Revolut prices each plan against a much bigger "worth £… a year" figure

Revolut · Pricing page · UK visitors (logged out) · revolut.com · captured 16 Oct 2026

Grey areaAnchoring Price & attribute framing

Revolut Pricing page, captured 16 Oct 2026 — Our capture, 16 Oct 2026, logged out. Numbers match the steps.

Step by step

1
Anchoring
Plus: "access more benefits like better limits and purchase insurance, worth £100¹ a year."
2
Ultra: "get over £9,000¹ in annual benefits like unlimited airport lounge access".
3
Price & attribute framing
"Standard Free · Plus £3.99/month · Premium £8.99/month · Metal £16.99/month · Ultra £60/month."

Prices quoted in pounds (£), exactly as shown on the page we captured. Prices vary by region and change over time.

The psychology

Why it nudges

Each monthly price sits next to a much larger annual "worth" figure, which anchors the value judgement high. The footnote marker signals the figures depend on terms. Five tiers in a row give plenty of comparison points. Whether the "worth" figures lift upgrades for Revolut is not public.

● Strong evidence · More on anchoring, with sources →

Context

A UK-regulated fintech app with free and paid plans. Prices in £ as captured on the UK site.

Honest nudge or dark pattern?

Grey area

Grey area: "worth" figures assume users would otherwise buy every benefit at full price; the footnote marker is small.

Sources: Captured by Nudgeswipe, 16 Oct 2026 (logged out)

Steal this, honestly

If you quote a "worth" figure, show how it is calculated on the same page.

What to test: "Worth £X" vs listing benefits only. Measure upgrades and benefit usage at 90 days.

Next: run it on your product

Apply this with your agent

Take the steps above into your own flow. The prompt carries this teardown, the honest-vs-dark line and the steps.

You are helping me apply a behavioural-design pattern ethically.

Pattern: Revolut: Revolut prices each plan against a much bigger "worth £… a year" figure
Bias: Anchoring: An initial number, even an irrelevant one, pulls later estimates towards it.
Why it nudges: Each monthly price sits next to a much larger annual "worth" figure, which anchors the value judgement high. The footnote marker signals the figures depend on terms. Five tiers in a row give plenty of comparison points. Whether the "worth" figures lift upgrades for Revolut is not public.
Our verdict: Grey area. Grey area: "worth" figures assume users would otherwise buy every benefit at full price; the footnote marker is small.
Source page: https://nudgeswipe.com/examples/revolut-plans-worth-in-annual-benefits/ (JSON: https://nudgeswipe.com/api/teardowns/revolut-plans-worth-in-annual-benefits.json)

Rules: say a brand "uses" a tactic, never that it "worked"; outcomes are not public unless the company published them; no invented uplift estimates; flag mixed evidence. Honest nudge = true, visible, easy to reverse, and in the user's interest. Dark pattern = hides costs, fakes scarcity or popularity, shames, or makes leaving harder than joining. Quote company-published results as "X reports", with the source link, and don’t generalise them. Don’t cite retracted or failed-to-replicate studies as support (e.g. Ariely & Wertenbroch 2002). Don’t state study figures unless they’re on this page or in a source you can link. If an idea crosses the line, link the matching deceptive.design pattern.

Tasks:
1. Ask me for my product, the flow (URL or screenshots) and the goal.
2. Audit where this pattern already appears, or could, in that flow.
3. Propose 2-3 ethical experiments: hypothesis, variant copy or UI, primary metric, and a guardrail metric (refunds, complaints, cancellations).
4. Flag every dark-pattern risk and say how to stay on the honest side.

Open in ChatGPT Open in Claude Open in Grok Open in Cursor

ChatGPT, Claude, Grok and Cursor open with the prompt filled in (it is also copied, in case the prefill doesn't load). Gemini and Codex don't support prefilled links, so the prompt is copied and the app opens; paste it in.

Sources

Our capture of revolut.com, 16 Oct 2026
Tversky & Kahneman (1974), Judgment under uncertainty: heuristics and biases. doi.org/10.1126/science.185.4157.1124
Captured by Nudgeswipe, 16 Oct 2026 (logged out): revolut.com

Related teardowns

economist.com

The Economist Pricing screenshot, captured 16 Oct 2026

Price & attribute framingHonest nudge

The Economist prices a year by the week, and preselects it

The Economist · Pricing · $ as captured

apple.com

Apple Product page screenshot, captured 16 Oct 2026

AnchoringGrey area

Apple anchors trade-in value at the top of a range

Apple · Product page · £ as captured

zapier.com

Zapier Pricing page screenshot, captured 16 Oct 2026

Price & attribute framingConditional

Zapier frames annual billing as 'Save 33%'

Zapier · Pricing page · $ as captured

5 new nudges, every Friday

Five real product and marketing moments, the psychology behind each, and one thing to try. Weekly issues start soon. Your email is stored with our email provider (Resend) and used only for this newsletter.