Comprehensive Analysis of the Full Telegram Number Screening Process: From Data Collection to Precision Screening, A Step-by-Step Guide to Efficiently Acquiring Target Users

I. Step 1 of TG Number Screening: Compliant Data Collection – Lay a Solid Foundation for Screening

1. Core Requirements for Collection: Avoid "Data Contamination" at the Source

• Compliance: Adhere to TG platform rules and global privacy regulations (such as GDPR, CCPA). Only collect numbers that are "user-authorized" or "obtainable from public channels"; avoid using illegally crawled data or bulk-purchased non-compliant data.
  • Examples of compliant channels: TG numbers left by users during active registration, contact information of interested customers collected at industry exhibitions, and numbers voluntarily shared by users in public TG groups.
  • Risk warning: Illegally collected numbers are likely to trigger TG risk control, leading to the suspension of screened accounts. One enterprise had its TG marketing accounts banned within 3 days due to using non-compliant collected data, resulting in the total loss of previous investments.
• Targeting: Collect data in a targeted manner based on business goals to avoid "indiscriminate collection".
  • Example: A cross-border e-commerce platform focusing on the European and American markets prioritizes collecting numbers of "users from European and American TG groups and registered users of overseas e-commerce platforms"; a B2B foreign trade company focusing on the machinery industry collects numbers of "users following industrial TG channels and attendees of machinery exhibitions".
  • Effect: For numbers collected in a targeted way, the proportion of target users in subsequent TG number screening can increase by 40%, and screening efficiency can double.
• Authenticity: Prioritize collecting numbers "with basic information" (such as the user’s industry and demand tags) to reduce the difficulty of subsequent screening.
  • Operation: When collecting numbers, simultaneously record the "data source channel and the user’s initial needs" (e.g., "from a maternal and child TG group, needs baby clothing") to provide references for subsequent screening.
    
    

2. Recommended Efficient Collection Tools: Improve Collection Efficiency

• Compliant collection tools:
  • TG group export tools (e.g., TeleExport): Can export user numbers from public TG groups, but require authorization from group administrators.
  • Form collection tools (e.g., Google Forms, Jinsuju): Guide users to actively fill in their TG numbers through activities like "register to get free materials", ensuring authorized compliance.
• Collection efficiency: With the help of these tools, one person can collect 10,000-20,000 compliant numbers per day, which is 50 times more efficient than manual recording.
  
  
  

II. Step 2 of TG Number Screening: Data Preprocessing – Optimize Data Quality Before Screening

1. Deduplication: Eliminate Duplicate Numbers to Avoid Resource Waste

• Problem: Duplicate numbers are common during collection (e.g., the same user leaves their number on multiple channels). Sending promotions to duplicate numbers will annoy users and waste promotion resources.
• Operation:
  • Use Excel’s "Remove Duplicates" function to deduplicate based on the "TG number" field.
  • If using ITG Global Screening, the tool can automatically identify duplicate numbers without manual operation.
• Effect: One enterprise collected 50,000 numbers; after deduplication, 8,000 duplicate entries were removed, reducing subsequent promotion costs by 16%.
  
  

2. Format Standardization: Ensure Numbers Are Recognizable to Avoid Screening Omissions

• Common formatting issues: Numbers lack country codes (e.g., only "1234567890" without the U.S. code "+1") or contain special characters (e.g., "123-456-7890").
• Operation:
  • Standardize numbers to the format of "country code + pure digits" (e.g., U.S. numbers as "+11234567890", UK numbers as "+441234567890").
  • ITG Global Screening supports automatic completion of country codes and removal of special characters, improving format standardization efficiency by 90%.
• Key role: Numbers with formatting errors cannot be recognized by screening tools and will be directly judged as "invalid". Format standardization can reduce misjudgments by 30%.
  
  

3. Preliminary Labeling: Supplement Basic Information to Assist Subsequent Screening

• Operation: Based on the collection channel, label numbers with "source tags" (e.g., "maternal and child TG group", "machinery exhibition") and "initial demand tags" (e.g., "needs baby clothing", "needs machine tool procurement").
• Value: During subsequent TG number screening, labels can help quickly locate target users and reduce the difficulty of setting screening dimensions. One enterprise shortened screening time by 40% through preliminary labeling.
  
  
  

III. Step 3 of TG Number Screening: Multi-Dimensional Intelligent Screening (Core Stage) – Lock Target Users with ITG Global Screening

Dimension 1: Basic Validity Screening – Eliminate Invalid Numbers (Mandatory)

• Screening goal: Exclude "empty numbers, deactivated numbers, and numbers not registered on TG" to ensure numbers are reachable.
• ITG operation:
  • Check "Eliminate empty numbers": Connect to real-time data of global operators with an identification accuracy of 99.5%.
  • Check "Eliminate numbers not registered on TG": Verify via TG platform API and directly exclude unregistered accounts.
• Data comparison: After screening 50,000 preprocessed numbers of one enterprise, 12,000 invalid numbers were removed, and the proportion of valid numbers increased from 76% to 100%.
  
  

Dimension 2: Regional Adaptation Screening – Lock Users in Target Markets (Business-Adapted)

• Screening logic: Select regions based on business goals to avoid sending promotions to users in non-target regions (e.g., focusing on the Southeast Asian market and excluding European and American numbers).
• ITG operation:
  • Check target countries/regions in the "Regional Screening" module (e.g., "Indonesia, Malaysia, Thailand").
  • Support two-level screening of "country – city" (e.g., "Thailand – Bangkok", "Malaysia – Kuala Lumpur") for higher precision.
• Case: A Southeast Asian cross-border e-commerce platform used regional screening to increase the proportion of users in target regions from 55% to 93%, and the promotion interaction rate rose from 8% to 22%.
  
