Want to find truly highly active users on Telegram? These three behavioral signals will help you accurately identify and tag them.

For teams promoting through Telegram, finding truly valuable users is crucial. Blindly adding or pushing messages often results in covering a large number of ineffective accounts, wasting operational resources. Therefore, accurately identifying highly active Telegram users is key to improving efficiency. This article will focus on three core behavioral signals to help you effectively identify truly active users with interaction potential, improving reach and conversion rates. Identifying highly active Telegram users is the first step to successful operations.

I. Why is online status more important than registration status?

Many teams will first check a user's registration status, assuming that as long as the account exists, communication is possible. However, in reality, even if an account is registered, the following situations often occur:

• The account has been registered but not logged in for a long time and is in a "cold account" state.

• After registering, the user never completed their profile information; there was no profile picture or any activity.

• The account has been restricted due to violations or risk control measures, and is unable to send or receive messages normally.

• Registration is done through temporary or SMS verification platforms, and the accounts are discarded after use; there are no real users behind them.

Even if these accounts appear in the list, they may not respond to any messages. Therefore, after confirming the registration status, determining whether the user is "currently online" or "has been active recently" is crucial for enabling communication and realizing opportunities.

II. What behavioral signals indicate a user's high level of activity?

We need to judge user activity levels through more specific behaviors. Here are three easily observable signals:

1. How frequently have you been interacting with others recently?

A highly active user typically engages in messaging activities recently. This can be observed through the following aspects:

• Check the time when a user last sent or replied to a message; interaction within 24 hours is the best indicator.

• Observe their chat history in groups or channels to see if they frequently participate in discussions.

• Pay attention to their private message response speed; those who reply frequently are often more active.

• Note whether multiple message types are used, such as text, images, and voice messages.

These interaction traces indicate that the user is not only "online," but also an active user who is actually using Telegram to communicate.

2. How complete and up-to-date is your personal information?

A user who values ​​their account will typically maintain the authenticity and integrity of their personal information.

• Have you set a clear, non-default profile picture?

• Has specific information been filled in the personal profile or description section?

• Whether the username is distinctive or merely a random combination of characters.

• Have you recently changed your name, profile picture, or bio?

Users with complete and up-to-date profiles usually indicate that they are using the account seriously and are likely to be active for a long time.

3. Are you actively appearing in multiple groups or channels?

Truly active users rarely stay in one place. They tend to appear in multiple relevant groups or channels:

• His speaking history was found in multiple groups within the same field.

• Frequently like, comment on, or share content on popular channels.

• At the same time, it maintains its presence in different types of groups (such as resource groups and exchange groups).

• Its active behavior is continuous, rather than appearing only occasionally.

The active participation across groups indicates that users have a strong willingness to participate and a good habit of using the platform.

III. How to systematically identify and tag these users?

Having understood behavioral signals, we need a methodology to systematically identify and flag these highly active users. Here are some actionable steps:

1. Set clear activity metrics

First, define what constitutes "high activity." For example:

• Send or reply to more than 5 messages in the past 7 days

• The profile is over 80% complete (both the profile picture and bio are not empty).

• Recent posts in at least two relevant groups

• Last online time within 48 hours

Only with clear standards can the identification work have a basis.

2. Collect behavioral data using observation tools.

Manually checking each user is neither practical nor efficient. Tools can be used to assist in observation:

• Use a third-party tool with activity detection capabilities.

• Batch check users' last online time and data update status

• Record the frequency and time distribution of users' posts in the target group.

• Note that the tools must comply with platform rules and only read publicly available information.

Data collection is the foundation of identification, and it is essential to ensure that the methods used are compliant.

3. Establish a user tagging system for classification.

Once highly active users are identified, they should be marked promptly for follow-up:

• Categorize by activity level, such as "Highly Active," "Moderately Active," and "Under Observation."

• Add secondary tags based on user interests or behavioral characteristics, such as "Tech Enthusiast" or "Frequent Questioner".

• Note their most recent active time and key behaviors in your contacts or CRM tools.

• Regularly update tags to reflect the user's latest activity status.

A good tagging system allows the operations team to quickly identify target users.

4. Combine ITG's comprehensive screening for precise selection.

When efficient screening from a large number of potential users is required, consider using specialized tools. For example, ITG's global screening tool can perform batch identification based on multi-dimensional behavioral signals.

• This tool can track user interaction frequency across groups and channels.

• Helps filter out invalid accounts that are inactive for long periods or have blank profiles.

• Automatically tag potentially high-value users based on a custom activity threshold.

• Supports exporting clear lists, facilitating subsequent tiered operations.

Using such tools appropriately can significantly improve identification efficiency and accuracy, but it is essential to ensure that the data source is public and legal, and that user privacy is respected.

IV. How to effectively interact with highly active users after tagging them?

Identification and tagging are only the first step. The next step is to convert activity into actual relationships or conversions through appropriate interaction.

1. Prioritize pushing valuable content.

Highly active users are more sensitive to content quality and should be prioritized for delivery.

• Provide practical resources : Share helpful information, tools, or reports to solve their practical problems.

• Offer exclusive benefits : receive limited-time offers, access to new product beta testing, or invitations to exclusive events.

• Matching content based on interests : Recommending relevant articles, in-depth discussions, or video resources based on their historical interactions.

• Strictly control frequency and quality : Avoid spamming push notifications and ensure that every piece of information is screened, prioritizing quality over quantity.

High-quality content is key to maintaining its activity and building trust.

2. Encourage participation and build long-term relationships.

Convert highly active users into active members of the community:

• Invite them to participate in surveys, polls, or opinion polls.

• Invite them to participate in professional discussions in the group as appropriate.

• Establish a core user group to provide more opportunities for interaction.

• Regularly monitor their feedback and respond or make adjustments accordingly.

Through continuous interaction, these users can be developed into loyal partners or brand ambassadors.

Conclusion

Discovering highly active users on Telegram is like panning for gold; it requires both method and patience. By paying attention to signals such as online status, interaction frequency, profile completeness, and cross-group behavior, you can more accurately filter them from numerous accounts.
Remember, successful operation is not about how many contacts you add, but about connecting with how many truly listening and interactive individuals you connect with. Let behavioral signals guide your actions, making each communication more visible and responsive.