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Collecting commenters: the warmest slice of an audience

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A group member once tapped join. A commenter read a specific post and replied. Why the second is worth far more, and where the limits are.

Collecting commenters: the warmest slice of an audience

A group member is someone who once tapped "join". A commenter is someone who read a particular post and decided to answer it. The difference in temperature is large, and collecting them is no harder.

How it works technically

Comments under a channel post live in the linked discussion group. A commenter is therefore a group member who wrote something — for a parser, an ordinary group with an extra signal: who wrote, when, and under which post.

Why it beats a member list

  • Interest in the subject, not the channel. Someone replying under a post about choosing a contractor has declared a specific job.
  • Recency. A comment from last week is a fresh signal; joining a group could have happened two years ago.
  • The account is alive. People who write are people who open the app.

Same logic, wider scope: finding active users.

The limits

You can only collect what somebody showed publicly. No username means no way to write — users without a username. Closed privacy settings mean the same in practice — why part of your list is unreachable.

What not to do with it

Mass-message everyone who commented under someone else's post. The channel sees that thread too, and the reports arrive quickly — why Telegram restricts accounts.

What to do instead

Be present rather than intrusive. You now know where conversations in your field happen and who takes part; the sensible move is to answer there, in the thread, rather than to write first in private — comment marketing. If outreach is genuinely warranted, start with the first message: cold outreach.

How Neurogram does this

Everything above is manual work that runs into the number of hours in a day. Neurogram does it on your own accounts and without you: it collects channels and audiences, writes comments and replies with a language model, and keeps limits and quiet hours so the accounts survive. See pricing or look at your case.

Topic: Parsing

More on this topic: The tool for this

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