  

Dimension 3: Demand Matching Screening – Locate High-Intent Users (Core)

• Screening core: Identify high-intent users with real needs through user behaviors and tags – this is the key to the accuracy of TG number screening.
• ITG operation:
  • Group/channel matching: Enter business-related group/channel keywords (e.g., "maternal and child care groups", "machinery procurement channels") to screen users who have joined the corresponding groups.
  • Keyword interaction screening: Enter demand keywords (e.g., "baby food supplements", "machine tool quotations") to screen users whose interaction content contains these keywords.
  • Active behavior screening: Check "clicked product links in the past 30 days" and "replied to consultation messages" – the intent level of these users is 8 times higher than that of passive users.
• Effect: An online education institution used demand screening to increase the proportion of high-intent users from 35% to 89%, and the course consultation rate rose from 5% to 28%.
  
  

Dimension 4: Risk Control Security Screening – Ensure Account Stability (Necessary)

• Screening goal: Eliminate "high-risk accounts" to avoid triggering TG risk control and the suspension of marketing accounts when sending promotions to such accounts.
• ITG operation:
  • Eliminate virtual numbers: Identify virtual number segments such as Google Voice and TextNow, as these accounts are easily marked as "spam marketing accounts" by TG.
  • Eliminate reported accounts: Check the number of reports received by accounts in the past 90 days and directly exclude accounts with ≥2 reports.
  • Eliminate accounts associated with banned ones: Analyze whether the devices/IPs associated with the accounts have ban records to avoid association risks.
• Data improvement: A foreign trade enterprise used risk control screening to reduce the proportion of high-risk accounts from 18% to 3%, and the suspension rate of TG marketing accounts dropped from 35% to below 5%.
  
  
  

IV. Step 4 of TG Number Screening: Post-Screening Application – Maximize the Value of Target Users

1. Stratified Operation: Differentiated Outreach Based on Screening Results

• Stratification criteria (based on ITG screening report):
  • High-value users: Meet all dimensions (valid + target region + high demand + no risk).
  • Potential users: Lack 1 non-core dimension (e.g., valid + target region + high demand but slightly low activity).
  • To-be-activated users: Lack 2 non-core dimensions (e.g., valid + target region but with needs to be cultivated).
• Outreach strategy:
  • High-value users: Send "exclusive discounts + customized solutions" via one-on-one communication, assign dedicated customer service for follow-up, and give top priority to conversion.
  • Potential users: Send "customer cases + product advantages" and conduct 1-2 interactions per week to cultivate activity and needs.
  • To-be-activated users: Send "industry information + free benefits" (e.g., e-books, live courses) to build trust before guiding needs.
• Case: After stratified operation, a cross-border e-commerce platform achieved a 15% conversion rate for high-value users and 8% for potential users, with an overall conversion rate 2.3 times higher than that without stratification.
  
  

2. Effect Review: Analyze Screening and Operation Data to Optimize Subsequent Processes

• Core review indicators:
  • Screening effect: Proportion of target users (e.g., 25% high-value users), screening pass rate of each dimension (e.g., 70% demand screening pass rate).
  • Operation effect: Interaction rate, conversion rate, and average order value of users at each level.
• Review tools: The TG Number Screening Effect Report generated by ITG Global Screening includes data visualization charts, eliminating the need for manual statistics.
• Optimization directions: If the conversion rate of users in a certain region is low, reduce the collection of numbers from that region in the next TG number screening; if users screened by certain demand keywords have a high interaction rate, add similar keywords next time.
  
  

3. Regular Updates: Dynamically Optimize the Target User Pool

• Reason: User needs and activity change over time (e.g., potential users may become high-value users, while some users may become inactive).
• Operation: Use ITG Global Screening to re-screen the target user pool every 2-3 weeks, eliminate "inactive numbers and users with changed needs", and supplement newly collected compliant numbers.
• 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 38%.
  
  
  

V. Common Problems and Solutions in the Full TG Number Screening Process

Problem 1: Too Few Target Users After Screening?

• Reason: Overly strict screening criteria (e.g., requiring both "logged in ≥5 times in the past 7 days" and "interacted ≥10 times in the past 30 days").
• Solution: Appropriately relax non-core criteria (e.g., adjust to "logged in ≥3 times in the past 7 days" and "interacted ≥2 times in the past 30 days"). Prioritize ensuring the base of target users, then improve quality through operation.
  
  

Problem 2: Some Invalid Numbers Remain After Screening?

• Reason: Incomplete data preprocessing (e.g., failure to deduplicate or standardize formats).
• Solution: Ensure deduplication and format standardization are completed before the next TG number screening. If using ITG, enable the "automatic preprocessing" function to reduce human errors.
  
  

Problem 3: No Interaction After Sending Promotions to Target Users?

• Reason: Low demand matching (e.g., screening tags do not match users’ real needs).
• Solution: Optimize demand screening keywords and adjust tags based on user interaction content. One enterprise refined keywords from "clothing" to "women’s dresses", increasing the interaction rate by 18%.
  
  
  

VI. Conclusion: Complete TG Number Screening Process + ITG Global Screening – Efficiently Acquire Target Users