How to Identify Real vs. Fake Active Users During TG Screening? Don’t Be Fooled by Simple “Online” Status

During TG screening, many people run into this confusion: the account shows as online but doesn’t reply to messages, or it comes online briefly and then disappears immediately. Behind these phenomena is often an over-reliance on surface-level information. In reality, effective TG screening cannot rely solely on the online status — you need to reconstruct the real usage trajectory through multi-dimensional data to identify who the truly active users are.

I. Why Do You Encounter Accounts That Are “Online but Not Active”?

If you’ve done Telegram operations, you’ve probably encountered these situations:

• Shows online, but never replies to messages
• Comes online briefly, then disappears right away
• Can be added as a friend, but never interacts
• Group messages are delivered successfully, but zero conversion

Very likely: the accounts you’re facing are not truly active accounts at all. If you only look at the online status during TG screening, it’s very easy to be misled by this superficial appearance.

II. What Features Do Truly Active Accounts Have?

Through in-depth TG screening, real active users usually exhibit the following characteristics:

• Regular login frequency: Stable daily or every-few-days online records, rather than long periods offline followed by sudden appearances
• Reasonable online duration: Each online session lasts a normal amount of time — not seconds online then seconds offline
• Group participation traces: Joined public groups or channels, with posting or browsing history
• Natural interaction behavior: Message reply time distribution is reasonable, not concentrated in explosive bursts during certain periods
• Complete profile: Has avatar, bio; some users also set usernames and links
  
  

III. Why Is Only Looking at Online Status Not Accurate Enough?

Telegram’s “online” status is actually a relatively lagging indicator. During TG screening, you need to pay special attention to the following:

• How is online status updated? The account shows online as soon as the app is opened, and it remains visible for a while even after closing — so the “online” you see might be from 10 minutes ago.
• Does background running count? When Telegram is kept in the phone’s background, the system may still show online even though the user is not actually using it.
• Impact of multi-device login? When a user logs in on desktop, the mobile side may still display online even if the phone is not in hand.
• Can you distinguish real from fake? Some non-active accounts use scripts to stay perpetually online — appearing always online on the surface, but completely unattended in reality.

All these factors show that judging activity level solely based on online status during TG screening carries a high risk of misjudgment.

IV. Which Dimensions Should You Focus On During TG Screening?

To do TG screening properly, you need to comprehensively evaluate the real status of accounts from the following dimensions:

Historical Login Patterns

• Average daily online duration over the past 7 days
• Main online time period distribution (daytime or late night?)
• Whether login frequency is stable (daily login vs. irregular “three days fishing, two days drying nets”)

Depth of Group Participation

• How many public groups or channels has the account joined?
• In which groups has it posted messages?
• Are the posts relevant to the group topic?
• Posting frequency — daily or only occasional?

Interaction Response Behavior

• Has it ever replied to private messages?
• What is the average reply time?
• Has it ever @-mentioned others or been @-mentioned in groups?
• Any record of proactively starting conversations?

Account Stability

• Length of registration time
• Frequency of profile changes (frequent changes may indicate abnormality)
• Any history of restrictions or bans

Only by combining these dimensions can you make a relatively comprehensive judgment of an account’s true activity level.

V. How to Classify Accounts Based on Screening Results?

After completing TG screening, you can classify accounts into different types according to the detection results and match them to different operational strategies:

• High-quality active accounts: Regular login patterns, group participation, normal interaction responses — suitable for focused operations and inviting into core groups
• Ordinary browsing accounts: Regular login but low interaction — suitable for pushing channel content and cultivating reading habits
• Accounts under observation: Unstable login, no group participation — delay deep outreach for now, maintain basic contact only
• Low-quality or abnormal accounts: Long-term offline, no interaction at all — not recommended to invest operational resources
• Suspected bot accounts: Abnormal online status, no real interaction — directly exclude
  
  

VI. How Can the ITG Full-Domain Screening Tool Improve TG Screening Efficiency?

When dealing with bulk accounts, professional tools can assist with screening:

• Online pattern visualization: Statistics on login frequency, online duration, and active time slots over the past 30 days — avoids being misled by momentary online status
• Group participation analysis: Detects which groups/channels the account has joined and whether it has posting records — reconstructs real social trajectory
• Interaction behavior tracing: Analyzes private message responses and group interactions to judge real reply habits
• Abnormal behavior flagging: Automatically alerts on suspicious patterns such as frequent location switches or abnormally concentrated online periods
• Comprehensive scoring & tiering: Generates an activity score based on multi-dimensional data and automatically categorizes by quality
  
  

Conclusion

The core of TG screening is not looking at surface online status, but reconstructing real usage trajectories. By analyzing login patterns, group participation, interaction responses, and other dimensions, you can more accurately judge account quality and avoid wasting resources. Whether through manual analysis or tools like ITG Full-Domain Screening, the goal is always the same: to ensure every outreach reaches more real users.

I hope the methods in this article help you screen out truly valuable active accounts.