Telegram posting schedule: best times

Each row is one published analysis, read from its own page on 2026-09-23. They measure different samples over different periods, so they are listed side by side rather than merged into one number.

That is the honest position. Various small analytics vendors publish Telegram “best time” claims, and we have not reproduced them because we could not verify their method or sample. The better evidence is your own channel’s statistics.

Both large studies express times as the audience’s local time: Sprout Social records every time in local time (a 9 a.m. window is 9 a.m. in Los Angeles, London and Sydney alike), and Buffer says to “consider all the recommendations local time”. If your audience is spread across time zones, schedule for the zone where most of your followers are.

Every figure here is an aggregate across many accounts and industries. It tells you where to start testing, not when your audience is online.

There is no published benchmark for Telegram channel frequency. Because each post can notify every subscriber, the sensible approach is to choose a cadence subscribers have not asked you to reduce, watch for unsubscribes and mutes after busy days, and batch related updates into one post rather than several.

Telegram’s built-in channel statistics are the right source for a channel’s audience, and they only unlock once a channel passes a minimum subscriber count that Telegram sets; see our note on Telegram analytics for scheduled posts. Below that threshold, per-post view counts under each message are the signal you have.

The Telegram apps have a built-in scheduled-message feature (hold the send button and choose to schedule), which Telegram announced on its blog. That is a separate feature from Telegram’s Bot API, which is what scheduling tools use and which has no scheduling parameter.

Telegram posts through SkedCast follow the same rules as the composer: up to 4,096 characters, with text-only posts allowed.

SkedCast holds a scheduled post and publishes it at the time you set, from one calendar shared with every other connected account, with the same per-platform limits checked when you schedule rather than at publish time. Scheduling never changes when your audience is online; it only makes sure the post goes out in the window you chose.

A study average is a starting hypothesis. Your account’s own results are the evidence. A simple test:

SkedCast’s best-times feature does the “find your own window” step for you where the data exists: a daily job reads each connected account’s own publish history and the engagement analytics SkedCast has ingested for it, and recommends the day-and-hour slots where that account’s posts did best, in the account’s own time zone. It never invents a slot — an account with no analytics data yet simply has none — and how much it can derive depends on what each platform exposes to third-party apps. The same slots are available through the API (GET /v1/best-times, scope besttimes.read) and the MCP get_best_times tool. Best times is included from the Solo plan.