Tags, tickets, and the pipeline

Turn conversations into a CRM: label chats with tags, track work with tickets, and manage stages with a pipeline.

A chat list does not scale. Past a few dozen active conversations, nobody remembers who was interested, who went quiet, or who was promised a follow-up on Thursday. GramClaw layers three lightweight CRM tools directly onto your Telegram conversations — tags, tickets, and a pipeline — so outreach runs like a sales process instead of a memory test.

Everything lives on the conversation itself. There is no separate CRM to keep in sync: the chat is the record.

The building blocks

  • Tags: flexible labels for anything — source, interest, language, campaign, VIP. A chat can carry any number of tags, and tags drive filters and segments.
  • Custom columns: structured fields on every chat — text, select, date, and checkbox types — for the data you always want captured, like deal size, region, or renewal date.
  • Tickets: a unit of work attached to a conversation, with status, priority, and an assignee. Tickets are how 'someone should deal with this' becomes 'this person is dealing with it'.
  • Pipeline: named stages you define — for example New, Contacted, Replied, Qualified, Won — with conversations dragged between them as deals progress.

Set it up once

  1. 1

    Define your stages

    Keep the pipeline honest and short — five to seven stages that mirror how a deal actually moves for you.

  2. 2

    Create your core tags

    Start with source and intent tags (inbound, cold, referral; interested, later, not-now). Add more only when a filter needs them.

  3. 3

    Add custom columns for hard data

    Anything you will want to filter or segment on later — budget, market, product line — belongs in a structured column, not in someone's memory of the thread.

  4. 4

    Route work through tickets

    Agree that anything needing follow-up gets a ticket with an owner. The inbox stays a queue; tickets are commitments.

Where it pays off: segments

Tags, columns, and stages are not just bookkeeping — they are targeting. Segments for campaigns and broadcasts are built from exactly these fields, so 'everyone tagged interested, in stage Replied, with budget above X' is a two-click audience. The better your inbox hygiene, the sharper your outreach gets: personalized follow-ups to precisely the right people instead of blasts to a stale list.

It also closes the loop. When a campaign reply lands, the chat already carries its tags and stage, so whoever picks it up has full context — and moving it forward is one drag.

Frequently asked questions

Can I filter campaigns by pipeline stage?
Yes. Segments can be built from tags, custom columns, and pipeline stage, so campaigns and broadcasts target exactly the right people.
What field types do custom columns support?
Text, select, date, and checkbox — enough structure for real qualification data without turning chats into forms.
How are tickets different from tags?
A tag describes a conversation; a ticket assigns work on it. Tickets carry status, priority, and an owner, so follow-ups have accountability instead of good intentions.

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