No One Responds to Your WhatsApp Pushes? Use the Right Screening Tool to Target Highly Active Customers—Interaction Rate Soars to 20%!

I. Why No One Responds to WhatsApp Pushes? 3 Core Reasons Point to "Inactive Customers"

Reason 1: High Proportion of Inactive Customers—Pushes Are Like "Talking to the Air"

• Current Situation: Among WhatsApp numbers purchased from third-party channels, "inactive customers" (no login or interaction in 90 days) generally account for over 40%. These customers either never see the push content or do not respond even if they see it.
• Data Support: A cross-border e-commerce enterprise sent new product information to 100,000 numbers. Subsequent WhatsApp number screening revealed that 42,000 of these were inactive customers, with an interaction rate of 0.3%—dragging the overall interaction rate down to 4.5%.
• Typical Case: A small clothing store did not conduct WhatsApp number screening. Inactive customers accounted for 38% of its customer pool. It sent pushes 5 times a month, with an average interaction rate of only 3.2%. The owner once suspected the content was not attractive enough.
  
  

Reason 2: Mismatched Customer Needs—Even Highly Active Customers Won’t Interact

• Misconception: Even if you screen out highly active customers, if their needs do not match the push content (e.g., sending 3C electronics promotions to highly active customers focused on maternal and child products), the interaction rate will still be low.
• Data Comparison: The average interaction rate of highly active customers with matching needs is 15%-20%; for those with mismatched needs, it is only 2%-3%—a gap of over 7 times.
• Real Situation: A home goods enterprise did not screen for needs and sent new product pushes to "highly active but non-home goods demand" customers, resulting in an interaction rate of only 2.8%. After subsequent demand matching via WhatsApp number screening, the interaction rate increased to 18.5%.
  
  

Reason 3: High-Risk Customers Sneak In—Triggering Platform Restrictions

• Hidden Risk: Failing to use WhatsApp number screening to eliminate high-risk customers (e.g., virtual numbers, reported accounts) can trigger WhatsApp risk control when sending pushes. This leads to push restrictions, and even highly active customers may not receive the messages.
• Consequence: A foreign trade enterprise sent pushes to a list containing 15% high-risk customers. Within a week, the push reach rate dropped from 80% to 40%, and the interaction rate of highly active customers fell from 12% to 5%.
• Data Reference: Enterprises that do not eliminate high-risk customers have a WhatsApp push restriction rate of over 30%, while those that conduct WhatsApp number screening see the rate drop to below 5%.
  
  
  

II. Core Value of WhatsApp Number Screening: Targeting Highly Active Customers to Lay the Foundation for High Interaction Rates

Value 1: Eliminate Inactive Customers to Improve "Effective Coverage" of Pushes

• Principle: Use a WhatsApp number screening tool (such as ITG Global Screening) to identify highly active customers (logged in ≥3 times in 7 days, with interaction records in 30 days) and eliminate inactive customers.
• Result: A cross-border 3C enterprise used WhatsApp number screening to eliminate 32,000 inactive customers from 80,000 numbers. Its effectively covered customers increased from 48,000 to 65,000 (with 17,000 new highly active customers added), and the push open rate rose from 8% to 25%.
• Key Data: After eliminating inactive customers, the "effective reach base" of pushes becomes more accurate, providing a stronger foundation for improving interaction rates.
  
  

Value 2: Match Customer Needs—Make Highly Active Customers "Willing to Interact"

• Logic: While screening for highly active customers, use WhatsApp number screening to extract customer demand tags (e.g., "3C needs," "maternal and child needs") to ensure push content aligns with customer interests.
• Case: A beauty brand used WhatsApp number screening to target 23,000 "highly active + beauty demand" customers and sent "new lipstick swatch" content. The interaction rate reached 19.2%—far higher than the 4.5% when needs were not matched.
• Core Conclusion: High activity is the "foundation," and demand matching is the "catalyst." Only the combination of both can make the interaction rate soar.
  
  

Value 3: Eliminate High-Risk Customers—Ensure Pushes "Reach Smoothly"

• Function: Use WhatsApp number screening to identify high-risk customers such as virtual numbers and reported accounts. This avoids triggering risk control when sending pushes, ensuring highly active customers can receive messages normally.
• Data Comparison: Enterprises that do not eliminate high-risk customers have an average push reach rate of 60%; those that conduct WhatsApp number screening have an average reach rate of 90%—a 50% increase in the message reception rate of highly active customers.
• Practical Impact: A SaaS enterprise used WhatsApp number screening to eliminate 12,000 high-risk customers. Its push reach rate increased from 55% to 92%, and the interaction rate of highly active customers rose from 7% to 16%.
  
  
  

III. ITG Global Screening (WhatsApp Number Screening Tool): 3 Steps to Target Highly Active Customers—Interaction Rate Soars to 20%

Step 1: Screen Highly Active Customers—Define the Group "Willing to Read"

• Set Activity Screening Criteria:
  • Login Frequency: Check "logged in ≥3 times in 7 days (highly active)" and "logged in 1-2 times in 7 days (moderately active)"—prioritize highly active customers.
  • Interaction Depth: Check "≥4 interactions in 30 days (including message replies, link clicks, group chat messages)"—these customers have stronger willingness to interact.
  • Content Attention: Check "clicked product links in 15 days" to ensure customers have basic attention to the product.
• Efficiency Advantage: Screening 10,000 numbers takes only 10 minutes, and 100,000 numbers can be processed within 2 hours—far faster than the manual speed of 3 people/day.
• Case Result: A home goods enterprise used this step to screen 18,000 highly active customers from 50,000 numbers. It sent "home decoration tips" content, achieving an open rate of 32% and laying the foundation for a high interaction rate.
  
