How to build a look-alike audience in Telegram

Telegram has no ad-platform look-alike — but it has an honest equivalent: people who are in several niche chats at once. That is the 'hot core' — an audience with confirmed interest.

The idea: intersection instead of an algorithm

One themed chat means interest. Two or three chats of the same niche mean sustained interest: the person deliberately surrounds themselves with the topic. Intersection selects exactly those.

Step 1. Collect several niche bases

Find niche chats via keyword search and collect members of each — preferably active over the last month rather than full lists.

Step 2. Intersect the bases in Audiences

In the Audiences section pick the collected bases and build the intersection — people present in at least two chats remain. More bases → hotter and smaller core.

Step 3. Filter bots and export

Scoring removes bots and deleted accounts; the result is an Excel with clickable profiles. The core is usually several times smaller than the source bases but converts noticeably better.

Telegram Parser
Collect the audience of Telegram chats and channels: active members by messages (the most 'alive' leads), full member lists, channel commenters, keyword search of chats.
Telegram Parser → Get started — free sign-up

FAQ

How many chats to intersect?
Usually 3–5 niche chats: fewer — the core is diluted, more — too few people may remain.
Why is the core better than a plain base?
Interest density: a person in several niche chats is almost certainly on-target. Fewer wasted touches.

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