Say Goodbye to Inefficient Customer Acquisition! Reveal the Latest Telegram Number Screening Methods to Help You Precisely Target Your Audience

I. 4 Major Inefficiencies in Traditional TG Customer Acquisition: Why Is Upgrading TG Number Screening Methods Urgent?

1. Low Efficiency of Manual Screening, Time-Consuming and Labor-Intensive

• Current Situation: Traditional TG number screening relies on manual verification of account validity one by one. A single person can only screen 500 accounts per day, and 100,000 accounts would take 200 days—seriously delaying the customer acquisition process.
• Error Risk: Manual judgment on "whether an account is active or has needs" is prone to mistakes, with an error rate exceeding 25%. This results in effective target users being misjudged as low-quality users, leading to resource loss.
• Core Pain Point: Low efficiency and high error rates make it impossible to meet the needs of large-scale TG customer acquisition.
  
  

2. Only Basic Validity Screening, Poor User Quality

• Misconception: Traditional TG number screening only eliminates empty accounts and deactivated numbers, without screening key dimensions such as "needs, activity level, and region". As a result, non-target users still account for over 40% of the screened accounts.
• Case Example: A cross-border e-commerce company screened 10,000 TG accounts using traditional methods, only removing empty accounts before sending promotions. Later, it was found that 60% of the accounts belonged to "non-target region users" (the company focused on the European and American markets but had Southeast Asian users mixed in), with only 32 conversions and a conversion rate of 0.32%.
• Data Comparison: For TG customer acquisition with only basic screening, target users account for less than 30%; while with the latest screening methods, target users account for over 85%.
  
  

3. No Integration of User Behavior, Low Demand Matching

• Problem: Traditional TG number screening does not analyze user interaction behaviors (such as joined groups, posted updates, and consultation content), making it impossible to judge user needs. Promoting products to "users with no needs" results in an interaction rate of less than 5%.
• Consequence: An online education institution promoted courses to TG accounts that "did not follow education groups and had no learning interactions". The consultation rate was only 2%, the conversion cycle exceeded 30 days, and customer acquisition efficiency was extremely low.
• Key Data: TG users with matched needs have an interaction rate of 25%—5 times that of users with no needs—and the conversion cycle is shortened by 60%.
  
  

4. Ignoring Platform Risk Control Rules, High Account Security Risks

• Hidden Danger: Traditional TG number screening does not filter "high-risk accounts" (such as reported accounts and accounts associated with banned ones). Sending promotions to such accounts is likely to trigger Telegram’s platform risk control, leading to the suspension of the enterprise’s TG marketing account.
• Typical Case: A foreign trade enterprise sent promotions to a list containing 15% high-risk accounts. Within 3 days, it received 42 reports, its TG account was temporarily banned, and customer acquisition was forced to stop for 1 month.
• Security Requirement: The latest TG number screening must include risk control dimensions to ensure account security.
  
  
  

II. The Latest TG Number Screening Methods: 4 Core Dimensions to Precisely Lock Target Users

Dimension 1: Full-Scale Validity Screening — Eliminate Low-Quality and Invalid Accounts (Basic Layer)

• Screening Goal: Through ITG Global Screening, batch eliminate empty accounts, deactivated numbers, and unregistered TG accounts to ensure accounts are reachable.
• Latest Technology:
  • Connect to real-time data of global operators to verify whether an account is an "active and valid number", with an accuracy rate of 99.5%. 100,000 accounts can be screened within 1 hour.
  • Verify via Telegram platform API to determine whether a number is registered on TG. Unregistered accounts are directly eliminated to avoid sending promotions to "unreachable accounts".
• Effect: An enterprise used this dimension to screen 100,000 TG accounts, eliminating 38,000 invalid accounts, and the proportion of valid accounts increased from 62% to 100%.
  
