Which Generation Uses Promo Codes the Most? (2026 Survey Data)

The average U.S. online shopper: 59% tried a promo code in the past 60 days, 35% of those code users saw it fail, and half of all shoppers believed retailers make codes harder to use on purpose. But "the average shopper" doesn't really exist. Break the same questions out by age, and the picture splits apart: usage swings by more than 20 points between the most and least active generations, failure rates nearly double between the worst-off and best-off age groups, and the type of failure shoppers run into changes depending on how old they are.

This is a deeper look at the age-band data from our Coupon Statistics 2026 study — a survey of 1,463 U.S. online shoppers fielded in April 2026 by SimplyCodes. Where the main report covers the full shopper population, this piece isolates what changes, generation by generation: who uses codes most, who runs into trouble most often, what kind of trouble it is, and how each age group reacts when a code doesn't work.

In broad generational terms, that breaks down roughly as 18-24 (Gen Z), 25-34 (the Gen Z/millennial cusp), 35-44 (millennials), 45-54 (Gen X), 55-64 (the Gen X/boomer cusp), and 65+ (boomers) — though generational cutoffs vary by source, so the tables below stick to the actual age bands surveyed.

How promo code usage changes with age

Usage doesn't fall off in a straight line as shoppers get older — it holds up surprisingly well through middle age before dropping sharply. The top two groups, 35-44 and 18-24, are within two points of each other, and 45-54 isn't far behind. The real break comes between 45-54 and 55-64: a 12-point drop that's the single steepest decline anywhere in the age curve. By 65 and up, fewer than half of shoppers had used a code in the prior two months.

One wrinkle worth calling out: 25-34 sits lower than both the 18-24 and 35-44 bands on either side of it, rather than landing in between them — not a simple story of "younger equals more engaged."

Which age group has the highest promo code failure rate?

Failure rate declines steadily with age, and the spread is wide: shoppers 25-34 fail at nearly double the rate of those 65 and older. That's a notable pairing with the usage data above — 25-34 isn't even the most frequent code-using group, yet it's the one running into the most trouble. This may not just be a volume story: something about how younger and middle-aged shoppers shop, or what they're shopping for, may be making the codes less reliable for them specifically.

This gap gets sharper once gender enters the picture: men in the 25-34 band see failure rates climb even higher, to 45%, making this age group the epicenter of the reliability problem in the full dataset. It also sets up a pattern that shows up further down in the Reverse Checkout Gap section, where 25-34 shows up again at the top of the list — the same age band that fails most often is also the one most likely to find a working code only after already paying full price.

How coupon codes fail, by age

Figures reflect the share of all respondents in each age band, not just those who tried a code or experienced a failure.

The type of failure shoppers run into shifts meaningfully with age, in ways the headline failure rate doesn't capture. Hidden restrictions are the clearest generational story here: they hit 18-24 year-olds at 40%, about two-thirds higher than the rate reported by shoppers 65 and older (24%), and the rate declines in a near-straight line as age goes up. Younger shoppers appear to be finding codes faster than they're reading the fine print attached to them.

The "new customers only" failure follows a similar downward slope with age — 28-29% for every group under 45, dropping to just 15% for 65+. That's consistent with a simpler explanation: younger shoppers are more likely to still be new customers at a given retailer, so they run into new-customer-gated codes they don't actually qualify for more often.

Expired codes tell a different story. Rather than tracking cleanly with age, the rate is fairly flat across most groups — until 45-54, which spikes to 43%, the highest of any cohort. That's an outlier, not part of a tidy age trend: something specific to that band, not a generational pattern, appears to be driving it.

What each generation does when a promo code fails

18-24 year-olds top every single behavior in this table — they're the most likely to buy anyway, the most likely to abandon, the most likely to defect to a competitor, and the most likely to come back later. That's a different kind of finding than the sections above: younger shoppers don't just react a particular way to failure, they react more, across the board, in every direction at once. Older shoppers settle into one or two dominant responses; younger shoppers spread their reactions across all of them.

Abandonment is the one row that barely moves with age — every group lands between 23% and 30%, a much tighter band than the other three behaviors. Whatever makes someone walk away from a purchase entirely doesn't appear to be generational; it's close to a constant.

