Key Takeaways
- Online retail sales are projected to reach $6.3 trillion in 2024
- 22.7% of all retail sales were conducted online in 2023
- The global e-commerce market reached $7.4 trillion in 2023 (including wholesale and retail categories)
- 73% of shoppers say they are more likely to shop with a retailer if they receive personalized discounts
- 42% of consumers report they have abandoned an online shopping cart because delivery fees were too high
- 77% of consumers say they check product reviews before making a purchase
- Discount code abuse accounted for 38% of observed promo fraud attempts in 2023
- The average discount offered in US online apparel was 25% in 2023
- Discount depth of 20–30% was associated with the highest conversion rates in US e-commerce experiments
- Email marketing ROI averaged $36 per $1 spent in 2023
- The average email click-through rate was 2.5% in 2024 (US)
- Mobile conversion rates were 1.9% for e-commerce in 2024 (global benchmark)
- Retailers are shifting promotions toward digital channels: 44% of US promotional spend moved to digital by 2023
Personalized digital discounts drive online sales, but high delivery fees and promo fraud still cost retailers.
Related reading
01 · Category
Market Size3 stats
Market Size Interpretation
02 · Category
Customer Behavior6 stats
Customer Behavior Interpretation
03 · Category
Category Economics5 stats
Category Economics Interpretation
More related reading
04 · Category
Performance Metrics7 stats
Performance Metrics Interpretation
05 · Category
Industry Trends1 stats
Industry Trends Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Karl Becker. (2026, February 13). Discount Statistics. Gitnux. https://gitnux.org/discount-statistics
Karl Becker. "Discount Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/discount-statistics.
Karl Becker. 2026. "Discount Statistics." Gitnux. https://gitnux.org/discount-statistics.
Sources & references
22 datasets cited across this report · attribution is report-level
+3 additional datasets cited (not shown individually)

