In WhatsApp (WS) marketing, many businesses fall into the dilemma of "blind pushing"—they can’t tell if a customer is a student or a corporate buyer, nor do they know if customers care about low prices or quality. They can only send content based on guesswork, resulting in an open rate of less than 10% and a conversion rate that stays below 2% year-round. However, professional WhatsApp number screening software is the key to solving this ambiguity in customer needs: through it, businesses can automatically extract customers’ demand tags and accurately grasp their preferences. With ITG Global Screening—a dedicated WhatsApp number screening software—businesses can even achieve end-to-end empowerment covering "multi-dimensional tag extraction → demand stratification → precise pushing." This aligns push content closely with customer needs, directly skyrocketing conversion rates. Starting from the marketing pain point of ambiguous customer needs, this article will explain in detail how ITG Global Screening helps businesses gain insights into WhatsApp customers’ needs through tag extraction, putting an end to ineffective pushes for good.
Many businesses do not use WhatsApp number screening software to extract customer tags and only judge needs based on experience, leading to severe waste of marketing resources and 3 key dilemmas:
- Typical Scenario: Pushing high-end European and American products to Southeast Asian customers who prefer low prices, or promoting maternity products for 40-year-olds to 20-year-old students—content is completely disconnected from customer needs.
- Data Cost: Without demand tag extraction, the average open rate of WhatsApp messages is only 8%-12%, 3-4 times lower than pushes with tag-based targeting.
- Real Case: A cross-border clothing business did not use WhatsApp number screening software and sent a uniform "high-end down jacket" message to 100,000 customers, resulting in a mere 9% open rate. Later, using ITG to extract tags, it discovered that 60% of customers were from tropical Southeast Asian regions, who had no need for down jackets at all.
- Operational Mistake: Lumping "high-intent procurement customers" with "low-interest browsing customers"—sending basic product introductions to high-intent customers and frequent promotions to low-interest ones, leading to the loss of high-value customers.
- Conversion Loss: Without stratification, the conversion rate of high-intent customers is only 3%-5%, 6-8 times lower than that after precise stratification.
- Data Reference: Businesses that extract tags and stratify customers using WhatsApp number screening software achieve an average conversion rate of 12%-15% for high-intent customers, far above the industry average.
- Cost Black Hole: Pushing content to uninterested customers wastes push costs of 0.1-0.3 yuan per message and diverts customer service energy to handling invalid inquiries.
- Cost Comparison: Without WhatsApp number screening software, businesses’ average CAC is 80-120 yuan; with tag-based precise pushing, this cost can drop to 30-50 yuan, a reduction of over 50%.
- Case: A home goods business did not extract customer tags, spending 20,000 yuan monthly on pushes but only acquiring 200 valid customers (CAC = 100 yuan). After using ITG to screen tags, it spent 12,000 yuan monthly and acquired 400 valid customers, cutting CAC to 30 yuan.
As a professional WhatsApp number screening software, ITG Global Screening goes beyond the traditional limitation of "only screening valid numbers." It extracts customer tags across four dimensions—"basic attributes, demand preferences, behavioral characteristics, and consumption potential"—helping businesses gain a comprehensive understanding of customer needs:
ITG automatically extracts customers’ basic attributes from WhatsApp account information and platform data, laying the foundation for judging needs:
- Core Tags: Region (down to city level), age (18-25, 26-35, etc.), gender, device type (iOS/Android).
- Extraction Logic: Judges gender and age through profile pictures, nicknames, and signature language (e.g., nicknames containing "mom" are often females aged 25-35); locates regions using login IP.
- Application Value: Push high-end cosmetics to "New York, USA + females aged 26-35," and cost-effective 3C products to "Delhi, India + males aged 18-25." Matching basic attributes makes demand judgment more accurate.
A beauty brand used ITG to extract basic attribute tags and pushed high-end lipsticks to "Europe + females aged 25-35." Its open rate rose from 10% to 35%, and conversion rate increased by 3.5x.
This is the core capability of WhatsApp number screening software. Through multi-dimensional analysis, ITG extracts customers’ core demand preferences:
- Interest Tags: Analyzes WhatsApp channels followed and group chat topics joined by customers to generate tags like "cross-border e-commerce procurement," "maternity and childcare," and "outdoor sports."
- Product Demand Tags: Generates precise tags such as "needs 3C accessories" or "needs home storage" based on customers’ historical interaction records (e.g., clicked product links, consulted functions).
- Price Preference Tags: Marks tags like "price-sensitive," "mid-range cost-effectiveness," or "high-end quality" based on the price range customers inquire about and the product grades they browse.
A cross-border 3C business used ITG to extract demand tags and found that 30% of customers cared about "wireless headphone battery life." It then pushed "long-battery-life wireless headphones," boosting conversion rate from 2% to 18%—an amazing result.
