There is no universal best time
Search for “best times to post on Telegram” and you find tables full of percentages. None of those tables knows your audience. A computing deals channel followed by students and one followed by office workers have different days, and the same hour produces opposite results.
The best time does exist, but it is yours and you find it by measuring. This guide explains how to read the data Telegram already shows you, how to set up an honest comparison, and how to avoid mistaking a coincidence for a rule.
First of all, check the time zone
The first check is trivial and almost always skipped. When you schedule a message, the time you pick is read according to the time zone set in the tool you use, which is not necessarily the one you live in or the one your followers live in.
An hour chosen without checking the zone lands at a different moment of the day. 20:00 becomes 19:00 or 21:00, and the comparison you are building measures something you did not intend. Check again when the clocks change, too.
Check the time zone in your scheduling tool, then send a test message and look at what time it actually arrives in the channel. One check message saves weeks of unusable data.
Views are the signal to start from
Telegram shows a view count under every message in a channel. It is the raw signal to start from: it says how many times the message was seen, not how many people read it carefully, and not how many were interested in the product.
Views keep climbing after publication, because people opening the chat later scroll back. So a comparison only means something if you read the numbers at the same distance from publication every time: always at twenty-four hours, say, never one at an hour and another at three days.
Write it all in a sheet: date, real time of publication, type of deal, views at the moment you checked. Without a written record, after three weeks you will be comparing impressions, not data.
Official source: Telegram: channel FAQ
Setting up a comparison that means something
A useful comparison changes one thing at a time. If you move the hour while also changing the product category or the frequency, whatever result you get cannot be attributed to the hour.
- Pick two time slots far apart, early morning and early evening for example.
- Hold everything else still: same type of deals, same message length, same number of posts per day.
- Post in each slot for a period that includes both weekdays and weekends.
- Read the views at the same distance from publication every time, and write them in the record.
- Compare like periods: two full weeks against two full weeks, not an ordinary week against Christmas week.
- Put the winning slot against a third one, instead of treating the question as settled after the first comparison.
Views, clicks and purchases are three different things
They do not convert into one another. A view says the message appeared. A click says somebody wanted to see the product. A qualifying, attributed purchase is the only one that can produce an Amazon commission.
One hour can raise views and leave clicks where they were: that moment brings distracted attention. Another can give fewer views and more clicks. This is why the clicks in your own tools and the Amazon reports are read alongside views, not instead of them.
Keep the sources apart in the record too. Telegram measures reach, Amazon measures attributed purchases, and the reference periods may not line up. For more on reading them without mixing them, see how to make money on Telegram.
Consistency counts for more than the perfect hour
One thing weighs more than the exact hour: always posting at the same moments. Your followers learn when you arrive. A channel that posts at 19:00 every day builds a habit; one that posts at random times stays a notification among others.
Consistency is also what makes measurement possible. If the hour changes every day you do not have two groups to compare, you have noise. Pick a plausible slot, keep it for weeks, and only then try moving it.
The same goes for frequency. Raising the number of posts while moving the hour mixes two effects and makes the comparison useless. If you want to change frequency, do it after the timing test is closed.
Three mistakes that make the test worthless
The first: comparing two days. Two days say nothing, because a single product in high demand can move everything on its own.
The second: reading the numbers right after posting. Ten minutes in, you are measuring who had the app already open, not the reach of the message.
The third: taking an hour from an article and treating it as verified. If a figure does not come from your channel, it is the starting point of a test, not its conclusion. You can automate recurring publishing with a dedicated tool, but which hour is right is something only your own data can say.