Key metrics for identifying highly active Telegram users: message frequency, online time, and community engagement.
I. Why can't we only look at registration status to identify highly active Telegram users?
- The account has been registered but has not been logged in for a long time, remaining dormant and never viewed with any messages.
- The user only completed the registration process, with no trace of usage, no profile picture, nickname, or membership to any online communities.
- The account has been restricted due to violations, and is unable to send or receive messages, or participate in interactions even when online.
- Registered temporarily through a SMS verification platform, intended for completing tasks and then discarded; no actual activity is required.
- I log in occasionally but never interact; I only passively receive messages and never reply, like, or share any content.
II. What are the three key metrics for identifying highly active Telegram users?
- Message frequency: The frequency with which a user sends and receives messages is a fundamental indicator of activity and reflects their dependence on Telegram.
- Online time: The amount of time a user spends online each day or week. The longer a user stays online, the higher their activity level and the more attention they receive from the platform.
- Community engagement: The level of user interaction within the community is a key indicator of user stickiness, including actions such as replying, liking, and initiating topics.
III. How do you determine message frequency to identify a highly active Telegram user?
- Send messages: Send messages proactively every day, at least 10 times per week, not meaningless spamming.
- Feedback received: Reply to private messages and group mentions within 24 hours, and do not ignore them for a long time.
- Message quality: Contains substantive content and actively initiates interactions, inquiries, or sharing.
- Frequency stability: Maintaining long-term stability, rather than relying on occasional high-frequency transmissions.
IV. How can online time be statistically analyzed to accurately match high activity criteria?
- Statistical period: One week is used to avoid misjudgment caused by daily fluctuations.
- The criteria for meeting the standards are: highly active users must be online for at least 10 hours per week and an average of 1.5 hours per day, with their online time evenly distributed.
- Statistical method: Quick statistical analysis using a sieve tool eliminates the need for manual recording, reducing errors.
- Special cases: Excluding passive online activity such as background shutdowns, this type of time is not counted as valid active time.
V. Is it true that even if someone is online for a long time, they are not considered a highly active user due to low community engagement?
- Proactive interaction: Actively reply, like, and start topics within the community to create a lively atmosphere.
- Respond to interactions: Actively respond to community mentions and topic discussions, and do not deliberately ignore them.
- Content output: Proactively share useful content and contribute value to the community.
- Community engagement: Long-term retention and active participation, with regular checks of community messages.
VI. Specific operating steps: How to quickly identify highly active Telegram users?
- 1. Open the ITG global filtering tool, enter the Telegram user identification section, and use it directly without registration;
- 2. Upload a list of Telegram users; multiple formats are supported, and the tool automatically recognizes the accounts.
- 3. Select the three core indicators, enter the target criteria, and leave the rest as default;
- 4. Click “Start Recognition” and the tool will automatically perform statistical comparisons and display the progress in real time.
VII. After identifying highly active users, how can we effectively utilize them to improve operational results?
- Prioritize connecting with highly active users, pushing precise content and services to improve conversion rates and enhance user engagement;
- Guide them to become the core of the community, drive interaction, and activate the community atmosphere;
- Regular follow-ups are conducted to understand user needs and optimize strategies, preventing the churn of highly active users.
- Cultivate ordinary active users and guide them to increase their activity level and transform them into highly active users.
Conclusion
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