ProSec: Audience Analytics and Cleanup

A channel has a thousand subscribers, but reach looks like a hundred? Part of the audience may be bots, dead accounts or purchased followers. ProSec Analytics is made for such cases: it controls audience quality, cleans, analyzes and protects projects 🛡

The author describes the bot as a comprehensive analytics and security tool for channels and groups. The profile has both Russian and English text, and questions go to a separate support service.

Three jobs in one bot

The description names three actions, and each answers a channel owner's pain.

• Cleanup: remove bots and inactive accounts from the audience.
• Analysis: collect analytical data about the audience.
• Protection: keep fake growth from spoiling your statistics and the channel's reputation.

Check the detailed modes and plans inside the app, since they may change.

Why quality beats the number

Advertisers look at reach and engagement, not at the subscriber count. If half the audience stays silent, the channel's ad value falls and the placement price rises for no reason.

For a group it is even tougher: bots in a chat spread spam and links, and live members leave. A clean audience helps both growth and safety 🧹

What fake growth often looks like

There are several signs you can use to suspect odd growth yourself.

1. A sudden jump in subscribers with no reason: no ad, no mention.
2. Low views with a large audience.
3. Many accounts without an avatar or a name in the subscriber list.
4. A mass outflow a few days after an inflow.

Keeping it clean after the cleanup

A one-off cleanup solves the problem for a short time. If the gates stay open, bots will return, so it is worth setting up steady control.

• A captcha on entry: in a group, ask a newcomer to confirm they are human.
• Source checks: look at where subscribers come from and drop suspicious acquisition channels.
• A regular look at reach: once a week compare views with the subscriber count.

That keeps the audience alive and the data honest.

What to compare data with

Analytics is useful when you compare it with your own observations. Look at the reach of recent posts, reactions and forwards, not only the subscriber count.

If numbers disagree, the reason may be weak content rather than bots. Test hypotheses one at a time.

Rights and caution

A bot that cleans an audience gets serious rights in a channel or group. Before connecting it, review the permission list and give only what is needed.

• Test on a small project: first make sure the bot does not remove live people.
• A backup: write down the member list if you can.
• Support: find where to write if the cleanup goes wrong.

The project is small, and its abilities are best judged in practice. Take the bot link only from official sources 🔍