The "left for a competitor" row has a genuine outlier: 55-64 drops to 12%, well below the surrounding age bands on either side (21% and 17%). That's not part of a smooth age gradient. It's a dip specific to that cohort rather than a broader "older shoppers switch less" pattern — 65+ actually ticks back up to 17%.

Do shoppers think retailers are making promo codes more difficult?

Belief that retailers deliberately complicate promo codes clears 50% in every age group under 55, peaking at 57% among 35-44 year-olds — the same cohort that uses codes most and, per the verification-tool numbers later in this piece, wants a fix for it most. The suspicion and the demand for a solution appear to travel together.

The 65+ row needs a careful read rather than a flat "older shoppers trust retailers more." Their "yes" rate does drop to 42%, but their "no" rate is actually the lowest of any group (15%) — the real difference is that 44% have never considered the question at all, about a third higher than the next-highest group. This is a cohort that hasn't formed an opinion, not one that's actively decided retailers are acting in good faith.

25-34 stands out on the other end: it has the highest outright "no" rate in the table at 33%, even though its "yes" rate is roughly in line with the other under-55 groups. That's the most polarized age band here — more of its shoppers have landed firmly on one side or the other, with the smallest share sitting on the fence (15% never thought about it, the lowest of any group).

Retailer switching and the Reverse Checkout Gap, by age

Both columns fall off with age, but they peak in different places, and the split is telling. Retailer switching is highest among 18-24 year-olds (64%) — the group most willing to walk away entirely if a competitor has a working code. The Reverse Checkout Gap peaks a bracket later, with 25-34 year-olds (66%) — the same age band flagged earlier as carrying the highest failure rate overall. That's consistent: a shopper who already struggles to get codes to work at checkout is also the one most likely to discover, after the fact, that a working code existed all along.

Both measures drop sharply once shoppers hit 55 and stay low through 65+, tracking the same steep falloff in usage seen at the top of this piece. Shoppers who use codes less to begin with have fewer opportunities to either switch retailers over one or stumble onto one after paying full price.

Appetite for a coupon code verification tool, by age

The "definitely would use it" response peaks at 35-44 (46%) and is lowest among 65+ (29%) — the same cohort at both ends that shows up repeatedly through this piece: 35-44 as the most engaged and most suspicious group, 65+ as the least engaged.

But the broader demand signal holds up far better across ages than that top-line number suggests:

Even the least enthusiastic group, 65+, still lands at 76% combined demand. Interest in a code-verification tool isn't a young-shopper phenomenon that fades with age — it's a near-universal preference that only softens modestly at the older end, even as usage and failure rates diverge sharply everywhere else in this piece.

Are coupon codes getting better or worse by generation?

Shoppers aged 25-34 are the most likely of any group to say codes have gotten more reliable over the past year or two (31%). At the other end, 65+ shoppers overwhelmingly report no change at all (67%) — consistent with a group that, per the usage numbers earlier, engages with codes the least to begin with and so has the least basis for noticing a shift either way. The "less reliable" response holds fairly steady everywhere, in a 10-16% band regardless of age.

One genuine contrast closes this out: 25-34 leads the dataset on both highest failure rate and highest Reverse Checkout Gap rate, yet it's also the most optimistic age band that things are improving. Frustration with the current state and belief that the trend is heading the right direction aren't mutually exclusive here.

Methodology

This piece draws its age-band figures from the same dataset behind Coupon Statistics 2026: a survey fielded April 27, 2026 on the Alchemer platform, using a general population panel of U.S. online shoppers. Of 3,638 total responses collected, 1,463 complete responses (after removing disqualified and partial completions) form the analysis basis.

Because this piece is specifically about age, one disclosure from the parent study's methodology matters more here than it did there: the sample skews slightly older than the general U.S. online shopping population, with 65+ shoppers making up 22% of respondents against 18-24 making up 12%. Age-band percentages in this piece are directionally reliable and consistent with the parent study's own reporting, but readers should weigh the 65+ figures with that oversample in mind, and the 18-24 figures with the smaller base in mind.

Citation

SimplyCodes Research Team. (2026). Which Generation Uses Promo Codes the Most? Based on Coupon Statistics 2026: The State of Shopper Trust in Promo Codes (the SimplyCodes Checkout Gap Study). SimplyCodes / Product.ai Research. n=1,463.