Three hundred people registered.
The AI gets them to the session.

Low show-up rates have one plain cause: several days pass between the registration and the live session, and the whole thing slips out of mind entirely. The way to increase webinar attendance is a chain of touches, and in Botseller the AI runs it in Telegram: right after signup it says hello, hands over something useful and asks what the person wants from the session.

That answer lifts engagement and gives the school data to segment on. From there the AI reminds by schedule: a day before, the morning of, and fifteen minutes before it starts with the stream link. Anyone who missed it gets the recording and an invite to the next cohort, and those touches pull part of the audience back into the funnel.

Registrations, replies and statuses all live in the CRM, so the school knows who attended, who watched the replay and who to call. The scenario runs on the Growth plan and launches in a couple of hours without a developer.

Registering for a webinar costs a person three seconds, so it is valued at exactly three seconds: signed up, closed the tab, back to work. But the session is days away, and in that time they will collect hundreds of new notifications, dozens of emails and a couple of fresh worries for your reminder to drown in.

Email reminders do not save the situation: open rates have been falling for years, and an email sent an hour before the start gets read the next day by plenty of people. So schools simply buy more traffic to compensate for the losses at every step of the funnel. But paying for registrations half of which burn is the most expensive way to fill a room.

A messenger changes the mechanics: a Telegram message is opened in minutes rather than a day, and it reaches even the people who never check email. But one channel is not enough, you need a conversation: someone who replied to the bot after signing up shows up noticeably more often, because they already invested their own time in the exchange. So the chain starts with a question and something useful, not with a dry reminder.

Attendance stops depending on luck: every registration gets the same carefully built path, from the first message to the link fifteen minutes before the start. But the effect does not end at the headcount.

The answers collected before the session turn into segments for the sales team: who is changing careers, who wants a side income, who is comparing schools. So the call after the session goes to warm people with context, not to everyone at once. No-shows are not written off either: the recording with timestamps brings some of them to the next cohort.

The economics of the cohort become honest too: you can see what an attending viewer actually costs, not just a registration, and every edit to the chain shows up in that number immediately.