What is the best time to send B2B emails? Belkins’ 2026 data study

Vladyslav Podoliako
Author
Vladyslav Podoliako
Updated:2026-06-26
Reading time:7 min
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Based on our research, we’ll cover the optimal month, day, and time slot to send emails to your prospects. This may be your baseline for effective cold email campaigns.

Timing doesn’t write your email. It doesn’t fix a weak offer or a bad list. But if everything else is right and you’re still getting silence, the clock might be working against you.

We analyzed over 7.5 million cold emails sent through Belkins campaigns in 2025, across dozens of industries and hundreds of client projects, to find out when B2B emails actually get replies — and more importantly, when they turn into booked meetings.

The short version: mornings win on both counts. But the details matter more than the headline.

Key findings

  • Wednesday and Thursday produce the highest reply rates among weekdays (0.48% each).
  • Monday and Tuesday generate the most volume but slightly lower reply rates (0.45% each).
  • Morning sends (8 AM–12 PM) have both the highest reply rate (0.54%) and the highest meeting conversion rate (0.4%) of any time window.
  • Early morning sends (5–8 AM) match the morning-on meeting rate and are close on replies — a strong window that’s widely underused.
  • Afternoon (12–5 PM) accounts for the largest share of sends by far but underperforms on both metrics.
  • Q1 (January–March) is consistently the strongest period for reply rates. Summer and late fall show the sharpest dips.

Best day of the week to send cold emails

Reply rate by day

Wednesday and Thursday lead the working week, both at 0.48%. The difference from Monday and Tuesday (0.45%) is modest but consistent across 7.5 million sends — not noise.

Friday is the weakest weekday at 0.44%, which tracks with the intuition that prospects are mentally checking out by the end of the week. Saturday drops further to 0.35%.

Bar chart showing Wednesday and Thursday leading weekday reply rates at 0.48% each, with Friday at 0.44% and Saturday the weakest working-adjacent day at 0.35%.

Sunday is an outlier worth addressing directly. It shows the highest raw reply rate in the dataset (0.57%), but Sunday send volume in our data is extremely low — a small fraction of what any weekday sees. The rate is being driven by a narrow slice of senders who deliberately target Sunday-evening inbox checks, a tactic some experienced practitioners use to catch executives reviewing their week ahead. It’s not a general recommendation; it’s a niche approach that works in specific contexts and for specific audiences.

Meeting rate by day

When you look at which day leads to booked meetings rather than just replies, the picture flattens considerably. Monday, Tuesday, Thursday, Friday, and Saturday all come in at 0.2%. Wednesday, somewhat surprisingly, drops to 0.1% — suggesting that Wednesday replies may skew more conversational or non-committal.

Bar chart showing meeting rates relatively flat across weekdays at 0.2%, with Wednesday dipping to 0.1% despite its strong reply rate.

📌 Belkins tip: Wednesday and Thursday are best for sparking replies, but no single day has a decisive edge in converting those replies into meetings. Consistency across the week matters more than chasing a single best day.

Best time of day to send cold emails

This is where the data tells a clearer story.

Reply rate by time of day

Bar chart showing morning sends (8 AM–12 PM) achieving the highest reply rate at 0.54%, followed closely by early morning at 0.52%. Afternoon, night, and late evening all underperform.

Morning (8 AM–12 PM) is the top window at 0.54%. Early morning (5–8 AM) comes in close behind at 0.52%. Every other window underperforms relative to these two.

Afternoon (12–5 PM) is notable for a different reason: it receives by far the highest share of total sends in our dataset, yet its reply rate (0.47%) is below the morning windows. This is a classic case of convention and convenience driving behavior rather than performance — SDRs and campaign tools often schedule sends during business hours when they’re actively working, defaulting to afternoon slots that aren’t actually optimal.

Night and late evening both sit at 0.40%.

Meeting rate by time of day

Bar chart showing morning and early morning sends achieving a meeting rate of 0.4% — four times higher than all other time windows, which sit at 0.1%.

Here the split is stark. Morning and early morning both sit at 0.4% meeting rate — four times higher than every other window, which all come in at 0.1%.

This means a morning email isn’t just more likely to get a reply. It’s dramatically more likely to result in an actual meeting. That’s the metric that matters most for B2B sales development.

The gap between morning (0.4%) and afternoon (0.1%) is not a rounding artifact. Across millions of sends, it represents a real and significant difference in outcome.

💡 Why the morning advantage? Prospects who read email early in their day are still in planning mode, deciding what’s worth their attention before the day’s demands pile up. An email read at 9 AM is perceived differently from one buried in a crowded inbox by mid-afternoon. Replies sent in the morning may also come from people with more bandwidth to actually commit to a calendar event.

Reply rate vs. meeting rate: why they tell different stories

Throughout this study, we’ve tracked both metrics separately, and they don’t always point in the same direction. Wednesday leads on reply rate by day, but Wednesday has the lowest appointment rate of any weekday. Morning windows dominate on both metrics, but afternoon — despite strong reply volume — converts to meetings at a fraction of the rate.

What this tells us is that some timing windows generate more responses that don’t go anywhere: more “Not interested,” more “Remove me,” more one-line brushoffs. Other windows, specifically the morning ones, seem to catch prospects in a state where they’re genuinely willing to engage with what you’re proposing.

For teams optimizing pure pipeline (booked meetings), time of day matters more than day of week, and morning sends are the clearest recommendation the data can make.

What we recommend doing with this data

Schedule sends for 8 AM–12 PM in the prospect’s time zone, not yours. Most modern sequencing tools allow time-zone-aware scheduling. If yours doesn’t, this is worth fixing. An email that lands at 8 AM in New York while you’re in California is doing the work for you while you sleep.

Don’t write off early morning (5–8 AM). It matches the morning meeting rate and nearly matches the reply rate. For executive-targeted campaigns where the audience is known to check email before the workday, this window can outperform.

Front-load Q1. If you have a backlog of new campaigns, new sequences to test, or new verticals to break into, the January–March window is your highest-probability launchpad. Prospect engagement is highest, and the competitive noise is lower than it will be later in the year.

Treat summer as a nurture and refinement period. July and August aren’t dead, but expecting Q1-level response during peak vacation season leads to unnecessary pessimism about what’s actually a seasonality effect.

Watch Wednesday replies for quality, not just quantity. Wednesday generates strong reply volume, but if your conversion from reply to meeting is lower than expected, check whether those replies are genuinely interested or mostly polite declines. Thursday may give you slightly fewer replies but better-quality ones.

📚 For channel-specific benchmarks, see our companion studies:

Sources and methodology

This study analyzes cold email outreach performance across Belkins client campaigns conducted throughout 2025 (January–November), representing over 7.5 million emails sent. Data is drawn from Belkins’ proprietary campaign management infrastructure across dozens of industries and company sizes.

Reply rate is calculated as the number of replies divided by the total emails sent. This differs from our 2023 study, which used emails opened as the denominator. We made this change following the discontinuation of pixel-based open tracking, which had become unreliable due to widespread blocking by email clients and privacy tools. Rates in this study will read lower than prior editions as a result — the denominator is larger, not the performance worse.

Meeting (appointment) rate is calculated as booked meetings divided by total emails sent.

All time-of-day data reflects the time the email was sent, not the time it was received or read. For audience segments in multiple time zones, the recipient’s local time may differ.

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Vladyslav Podoliako
Author
Vladyslav Podoliako
Co-founder and CEO of Belkins and Folderly
Vlad’s an expert in the areas of culture transformation and leadership development, B2B sales, and marketing. He spent more than 10 years building technology products, has a background in communication networks and electronic device engineering.