  

Dimension 2: Precise Regional Screening — Lock Users in Target Markets (Adaptation Layer)

• Screening Logic: Combine with the enterprise’s business goals (e.g., cross-border e-commerce focusing on European and American markets, foreign trade enterprises targeting the Middle East) to screen TG users in corresponding regions.
• Latest Methods:
  • Hierarchical screening by "country - city - business district": Supports precise targeting such as "Los Angeles, California, USA - Cross-Border Procurement Business District" and "London, UK - Fashion Consumption Business District" to ensure user regions align with business goals.
  • Language adaptation screening: For multilingual markets, screen users who "can interact in target languages (e.g., English, Spanish)" to avoid language communication barriers.
• Case Example: A European and American cross-border apparel enterprise used this method for screening. The proportion of users in target regions increased from 45% to 92%, and the promotion interaction rate rose from 5% to 18%.
  
  

Dimension 3: User Behavior and Demand Screening — Match High-Intent Users (Core Layer)

• Screening Core: By analyzing TG user behaviors, identify high-intent users with needs—this is the key to the latest TG number screening methods.
• Latest Screening Indicators (Based on ITG Global Screening):
  • Group/Channel Analysis: Screen users who have joined "business-related groups" (e.g., "Cross-Border Procurement Groups", "Maternity and Child Care Groups", "3C Digital Exchange Groups") and followed "industry channels"—these users have clear needs.
  • Interaction Content Identification: Extract user interaction keywords on TG (e.g., "procurement", "place an order", "course consultation", "product parameters"). Users with high-intent keywords are prioritized.
  • Active Behavior Tracking: Screen users who "actively click on product links", "reply to consultation messages", or "save product materials". The intent level of these users is 8 times higher than that of passively reached users.
• Effect: An online education institution used this dimension for screening. The proportion of high-intent users increased from 30% to 88%, and the course consultation rate rose from 2% to 26%.
  
  

Dimension 4: Risk Control and Activity Screening — Ensure Security and Conversion (Guarantee Layer)

• Screening Goal: Eliminate high-risk accounts and lock in highly active users to ensure TG customer acquisition is safe and efficient.
• Latest Screening Directions:
  • Risk Control Screening: ITG identifies "reported accounts" (≥2 reports in the past 90 days), "accounts associated with banned ones" (sharing devices/IPs with banned accounts), and "virtual number accounts" (e.g., registered with Google Voice) to avoid triggering platform risk control.
  • Activity Screening: Screen highly active users who "logged in ≥3 times in the past 7 days" and "interacted ≥2 times in the past 30 days". These users pay more attention to TG promotions, and their conversion probability is 6 times that of low-activity users.
• Data Improvement: A foreign trade enterprise used this dimension for screening. The proportion of high-risk accounts decreased from 15% to 2%, the account ban rate dropped from 30% to 3%, and the conversion cycle for highly active users was shortened from 30 days to 12 days.
  
  
  

III. Practical Operation of ITG Global Screening: 5-Step Implementation Process for the Latest TG Number Screening Methods

1. Core Advantages of ITG Global Screening: Adapting to the Latest TG Number Screening Needs

• Batch Efficient Screening: Supports full-dimensional screening of 100,000 TG accounts within 1-2 hours, with efficiency 400 times higher than manual screening.
• Multidimensional Intelligent Identification: Automatically completes screening for "validity, region, needs, risk control, and activity" without manual intervention.
• Data Visualization: Generates a TG Number Screening Report, clearly displaying screening results across dimensions (e.g., proportion of target users, proportion of high-risk accounts) for review and optimization.
• Security and Compliance: Connects to Telegram platform rules, ensuring the screening process complies with platform requirements and avoids violation risks.
  
  

2. Specific Implementation Steps: 5 Steps to Precisely Target Audiences

Step 1: Define Target User Profiles and Set Screening Criteria

• Operation: Define target users based on business needs (e.g., "European and American regions + cross-border procurement needs + high activity + no risks"), and check the corresponding screening dimensions in the ITG backend.
• Example (Cross-Border E-Commerce):
  • Validity: Check "Eliminate empty accounts, Eliminate unregistered TG accounts".
  • Region: Select "United States, United Kingdom, Australia".
  • Needs: Enter keywords such as "cross-border procurement, apparel, home goods".
  • Risk Control: Check "Eliminate reported accounts, Eliminate virtual numbers, Eliminate accounts associated with banned ones".
  • Activity: Set "Logged in ≥3 times in the past 7 days, Interacted ≥2 times in the past 30 days".
    
