Gender differences in coupon behavior are smaller than age differences but follow a consistent directional pattern across most measures.
Reverse Checkout Gap
+11pt
Men (61%) vs. women (50%) who paid full price then found a code
Code reliability (more reliable)
+11pt
Men (26%) vs. women (15%) who say codes feel more reliable
Bought at full price post-failure
+7pt
Men (41%) vs. women (34%)
Deliberate-intent belief
+6pt
Men (53%) vs. women (47%) who think retailers make codes harder to use
Partial failure rate
+7pt
Men (19%) vs. women (12%) who got smaller-than-expected discount
Abandonment
≈0pt
Women (25%) vs. men (24%) — nearly identical
1 · Code usage — % tried a code in past 60 days
Used a promo code in past 60 days +4pt gap
Code-seeking style — habitual searchers, checkout-triggered, passive recipients, non-users — is nearly identical across genders.
2 · Failure rate — among code users
Overall failure rate +3pt gap
Partial failure — discount smaller than expected +7pt gap
Full failure — code didn't work at all +4pt gap
Men are more likely to receive a smaller-than-expected discount. Women are slightly more likely to experience total code failure.
3 · Post-failure behavior
Bought at full price anyway +7pt gap
Abandoned the purchase ≈even
The largest post-failure behavioral gap is men buying at full price anyway (+7pt). Abandonment is nearly identical across genders.
4 · "Do retailers intentionally make codes harder to use?"
Yes — believe retailers do this deliberately +6pt gap
Never thought about it +9pt gap
Reduced brand trust after failure ≈even
Women are more likely to have never considered whether retailers make codes harder to use (+9pt). Brand trust erosion after failure is nearly identical (~26% both genders).
6 · Code reliability perception vs. 1–2 years ago
More reliable now +11pt gap
Less reliable now +3pt gap
Men are significantly more likely to perceive codes as more reliable (+11pt). Women trend slightly toward "less reliable" and "about the same."
Context
Gender differences in coupon behavior are smaller in magnitude than age differences but follow a consistent directional pattern: men skew higher on most engagement measures — usage, failure rate, post-failure full-price buying, deliberate-intent belief, and the Reverse Checkout Gap.
The two largest gaps in the dataset are tied at 11 points each: the Reverse Checkout Gap (men 61% vs. women 50%) and the perception that codes feel more reliable now (men 26% vs. women 15%).
Abandonment rates after code failure and brand trust erosion are the clearest examples of near-parity: neither measure shows a meaningful gender difference.