Gitnux/Report 2026

Discount Statistics

Online retail is projected to hit $6.3 trillion in 2024, but that growth runs straight through what discounts actually do to behavior, from cart abandonment driven by high delivery fees to 73% of shoppers checking reviews before buying. See why personalized offers can lift loyalty, how bundle and subscription promos raise average order value, and where promo fraud and discount abuse derail campaigns, so you can set deals that convert without costing you.
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2 mo agoUpdated
Discount Statistics
Verified via a 4-step process
01Source

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Verify

Each statistic is independently verified via reproduction analysis and cross-referencing against independent databases.

03Grade

Figures are graded by cross-model consensus. Statistics failing independent corroboration are excluded regardless of how widely cited.

04Cite

Every figure carries a primary source. We maintain stable URLs and versioned verification dates so the report can be cited.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

Next review Nov 2026
Discount data is getting sharper, not smaller. Online retail is projected to hit $6.3 trillion in 2024, yet shoppers still abandon carts when delivery fees climb and almost everyone checks reviews before buying. Let’s connect the dots between personalization, promo fraud, and conversion behavior so you can see which discount tactics actually move revenue and which quietly leak it.

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.

01 · Category

Market Size3 stats

01
Online retail sales are projected to reach $6.3 trillion in 2024
02
22.7% of all retail sales were conducted online in 2023
03
The global e-commerce market reached $7.4 trillion in 2023 (including wholesale and retail categories)
Interpretation

Market Size Interpretation

From a Market Size perspective, the market is expanding fast as online retail is forecast to hit $6.3 trillion in 2024 and already accounted for 22.7% of all retail sales in 2023, while global e commerce reached $7.4 trillion in 2023 including both wholesale and retail.

02 · Category

Customer Behavior6 stats

01
73% of shoppers say they are more likely to shop with a retailer if they receive personalized discounts
02
42% of consumers report they have abandoned an online shopping cart because delivery fees were too high
03
77% of consumers say they check product reviews before making a purchase
04
39% of US consumers said coupons were the reason they switched brands in 2023
05
31% of consumers say they look for promo codes before making an online purchase
06
In 2023, 18% of US shoppers used retailer subscription discounts
Interpretation

Customer Behavior Interpretation

From a Customer Behavior perspective, shoppers clearly respond to incentives and friction points, with 73% more likely to shop when discounts are personalized and 42% abandoning carts when delivery fees feel too high.

03 · Category

Category Economics5 stats

01
Discount code abuse accounted for 38% of observed promo fraud attempts in 2023
02
The average discount offered in US online apparel was 25% in 2023
03
Discount depth of 20–30% was associated with the highest conversion rates in US e-commerce experiments
04
Dynamic discounting can reduce inventory holding costs by 10–20% in retail simulations
05
A 2017 study in Marketing Science found that monetary discounts can increase purchase probability but may reduce long-term profit due to increased price sensitivity
Interpretation

Category Economics Interpretation

From an economics perspective, the data suggests that while deeper discounts often boost short term behavior, with US conversion peaking when offers land around 20–30% and discounts as large as 25% being common, the payoff can fade economically because promo fraud driven by discount code abuse reached 38% of attempts in 2023 and prior research links monetary discounts to weaker long term profitability.

04 · Category

Performance Metrics7 stats

01
Email marketing ROI averaged $36per $1 spent in 2023
02
The average email click-through rate was 2.5% in 2024 (US)
03
Mobile conversion rates were 1.9% for e-commerce in 2024 (global benchmark)
04
Average e-commerce cart abandonment rate was 70% in 2024
05
In 2023, US consumers reported using buy-now-pay-later on 15% of purchases in a typical month
06
Retailers report an average 2.1x increase in average order value when bundle discounts are used
07
A 2020 peer-reviewed study found that loyalty-program discounts can increase customer retention by about 5 percentage points
Interpretation

Performance Metrics Interpretation

Performance metrics show strong upside from smarter discounting, with email ROI averaging $36 per $1 spent in 2023 and retailers seeing a 2.1x lift in average order value from bundle discounts.
Reference

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.

APA
Karl Becker. (2026, February 13). Discount Statistics. Gitnux. https://gitnux.org/discount-statistics
MLA
Karl Becker. "Discount Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/discount-statistics.
Chicago
Karl Becker. 2026. "Discount Statistics." Gitnux. https://gitnux.org/discount-statistics.