Know exactly how fast your team replies on Telegram.

Why Telegram response time analytics matter

Telegram does not give teams a native view of first-reply performance across several connected accounts. Entergram makes that work measurable by showing the average first-reply time, response coverage and trigger count for the same selected scope. This lets a team distinguish a genuinely fast inbox from one that looks fast only because unanswered triggers are excluded from the time average.

Every incoming private message is a trigger; in groups, only @mentions and replies to your messages trigger the response clock. A response counts when it arrives within one hour of a trigger. Average first reply includes counted responses only; unanswered triggers lower response coverage but do not increase the average time.

Here is the rule in one worked example. A trigger arrives at 10:00. If you reply at 10:15, the response counts, and 15 minutes goes into the average. If you reply at 11:05 instead, the reply still happened, but at 1 hour 5 minutes it falls outside the window: it does not count toward response metrics, the trigger lowers your response rate, and the average time is untouched. Response time is simply the moment your reply was sent minus the moment the trigger arrived, reported in minutes.

The asymmetry is deliberate. If an unanswered trigger were folded into the average as an infinitely long wait, one forgotten message would wreck the number and it would stop being useful. Keeping unanswered triggers in the rate, and out of the time, means each metric answers one question cleanly.

Segment before you compare people. Someone who lives in group chats has a structurally different trigger profile from someone doing one-to-one outreach, because in groups only mentions and replies count. Use the Chat type filter (All, Users, Groups, Channels) so you compare like with like. Also expect the rate to fall in a busy week: the same number of replies against more triggers is a lower percentage, so check the trigger count before calling it a slowdown.

The one-hour window is fixed, and it is the wrong tool for slower service promises. If your business commits to answering by the next business day, put the conversation on a ticket and use a ticket SLA, which carries its own deadline in hours and is tracked separately in ticket analytics. Response metrics stay the measure of live conversation, SLA the measure of a promise.

Where the numbers appear in Entergram: the Response Rate and Avg Response Time stat cards on the Analytics overview, the Response Performance card, the Resp. rate and Avg 1st reply columns in the message breakdown (pivot it by Telegram account or by seat), the Response board in Performance, and the Fastest reply and Best coverage derived stats. The default time range is 30 days. You can switch to Today, 3 days, 7 days, 1 year, All time or a custom range; unlimited history and custom ranges are Pro features.

A fixed report answers the questions someone anticipated in advance. The rest you ask directly. The same message events behind these numbers reach Claude, ChatGPT or any other MCP client through the Entergram connector, each event carrying an account, a chat, a timestamp and a direction, across every account on your seat. An AI client can work out from that whether first-reply time slipped only on Mondays, or whether it got worse after one teammate picked up a set of chats. Neither question has a button in the dashboard. When the answer belongs in a client report or a spreadsheet instead, the raw analytics data downloads.