Free tool
Send WhatsApp broadcasts when people actually read them
Pick your audience and message intent to get a week-at-a-glance map of strong, okay and avoid send windows — built on daily routines, not guesswork.
1. Who are you messaging?
2. What kind of message is it?
3. Which days are you considering?
Unselected days are dimmed in the map and excluded from the copied plan.
Respect quiet hours — avoid sending between 21:00 and 09:00 — and follow local send regulations. Always schedule in the customer's timezone, not your own.
Your send-time map
What we'd do
- 1Lead with weekday evenings (18–21) — commute and wind-down windows when consumers are most likely to read and reply.
- 2For weekend sends, aim for late morning (10–12), when people plan their day and browse offers.
- 3Skip early weekday mornings — messages sent before the workday starts tend to get buried under everything else.
These windows are reasoning-based — built around commute, work-block and wind-down routines — not statistics. Treat them as a starting point and let your own read and reply data decide.
How it works
Three steps, no signup
Pick your audience
B2C consumers, B2B decision makers, students or parents — each group's day has a different rhythm, so the map changes with your choice.
Set the message intent
Promotional and reminder messages get a timing grid; transactional messages get a straight answer — send on trigger, immediately.
Read the map and schedule
Aim for strong windows, respect the 21:00–09:00 quiet hours, and schedule in your customer's timezone. Copy the plan to share with your team.
Beyond the clock
Send time matters — frequency discipline matters more
It is easy to obsess over the perfect hour and ignore the variable that actually decides whether your broadcasts keep working: how often you send. A list that hears from you twice a week with genuinely relevant offers will read a message sent at a mediocre time. A list that gets daily promotions will ignore — and eventually block — a message sent at the perfect one. Blocks and reports feed into your WhatsApp quality rating, which in turn caps how many people you can message at all. So before tuning send times, fix your cadence: fewer campaigns, tighter segments, and a clear reason for every send.
Once frequency is under control, treat send time as an experiment rather than a setting. Pick two candidate windows per segment — say, weekday 18:00–21:00 versus Saturday 10:00–12:00 for a consumer list — and alternate campaigns between them for three or four weeks. Compare read rates first, then replies and click-throughs on your buttons. Reply data is the stronger signal: a window where people read but never respond is worth less than one with slightly fewer reads and real conversations. Keep the winner, then test it against a new challenger. Your audience's routine is more specific than any generic grid, and only your own data can find it.
One operational detail that separates smooth campaigns from chaotic ones: batching. If a broadcast to 20,000 contacts lands in a single minute, every reply lands in the next ten — and your support team drowns. Spreading a large send over an hour smooths that reply curve, so agents work a steady queue instead of a spike, response times stay reasonable, and customers who reply actually get answered inside the conversation window. For reply-heavy campaigns like sales events or appointment confirmations, batching is often worth more than any send-time optimisation.
- Cap promotional frequency per contact before optimising the hour — cadence damage outweighs timing gains.
- Test two windows per segment and let read and reply data pick the winner; revisit quarterly as routines shift.
- Batch large sends over 30–60 minutes so replies arrive as a stream your team can actually handle.
- Keep transactional messages out of this planning entirely — they go out on trigger, every time.
FAQ
Frequently asked questions
What is the best time to send a WhatsApp broadcast?
It depends on who you are messaging and why. For consumer promotions, weekday evenings (18:00–21:00) and weekend late mornings tend to work because they line up with commute, wind-down and weekend-planning routines. For B2B audiences, mid-morning and mid-afternoon on Tuesday to Thursday catch decision makers at their desk but past the morning email triage. This planner maps those patterns for four audience types.
Why does the planner say timing rules don't apply to transactional messages?
Transactional messages — order confirmations, OTPs, delivery updates — are expected the moment the triggering event happens. Holding a payment receipt until an 'optimal' window would only make customers doubt whether the payment went through. Wire these to system events via API or webhook; the only timing courtesy is holding non-urgent updates that fire late at night until morning.
Are these recommendations based on real statistics?
No — and deliberately so. Published 'best time to send' statistics vary wildly by industry, country and how the study was run, so we don't quote any. The grid is built from routine-based reasoning: commute windows, work blocks, school runs and wind-down hours. Use it as a sensible starting point, then let your own read and reply rates decide between windows.
What are quiet hours and why should I avoid 21:00 to 09:00?
Quiet hours are the stretch when a promotional message is most likely to annoy rather than convert — late evening through early morning. A notification that wakes someone at 23:30 gets you blocked or reported, and block rates directly affect your WhatsApp quality rating and messaging limits. Always schedule in the customer's local timezone, and check any send-time regulations that apply in your market.
Should I send every broadcast at the same time each week?
Consistency helps less than restraint. Pick two candidate windows per segment, alternate campaigns between them for a few weeks, and keep the one with better read and reply rates. What damages a broadcast list fastest is not the wrong hour — it is sending too often. A well-timed message to a fatigued list still gets ignored or blocked.
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