  

Step 2: Match Demand Tags—Make Push Content "Hit Interests"

• Extract Demand Tags:
  • Industry Demand Tags: Analyze WhatsApp groups joined by customers and topics of followed channels to generate tags such as "3C electronics," "maternal and child care," and "cross-border procurement."
  • Consumption Tendency Tags: Mark tendencies like "price-sensitive," "quality-focused," and "immediate procurement" based on customer interaction content (e.g., "inquiring about prices," "asking about product functions").
  • Scenario Demand Tags: Combine the customer’s region and season to generate scenario-based tags such as "summer sun protection needs" and "holiday gift needs."
• Examples of Precise Pushes:
  • Send "limited-time discounts on cost-effective headphones" to "highly active + 3C needs + price-sensitive" customers.
  • Send "quality inspection reports for imported maternal and child products" to "highly active + maternal and child needs + quality-focused" customers.
• Practical Result: A maternal and child enterprise achieved an interaction rate increase from 8% to 21.5% and a reply rate of 12% through demand matching.
  
  

Step 3: Eliminate High-Risk Customers—Ensure Pushes "Reach Smoothly"

• Types of High-Risk Customers and Screening Logic:
  • Virtual Numbers: Identify virtual number segments such as Google Voice and TextNow—these are mostly batch-registered with no real users.
  • Reported Accounts: Connect to desensitized WhatsApp data to mark accounts reported ≥2 times in 90 days.
  • Banned-Associated Accounts: Identify accounts linked to devices or IPs of banned accounts to avoid affecting pushes.
• Operation Steps: Check "eliminate virtual numbers," "eliminate reported accounts," and "eliminate banned-associated accounts" in the ITG backend—the system completes screening automatically.
• Data Improvement: A foreign trade enterprise eliminated 8,000 high-risk customers through this step. Its push reach rate increased from 60% to 93%, and the interaction rate of highly active customers rose from 10% to 18.8%.
  
  
  

IV. Practical Cases: 2 Enterprises Used ITG for WhatsApp Number Screening—Interaction Rate Soared to Over 20%

(I) Cross-Border E-Commerce Enterprise A (Clothing Category): Interaction Rate Increased from 4.5% to 22.3%

• Previous Dilemma:
  • 100,000 numbers in the customer pool, with 42% inactive customers and 25% customers with mismatched needs.
  • Sent 4 pushes monthly, with an average interaction rate of 4.5% and a reply rate of 2.1%. Participation rate in promotional activities was less than 3%.
• WhatsApp Number Screening Actions:
  • Used ITG to screen 33,000 highly active customers matching "logged in ≥3 times in 7 days + ≥3 interactions in 30 days."
  • Extracted "clothing needs + fashion focus" tags to match push content.
  • Eliminated 5,000 virtual numbers and reported accounts.
• Results:
  • Push open rate increased from 8% to 35%, and interaction rate rose from 4.5% to 22.3%.
  • Participation rate in promotional activities increased from 2.8% to 15.6%, and monthly sales grew by 60%.
    
    

(II) Foreign Trade Enterprise B (Mechanical Parts Category): Interaction Rate Increased from 6% to 19.8%

• Previous Dilemma:
  • Manually screened highly active customers, processing only 20,000 numbers monthly—low efficiency and high omission rate.
  • Sending pushes to high-risk customers caused restrictions; the message reception rate of highly active customers was only 55%, with an interaction rate of 6%.
• WhatsApp Number Screening Actions:
  • Used ITG to batch screen 15,000 highly active customers matching "logged in ≥5 times in 30 days + clicked mechanical parts links."
  • Extracted "industrial procurement needs + immediate inquiry tendency" tags and sent "product parameters + quotation sheets."
  • Eliminated 3,000 banned-associated accounts to ensure push reach.
• Results:
  • Screening efficiency increased from 20,000 numbers/month to 100,000 numbers/month, saving 70% of labor costs.
  • Push reach rate increased from 55% to 92%, and interaction rate rose from 6% to 19.8%. Inquiry volume grew by 230%.
    
    
    

V. Pitfall Avoidance Guide: 5 Keys to Improving Interaction Rate with WhatsApp Number Screening

1. Do Not Only Focus on "Login Frequency" and Ignore "Interaction Depth"

2. Do Not Skip "Demand Matching" and Only Screen Highly Active Customers

3. Do Not Replace Professional WhatsApp Number Screening Tools with "Basic Tools"

4. Do Not Screen "Only Once"—Update the Highly Active Customer List Regularly

5. Do Not "Over-Push" to Avoid Annoying Highly Active Customers

VI. Conclusion: WhatsApp Number Screening Is the "Core Code" for Soaring Interaction Rates