The usual advice names a magic hour for sending email, but the only numbers that actually hold up are industry open-rate benchmarks and quarterly retail sales figures, and neither one says anything about clock time at all.
Most advice on send time points to a specific hour, usually mid-morning on a Tuesday, as if one clock setting could fix open rates across every list. The published data does not support that claim. What the data does support is a sizable gap in open rate benchmarks between industries, and a separate, much larger gap between e-commerce sales growth and total retail growth. Neither one has anything to do with the hour a message goes out, and both are more useful to a retailer than another recycled claim about Tuesday mornings.
MailerLite’s published benchmarks put e-commerce open rates at 32.67 percent. That sits well below non-profits at 52.38 percent and consulting at 45.96 percent, and somewhat below authors at 43.14 percent. The gap between the lowest and highest of these four figures is close to twenty percentage points. If send time moved open rates by anything close to that amount, it would be the single biggest lever in email marketing, and it would show up consistently across every benchmark report. Instead, what shows up consistently is that list type and sender relationship separate industries far more than any hour-of-day effect that has been published here.
The Census Bureau’s quarterly e-commerce retail sales release reports e-commerce sales moving 0.9 percent in a comparison from the second quarter of 2025, while total retail sales in the same release increased 6.7 percent in one measure and 6.6 percent in another. That means the overwhelming majority of retail growth in that period came from channels outside e-commerce. A retailer who assumes rising retail sales automatically translate into rising email engagement is assuming a connection the numbers do not show. The 0.9 percent e-commerce figure and the 6.6 to 6.7 percent total retail figures sit in the same document but describe very different parts of the market.
| Measure | Figure | Comparison base |
|---|---|---|
| E-commerce sales change | 0.9 percent | Q2 2025 |
| Total retail sales change | 6.7 percent | Q2 2025 |
| Total retail sales change (alternate) | 6.6 percent | Q2 2025 |
| E-commerce sales change | 0.4 percent | Q1 2026 |
| E-commerce sales change (alternate) | 0.2 percent | Q1 2026 |
Worth flagging directly: the Census Bureau release lists both a 0.4 percent and a 0.2 percent change in e-commerce sales from the first quarter of 2026. Both numbers come from the same document. This is not a contradiction to paper over, it is a measured feature of the source, and it likely reflects different adjustment methods, such as seasonally adjusted versus not adjusted figures, being reported side by side in the same table. Anyone using this data for planning needs to check which version applies to their situation rather than picking whichever number is more convenient.
Put the two data sets next to each other and a pattern appears. The open rate benchmarks separate by audience type: e-commerce at 32.67 percent, authors at 43.14 percent, consulting at 45.96 percent, non-profits at 52.38 percent. The sales data separates by channel: e-commerce growth at 0.9 percent against total retail growth at 6.6 to 6.7 percent in the same quarter. Neither data set measures time of day, time of week, or any scheduling variable at all. The figures rest on two published sources: MailerLite’s benchmarks page as loaded October 15, 2026, and the Census Bureau’s quarterly e-commerce retail sales report as loaded the same date. Neither source breaks results down by send hour, so no claim about hour-by-hour performance can be built from them honestly.
A retailer who wants to improve open rates should compare their own numbers against the 32.67 percent e-commerce benchmark rather than the higher figures from non-profits or consulting, since those come from different list dynamics entirely. Beyond that comparison, the responsible move is to stop looking for a universal best hour in data that was never collected to answer that question.
The facts gathered here do not contain any hour-by-hour or day-by-day breakdown, so no specific send time can be defended from them. What the data does show is a spread in open rates by industry category, with e-commerce at 32.67 percent, authors at 43.14 percent, consulting at 45.96 percent, and non-profits at 52.38 percent. That spread is large enough that list type and sender relationship look like bigger levers than clock time. Anyone chasing a specific hour should ask first whether their list resembles an e-commerce list or a non-profit list, because the baseline expectation differs by roughly twenty points before time of day enters the picture at all.
The benchmark figures show e-commerce at 32.67 percent against non-profits at 52.38 percent and consulting at 45.96 percent. The facts available do not explain the mechanism, only the gap, which is nearly twenty points between the lowest and highest categories listed. A retailer reading these numbers should treat 32.67 percent as the relevant comparison point for their own campaigns rather than benchmarks pulled from a non-profit or consulting newsletter, since those audiences behave differently.
Not necessarily, and the two data sets here do not connect. Total retail sales increased 6.7 percent in one comparison and 6.6 percent in another, both measured from the second quarter of 2025, while e-commerce sales in the same comparisons moved only 0.9 percent. That gap means the bulk of retail growth in those quarters came from channels other than e-commerce, so any assumption that a rising tide lifts email open rates along with total sales is not supported by what was measured.
The facts show two separate figures for the comparison against the first quarter of 2026: a 0.4 percent change and a 0.2 percent change, both drawn from the same Census Bureau e-commerce retail sales release. The presence of two different figures in the same source for comparisons against the same base quarter is itself worth noting, and a reader relying on this data for planning should go back to the original release to see which figure applies to which measure, such as adjusted versus unadjusted sales.
The 32.67 percent figure is the one drawn specifically from e-commerce lists, so it is the more relevant comparison for an online retailer than the 43.14 percent author figure, the 45.96 percent consulting figure, or the 52.38 percent non-profit figure. Those other three numbers come from different list types with different sender relationships, and mixing them into an e-commerce benchmark would overstate what a retail campaign should expect.