Loyalty Program Statistics

The retention economics everyone cites — and what they actually claim

Two findings underpin almost every loyalty pitch. The first is from Bain & Company, whose often-cited research found that a 5% increase in customer retention can increase profits somewhere in the range of 25% to 95%, depending on the business. That is an enormous range, and the width is the point: the effect is real and large, but it varies hugely by industry, margin structure and how loyal customers behave over time. Quoting the top of the range as if it were a guarantee is where the stat gets abused.

The second is the acquisition-versus-retention comparison popularised through Harvard Business Review and related work: acquiring a new customer is commonly reported to cost something like five to twenty-five times more than retaining an existing one. Again, that is a range spanning industries, not a fixed multiplier. What both findings genuinely establish is directional and robust — keeping customers is cheaper than replacing them, and small improvements in retention compound. The exact multiplier for your business is something only your own numbers can tell you.

Enrolment is easy; engagement is the hard part

The most consistent theme across published loyalty research is the gap between how many programs people belong to and how many they actually use. Industry surveys year after year report that the average consumer is enrolled in a large number of loyalty programs but active in a much smaller fraction of them. The precise counts move around between studies and markets, so treat any single figure with caution, but the pattern is stable and worth internalising.

The lesson for a small business is uncomfortable and useful: a signup is not a win. Enrolment numbers are the easiest metric to inflate and the least predictive of revenue. A program with fewer members who visit more often beats a program with a big list that nobody engages with. If your reporting celebrates enrolments and ignores repeat-visit rate, you are measuring the wrong thing.

Redemption is where programs quietly succeed or fail

Redemption rate — the share of issued points or rewards that customers actually cash in — is one of the more revealing loyalty metrics, and one of the more variable across published sources. Point-based programs consistently see meaningful portions of issued value go unredeemed, which is both a saving on paper and a warning sign in practice.

A low redemption rate is not free money. It usually means the reward threshold is too high to feel achievable, so customers never change their behaviour to reach it. The program then functions as an accounting liability that produces no loyalty. The healthier pattern, reported across the industry, is a reachable first reward that customers experience early, which is why the direction of the redemption data matters more than any single percentage.

What consumers say they want from loyalty programs

A caution on how to read any loyalty statistic

Most loyalty statistics are produced by companies that sell loyalty software, including this one. That does not make them false, but it means the framing tends to favour the product. When you see a precise, dramatic figure — "programs increase revenue by exactly X%" — with no named source, treat it as marketing, not data.

The findings that survive scrutiny are almost always ranges or directions: retention is more profitable than acquisition, engagement matters more than enrolment, reachable rewards outperform aspirational ones. Those are useful for making decisions. A suspiciously specific number with no citation is useful only for filling a slide.

What a coalition model changes about the math

The retention statistics above assume a single-merchant program, where every customer you retain is one you brought in yourself. A coalition model — where a network of merchants share one points currency, as Sopoints does across its network of Canadian merchants — changes the inputs to that math in a way the standard stats do not capture.

In a coalition, a share of your enrolled customers arrive already holding a balance earned elsewhere, so part of your acquisition happens through the network rather than your own marketing spend. That shifts the acquisition-cost side of the retention equation, at least for some of your customers. The honest trade-off is on the redemption side: value you issue can be redeemed at another merchant, and you honour value issued by others. The retention research still applies — keeping customers is still cheaper than replacing them — but a coalition redistributes where acquisition and redemption costs land. We are not going to invent a figure for that effect, because it depends entirely on your traffic mix and the network around you; the qualitative direction is what is defensible.