MarketingDUAL-USE

Loyalty Lock-In

What it is

Points, tiers, and status designed so that accumulated but unspent value, expiring balances, and threatened status make switching feel like a loss even when a competitor is cheaper.

How it works

A loyalty program converts a series of independent purchases into a single running account, and then makes that account feel like property. Three well-documented effects do the work. Endowed progress: Nunes and Drèze found that a car-wash card issued with two of twelve stamps already filled was completed far more often than a blank ten-stamp card, though both required ten purchases — an artificial head start creates a goal and a sense of investment. The goal gradient: Kivetz, Urminsky and Zheng showed that customers buy faster as they approach a reward, and schemes place tier thresholds and expiry dates so that a member is always “almost there”. Medium maximization: Hsee and colleagues found people will work for points that convert to nothing extra, because the points become the score. Add switching costs (Klemperer) and loss aversion over status — the airline tier that lapses if you fly elsewhere this year — and the customer's question shifts from “which is the best deal” to “what would I forfeit”. The scheme can then devalue quietly: more points per reward, shorter expiry, redefined tiers. Several airlines now report their loyalty programs as worth more than their flying.

Real-world examples

  • Delta's September 2023 SkyMiles overhaul, which tied status to spending and cut lounge access, provoked enough backlash that the airline partly reversed it within weeks — a rare public view of unilateral devaluation.
  • In September 2024 the US Department of Transportation ordered the four largest US airlines to report on how their programs devalue points, impose expiry, and change terms; the CFPB and DOT had held a joint hearing on rewards devaluation in May 2024.
  • Starbucks Rewards raised the stars needed for many free items in February 2023 (a free brewed coffee went from 50 to 100 stars), a devaluation applied to balances already earned.
  • Supermarket “member prices” that show a much higher non-member price, so shopping without the card — and without handing over purchase data — is framed as a penalty; the UK CMA reviewed loyalty pricing in 2024, found most member prices were genuine savings, and pressed for clearer presentation.

Ethical guidelines

Where the line is

A loyalty program is fair when its rewards are real, stable, and easy to redeem, so the customer stays because staying pays; it becomes lock-in when the design relies on breakage, expiring balances, moving thresholds, and status anxiety to keep a customer who would otherwise leave for a better deal.

  • Points are a liability owed to the customer; changing their value after they have been earned is a retroactive price rise and should be announced well ahead, with earned balances honored at the old rate.
  • Expiry rules exist to create breakage; either drop them or make them long, with clear warnings before a balance lapses.
  • A program should be worth joining on its stated terms, without the member price quietly depending on data the customer did not knowingly sell.
  • Tiers should reward past behaviour, not hold status hostage to next year's spend.

How to defend against it

  • Value points in cash before deciding: divide the price of the reward by the points it costs. If a point is worth a cent, 10,000 points are $100 — and a competitor $120 cheaper wins regardless of “status”.
  • Treat unspent balances as already gone for decision purposes (they are the sunk cost); ask only whether the next purchase is the best deal available today.
  • Spend points promptly rather than saving toward a large reward; devaluations and expiry hit hoarders hardest.
  • Read the change-of-terms clause before joining — most programs reserve the right to alter value at any time — and set a reminder before any balance expires.
  • Where two-tier pricing requires a card, use an alias e-mail for the program, and consider what purchase data you are paying with; in the EU you can request the data held and its deletion under the GDPR.

From the Defense Playbook

Every playbook entry states how strong its evidence is and when not to use it. Browse the full playbook.

References

  1. Nunes, J. C., & Drèze, X. (2006). The Endowed Progress Effect: How Artificial Advancement Increases Effort. Journal of Consumer Research, 32(4), 504-512
    The car-wash stamp-card experiment showing that an artificial head start raises completion rates.
  2. Kivetz, R., Urminsky, O., & Zheng, Y. (2006). The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention. Journal of Marketing Research, 43(1), 39-58
    Purchase acceleration as customers approach a reward, and the retention effect of perceived progress.
  3. Hsee, C. K., Yu, F., Zhang, J., & Zhang, Y. (2003). Medium Maximization. Journal of Consumer Research, 30(1), 1-14
    The finding that people pursue points as an end in themselves even when the points add nothing to the final outcome.
  4. Klemperer, P. (1987). Markets with Consumer Switching Costs. Quarterly Journal of Economics, 102(2), 375-394
    The economics of switching costs: firms can charge locked-in customers more than the competitive price.
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