    

Step 2: Upload TG Account List and Launch Screening

• Format Requirement: Organize the TG accounts to be screened into Excel/CSV format (including country codes, e.g., +11234567890).
• Operation: Log in to the ITG Global Screening backend, upload the account file, click "Start Screening", and the system will automatically execute full-dimensional screening.
• Progress Check: Real-time screening progress is displayed (e.g., "30% completed, currently matching demand keywords"), and pausing/resuming is supported.
  
  

Step 3: View the Screening Report and Analyze Results

• Report Content:
  • Screening Overview: Number of valid accounts, number of target users, screening pass rates across dimensions (e.g., 85% regional screening pass rate, 72% demand screening pass rate).
  • User Stratification: Automatically classify target users into "high-value users" (meeting all dimension requirements), "potential users" (missing 1 non-core dimension), and "to-be-activated users" (missing 2 non-core dimensions).
  • Problem Attribution: Mark specific reasons for invalid accounts and non-target users (e.g., "12% empty accounts, 8% non-target regions").
• Function: Quickly grasp screening effects and provide a basis for adjusting subsequent customer acquisition strategies.
  
  

Step 4: Export Target User List and Conduct Precise Outreach

• Export Operation: Only export the list of "high-value users + potential users". The format is compatible with TG marketing tools (e.g., TG bulk messaging software, CRM systems) and can be directly imported for use.
• Outreach Strategy:
  • High-Value Users: Send "exclusive discounts + product details" via one-on-one communication and assign dedicated customer service for follow-up.
  • Potential Users: Send "customer cases + industry information" to cultivate needs and improve activity levels.
• Case Effect: A cross-border e-commerce company exported 5,000 high-value users. After promotion, the consultation rate reached 28%, with 426 conversions and a conversion rate of 8.52%—far higher than the 0.32% of traditional customer acquisition.
  
  

Step 5: Regularly Update Screening and Optimize the Target User Pool

• Frequency Suggestion: Use ITG Global Screening to update the target user pool once every 2 weeks, eliminating users who "become low-active or have changed needs" and adding new target users.
• Optimization Logic: Adjust screening criteria based on previous outreach effects (e.g., if users with "activity ≥3 times" had good conversions, retain this criterion; if users in a certain region had poor conversions, eliminate that region next time).
• Effect: An enterprise maintained an activity rate of over 90% in its target user pool through monthly updates, and the stability of conversions increased by 35%.
  
  
  

IV. 3 Advanced Tips for the Latest TG Number Screening: Further Improve Customer Acquisition Efficiency

1. Refine Demand Screening Based on Industry Characteristics

• Operation: Focus on different demand keywords for different industries. For example, cross-border e-commerce selects "procurement, order, discount"; online education selects "course, learning, exam"; B2B foreign trade selects "quotation, parameters, cooperation".
• Effect: After industry-specific demand screening, the demand matching degree of target users increases by 40%, and the interaction rate rises by another 15%.
  
  

2. Link Cross-Platform Data to Enhance Screening Accuracy

• Operation: If users follow the brand on both Facebook and Instagram, mark them as "cross-platform users" in ITG screening. These users have higher trust, and their conversion probability is 3 times that of single-platform users.
• Method: Upload cross-platform user lists in the ITG backend. The system automatically associates and matches them, prioritizing the retention of cross-platform users.
• Value: Further lock in high-trust target users and improve conversion success rates.
  
  

3. Conduct Small-Scale Testing Before Large-Scale Screening

• Operation: Before implementing a new screening method, select 1,000 accounts for small-scale testing. Analyze the "proportion of target users and conversion effects", optimize the screening criteria, and then conduct large-scale screening.
• Advantage: Avoid large-scale resource waste due to improper screening criteria settings. After testing and optimization, the accuracy of target user identification increases by 20%.
  
  
  

V. Conclusion: The Latest TG Number Screening Methods + ITG Global Screening, Bid Farewell to Inefficient Customer Acquisition