In-Depth Guide to Telegram Account Status Detection: How to Judge Account Activity and Authenticity?

I. First, Clarify: Why Must We Detect TG Account Status? Three Major Harms of Invalid Accounts

• Resource Waste: Invalid Accounts Devour Over 60% of Operating Costs: In number pools where TG account status is not detected, empty numbers, deregistered numbers, and long-unused accounts generally account for more than 60%. A cross-border e-commerce company once pushed new product information to 100,000 TG accounts. Due to failing to detect TG account status, only 30,000 messages reached real users, and nearly 70,000 yuan in marketing expenses was directly wasted on invalid accounts. Detecting TG account status can eliminate such accounts from the source, ensuring that costs are accurately invested in effective resources.
• Data Distortion: Fake Interactions Mislead Operational Decisions: Some TG accounts seem to have login records, but they are actually bot accounts or troll accounts. Incorporating them into the operation system without detecting TG account status will lead to "false high interaction rates" and "distorted user portraits". An education institution failed to detect TG account status and mistakenly identified a large number of bot accounts as potential customers. The conversion rate of subsequent targeted course recommendations was less than 1%, which completely deviated from the real operational direction.
• Account Risk: Frequent Reach Triggers Platform Restrictions: The TG platform has strict judgments on the behavior of "sending bulk messages to invalid accounts". Blindly pushing messages without detecting TG account status may lead to being marked as "spam marketing", resulting in operational accounts being restricted or even banned. A technology company once lost its core operational account due to this, and the subsequent customer recall cost increased by 3 times. This is the painful price of neglecting to detect TG account status.
  
  

II. Core Dimensions: Two Core Aspects of Detecting TG Account Status—Activity and Authenticity

• Activity Detection: Three Key Indicators to Lock Active Accounts: When detecting the activity of TG account status, three key indicators should be focused on. First, login frequency—accounts with login records in the past 7 days have high activity, while those with no login records for more than 30 days should be marked as "inactive accounts"; second, interaction behavior—whether there are operations such as taking the initiative to send messages, speaking in groups, and clicking links, which is the core of judging whether an account is "actually in use"; third, status updates—whether the avatar, nickname, and signature have been modified recently, and whether the dynamics have been updated. These details can help judge the activity level of the TG account. Through these three indicators, the accuracy of detecting the activity of TG account status can be increased to more than 80%.
• Authenticity Detection: Four Details to Eliminate Fake Accounts: Authenticity is another core of detecting TG account status, and bot accounts and troll accounts need to be identified through details. First, check the account registration time—newly registered accounts with no information completed have high risks; second, check the completeness of information—"three-no accounts" with no avatar, no nickname, and no signature are mostly fake accounts; third, check the quality of interactions—if the reply content is mechanical, only contains emojis or garbled characters, it is necessary to be alert to bot interactions; fourth, verify device information—accounts that frequently change login devices or use abnormal devices have questionable authenticity. Integrating these details can effectively complete the authenticity detection of TG account status.
• Misunderstanding Reminder: Don’t Treat "Silent Accounts" as "Invalid Accounts": When detecting TG account status, it is easy to fall into the misunderstanding of "one-size-fits-all"—classifying "silent accounts" with no interactions but with login records as invalid. Such accounts may be potential customers with "high intention but caution". They should be marked separately during detection and activated through differentiated wake-up strategies instead of being directly eliminated. This is also a manifestation of the refinement of detecting TG account status.
  
  

III. Practical Process: Four Steps to Complete In-Depth Detection of TG Account Status, Efficient and Accurate

• Step 1: Preliminary Filtering, Quickly Eliminate Obvious Invalid Accounts: The first step in detecting TG account status is to "remove the rough and retain the refined". Through the official TG interface or basic tools, batch filter empty numbers, deregistered numbers, and accounts with incorrect formats. This step can eliminate more than 40% of invalid resources. For example, a foreign trade enterprise streamlined 50,000 TG accounts to 30,000 through preliminary filtering, which greatly reduced the subsequent detection pressure and laid the foundation for accurately detecting TG account status.
• Step 2: Dimensional Detection, Score Based on Activity and Authenticity: For accounts after preliminary filtering, carry out multi-dimensional detection of TG account status. Set scoring standards based on login frequency (30 points), interaction behavior (30 points), information completeness (20 points), and device stability (20 points). Accounts with a total score of more than 80 points are "high-quality active accounts", those with 60-80 points are "potential accounts", and those with less than 60 points are "high-risk accounts". An e-commerce platform quickly locked 20,000 high-quality accounts by detecting TG account status with this scoring system, and the subsequent marketing conversion rate increased by 3 times.

IV. Tool Support: Use ITG Global Screening to Improve the Efficiency and Accuracy of Detecting TG Account Status

• 100,000-Level Batch Detection, Efficiency Increased by 100 Times: ITG Global Screening supports batch import of 100,000 TG accounts and can complete the entire process from preliminary filtering to dimensional detection in only 15 minutes, with efficiency far exceeding that of manual work. A cross-border enterprise used it to detect 500,000 TG accounts, and the screening was completed in only 2 hours, while manual operation would take 30 people/day, completely solving the efficiency problem of detecting TG account status.
• 12-Dimensional In-Depth Detection, Accuracy Up to 98%: It has 12 detection dimensions including login frequency, interaction quality, and device information. It can not only identify empty numbers and deregistered numbers but also accurately distinguish bot accounts and troll accounts, increasing the accuracy of detecting TG account status to 98%. At the same time, it supports custom detection rules. Enterprises can set exclusive conditions such as "speaking in groups in the past 15 days" and "clicking on industry links" according to industry characteristics to further improve detection pertinence.

V. Practical Case: Detecting TG Account Status Increases Marketing Conversion Rate by 3.8 Times

• Previous Dilemma: It invested 50,000 yuan in TG marketing every month and pushed product information to 80,000 TG accounts, but the conversion rate was only 0.8%. The team repeatedly optimized the copy but achieved no results. It was not until they used ITG Global Screening to detect TG account status that they found that among the 80,000 accounts, 45,000 were empty numbers or bot accounts, and the real valid accounts accounted for less than 50%. A large amount of expenses was wasted on invalid resources.
• Core Actions: They used ITG Global Screening to conduct in-depth detection of 80,000 TG accounts, screened out 32,000 high-quality accounts based on the "activity + authenticity" dimensions, and eliminated 58,000 invalid and high-risk accounts; then, according to the detection report, they pushed "new product discounts + exclusive customer service" to high-quality accounts and "product evaluation invitations" to potential accounts.

VI. Conclusion: Detecting TG Account Status Is the "First Line of Defense" for TG Operations