LESSON
5.03

Loyalty and Switching - What really keeps a customer

"Loyalty" is one of the most comforting and most misleading words in marketing. It bundles together three very different things: love, habit, and having no real alternative. Most of what gets measured as loyalty turns out to be the last two.

WRITTEN BY
Mike Popesku
PUBLISHED
September 6, 2026

What the science says

Consensus

The single most important correction to common belief is that loyalty to one brand is rare; repertoires are the norm. In most everyday categories people are poly-loyal: they rotate through a handful of acceptable brands, buying each roughly in line with its market share, so a "switch" is usually just the normal rotation of a repertoire rather than a defection to be mourned by a company. This follows directly from the buying laws in L5-02, and it means the baseline expectation should be shared, promiscuous customers, not devoted ones.

The most useful conceptual tool is Dick and Basu's, which pulls apart two things the word "loyalty" jams together. Attitudinal loyalty is genuine preference and commitment, as in "you want this brand". Behavioural loyalty is simply repeat purchase, you keep buying it, whatever you feel. Crossing them gives four situations worth telling apart: true loyalty (you love it and buy it), latent loyalty (you prefer it but cannot buy it as often, blocked by price, access, or availability), spurious loyalty (you buy it repeatedly out of habit, convenience, or lock-in, with no real preference), and no loyalty (Dick and Basu, 1994). The practical payoff is that repeat purchase alone tells you almost nothing: you have to know why someone keeps buying before you know what, if anything, to do about it.

Against this sits the managerial tradition that treats loyalty as the master profit lever: retain customers rather than chase new ones, and one popular version reduces the whole thing to a single question, how likely are you to recommend us, the Net Promoter Score (Reichheld, 1996; 2003). It is intuitive, memorable, and has been enormously influential.

Controversies

The honest problem is that "loyalty" is doing too many jobs. Much of what dashboards celebrate as loyalty is spurious, habit and lock-in rather than devotion, or is simply double jeopardy in disguise, the mechanical fact that bigger brands show higher loyalty because they are bigger (L5-02). Reading either as proof that customers love you, and as a reason to pour money into retaining them, is a classic error.

The popular metric has taken direct hits too. When Keiningham and colleagues tested the Net Promoter Score against actual firm growth over time, it predicted no better than conventional satisfaction measures, undercutting the "one number you need" claim (Keiningham et al., 2007). And the whole retention-first doctrine collides with the penetration finding: for most brands in most categories, growth comes from acquiring more, lighter buyers, not from deepening the loyalty of existing ones.

None of this means loyalty never matters. In subscription, contractual, and high-switching-cost categories (telecoms, banking, software, insurance) retention economics are real and often dominant, and in premium and high-involvement categories genuine attitudinal loyalty does real work. The error is treating a doctrine built for those cases as a universal law for categories where repertoire buying rules.

Limitations

The strongest poly-loyalty evidence comes from frequently-bought categories and travels less certainly to durables and services. And the lock-in that produces spurious loyalty varies enormously by market: contract norms, switching regulations, and retail structure differ across countries, so how much "loyalty" is really lock-in is a local question, not a universal constant.

Open questions

How much observed loyalty across categories is genuine attitudinal commitment versus habit or lock-in? When does the retention-first logic actually beat the penetration-first logic, and can that boundary be drawn cleanly by category type?

So what

The usable core: assume customers are poly-loyal until proven otherwise, never read repeat purchase as devotion without asking why, and treat "loyalty" as a diagnosis to be made, not a virtue to be assumed.

For companies

Before spending a penny on "loyalty", diagnose which kind you actually have (Dick and Basu, 1994). If your repeat buyers are spuriously loyal, buying out of habit, convenience, or lock-in, a loyalty scheme mostly hands discounts to people who would have bought anyway, which looks like a retention win and is really a margin leak. If they are latently loyal, they want you but cannot get you, then the fix is availability and price, not more messaging. Only genuine attitudinal loyalty, real preference, is worth paying to deepen, and even then only where the category rewards it.

Watch the metrics with the same care. The dominant practitioner tool is the Net Promoter Score, popularised by Reichheld and the consultancy Bain as the "one number you need" (Reichheld, 2003), and it is fine as a cheap pulse-check as long as you remember two things: it predicts growth no better than ordinary satisfaction measures (Keiningham et al., 2007), and it flatters big brands simply for being big (double jeopardy, L5-02). Be equally hard-nosed about loyalty programmes. Sharp's How Brands Grow makes the uncomfortable case that most schemes are joined by a brand's already-heavy buyers and change little, so the honest test is the counterfactual: would these members have bought anyway (Sharp, 2010)? Run it against a holdout group rather than crediting the scheme with sales it did not cause. And match the doctrine to the category: retention-first genuinely pays in subscription and contractual businesses, while in repertoire categories growth still comes mostly from penetration (L5-02). The dual-use edge is quiet but real. A loyalty programme sold to the board as a growth engine, when it is actually subsidising behaviour that would have happened anyway, is a story that flatters everyone and grows nothing, and it corrodes trust the moment someone runs the numbers.

For political parties and institutions

The parallel to L5-01 holds: a "loyal base" is partly genuine commitment and partly habit and lack of alternative, and treating turnout of the already-committed as evidence of deep devotion, or pouring resources into it as if it were growth, repeats the marketer's error. Diagnose it with the same grid before you invest. A supporter who would feel wrong voting any other way is true loyalty worth sustaining. One who stays only because no credible alternative exists is spuriously loyal, and that support can evaporate the moment an alternative appears, which is exactly the misreading that leaves an established party stunned by a challenger.

For government and public services

Citizens often look intensely "loyal" to a public service they have no way of leaving, a single provider, a monopoly utility, a default scheme, but that is lock-in, not satisfaction, and reading it as approval is the classic spurious-loyalty error. The useful move is to measure genuine preference separately from mere continued use, because a service people stay with only for want of an alternative can hide deep dissatisfaction that surfaces the instant a choice appears. High usage is not a verdict on quality when there is nowhere else to go.

How to use this

Three habits. Treat switching as normal, most customers are poly-loyal, so a repertoire and a bit of churn is health, not disease. Before acting on "loyalty", ask why someone repeat-buys, love, habit, or no alternative, because the three demand opposite responses. And check the category: retention-first is right for subscriptions and contracts and usually wrong for repertoire categories, where reaching more buyers beats deepening the ones you have.

Why do they keep buying?

Four customers who all buy the same brand again and again. On the data they look identically "loyal". But watch what happens when you ask why. For each, pick the real reason.

Customer 1 of 4
Why do they keep buying it?

All four bought the brand again and again, so a loyalty dashboard would score them the same. But only one was truly loyal. The rest kept buying out of habit, being stuck, or not being able to get what they actually preferred (Dick and Basu, 1994).

That is why repeat purchase is not devotion, and why the diagnosis matters before you spend: a loyalty scheme aimed at the habitual and the locked-in mostly hands rewards to people who would have bought anyway, a cost dressed up as a retention win. The one who cannot get the brand they prefer does not need a reward at all, they need you to be available.

Before crediting "loyalty", always ask why. Love, habit, and lock-in look identical on a repeat-purchase chart and call for opposite responses.

Case studies

References