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New Study Challenges Current Understanding Of U.S. Shopping Habits

Study of 1M+ orders shows U.S. e-commerce peaks at midday, not evening

Surebright has released new research shedding light on U.S. online shopping behavior. According to the study, shoppers are most likely to buy during a concentrated midday window (36%), not in the evenings (20%).  These findings challenge a core assumption behind how many e-commerce brands schedule marketing, staffing, and operations.

The white paper “When Do U.S. Shoppers Buy?” analyzed a sample data set of more than 1.1 million anonymized U.S. orders placed across SureBright’s merchant network over a 12-month period. The analysis found that over 36% of all daily U.S. e-commerce orders occur between 11:00 a.m. and 3:00 p.m. By contrast, the evening hours of 6:00 p.m. to 11:00 p.m., a period many merchants treat as peak time, account for fewer than 20% of daily orders.

“The evening shopping peak is a myth,” said Manish Chauhan, CEO, SureBright. “Our data shows U.S. buyers converting hardest between 11 and 3, and it isn’t close. Any merchant whose marketing calendar, staffing plan, or fulfillment cut-off still centers on 8 p.m. is losing sales before lunch is even over.”

Key findings include:
  • Midday dominates: Noon and 1:00 p.m. are the two busiest individual hours of the day, each accounting for 7.5% of daily orders. Together, the four-hour midday window (11:00 a.m. to 3:00 p.m.) generates over 36% of daily volume.
  • Mobile and desktop peak at different times: Desktop shopping peaks sharply at noon (8.3% of desktop orders), while mobile, which accounts for more than half of all orders at 50.4%, peaks later at 4:00 p.m.
  • Evening is the weakest major window: After 6:00 p.m., hourly order volume drops to 4.8% or less per hour, well below the noon peak of 7.5%.

The findings carry operational implications that go well beyond marketing. SureBright’s analysis recommends that merchants align customer service staffing, site performance infrastructure, and fulfillment cut-off times with the midday surge rather than anticipating an after-work rush that the data does not support.

The full white paper, including hourly distribution charts and device-level breakdowns, is available here.

 

See also: Understanding The New Federal Tariff Refund Program: What CE And Appliance Companies Need To Know

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