ITG extracts behavioral characteristic tags from customers’ WhatsApp activity data, helping businesses determine if a customer is in the "awareness stage," "consideration stage," or "decision stage" and match corresponding push strategies:
- Awareness Stage Tag: Customers who followed relevant channels for the first time in 30 days and only browsed without interaction—push "product popular science and industry information."
- Consideration Stage Tag: Customers who clicked product links multiple times and consulted basic functions in 7 days—push "product comparisons and customer reviews."
- Decision Stage Tag: Customers who inquired about prices and after-sales policies in 3 days—push "limited-time discounts and exclusive offers."
A SaaS company used behavioral tags to stratify customers and pushed "1-year subscription + 3 months free" to decision-stage customers. Its conversion rate rose from 5% to 22%, far above the industry average.
ITG comprehensively evaluates and extracts customers’ consumption potential tags through multi-dimensional data, helping businesses prioritize investment in high-value customers:
- Consumption Power Tags: Marks "high consumption potential" or "mid consumption potential" by combining regional consumption levels and device prices (e.g., iOS users are mostly mid-to-high-end consumers).
- Repurchase Potential Tags: Marks "high repurchase tendency" or "low repurchase tendency" based on customers’ historical purchase frequency and interaction loyalty.
- Recommendation Value Tags: Judges if customers have referral potential (e.g., active in multiple industry groups) and marks "high recommendation value."
A maternity brand used ITG to extract consumption potential tags and prioritized serving "high consumption potential + high repurchase tendency" customers. The lifetime value of these customers was 3x that of ordinary customers, and marketing ROI increased by 200%.
Businesses can use ITG Global Screening (WhatsApp number screening software) to extract customer tags without complex operations. In 3 steps, they can shift from "ambiguous needs" to "precise pushing":
- Preparation: Organize the WhatsApp customer numbers to be analyzed into Excel/CSV format (including country codes); no additional data sorting is needed.
- Launch Extraction: Log in to the ITG backend, enter the "Tag Extraction" module, upload the customer list, and check the tag dimensions to be extracted (basic attributes, demand preferences, behavioral characteristics, consumption potential).
- Efficiency Advantage: Extracting tags for 100,000 customer entries takes only 2-3 hours, and the system runs automatically in the background. A notification will be sent via email upon completion.
A cross-border e-commerce business uploaded 50,000 WhatsApp customer entries and obtained complete tags in 2.5 hours—no manual intervention was required, saving 3 people 3 days of manual sorting time.
ITG generates a "Customer Demand Tag Report," allowing businesses to quickly grasp the distribution of customer needs:
- Key Data to Review:
- Demand preference distribution: e.g., "40% need 3C products, 30% need home goods, 30% need maternity products."
- Behavioral stage distribution: e.g., "50% in awareness stage, 30% in consideration stage, 20% in decision stage."
- High-value customer ratio: e.g., "15% of customers have high consumption potential—focus investment on them."
- Demand Insight Conclusions: The report automatically generates demand insights (e.g., "US customers care more about quality, while Indian customers care more about cost-effectiveness") to guide push strategies.
Develop differentiated push strategies based on the tag report to "send the right content to the right customers":
- Push "cost-effective 3C products + limited-time discounts" to "3C product needs + price-sensitive" customers.
- Push "high-end home goods + eco-friendly material introductions" to "home goods needs + quality-focused" customers.
- Case: A home goods business pushed content this way, increasing its open rate from 12% to 45% and conversion rate by 3.75x.
- Push "industry whitepapers + product science videos" to "awareness stage" customers.
- Push "exclusive discount codes + after-sales guarantees" to "decision stage" customers.
- Result: A SaaS company pushed content by stage, raising the conversion rate of decision-stage customers from 8% to 25%—a significant improvement.
- Provide 1-on-1 exclusive consulting services to "high consumption potential" customers.
- Push "member points double" events to "high repurchase tendency" customers.
- Data: A beauty brand used this strategy to increase the repurchase rate of high-value customers from 20% to 50% and grow per-customer revenue by 150%.
- Ambiguous Needs: Unaware of what products customers cared about, it sent a uniform "phone accessories" message to 100,000 customers—open rate was only 9%, conversion rate 1.5%.
- High Costs: Monthly push costs were 18,000 yuan, but only 150 valid customers were acquired (CAC = 120 yuan).
- Customer Churn: High-intent customers left at a 30% rate because they did not receive targeted content.
- Tag Extraction: Extracted three core tags—"product needs (headphones/chargers/phone cases), price preferences (low/mid/high-end), and behavioral stages."
- Precise Pushing:
- Pushed "noise-canceling headphones + 10% discount" to "headphone needs + mid-range preference + decision stage" customers.
- Pushed "fast charger science + cost-effectiveness comparison" to "charger needs + low-price preference + awareness stage" customers.
- Improved Results:
- Open rate rose from 9% to 42%, conversion rate from 1.5% to 6%—a 300% surge.
- CAC dropped from 120 yuan to 35 yuan, saving 11,000 yuan monthly.
- Churn rate of high-intent customers fell from 30% to 8%, with a significant increase in customer satisfaction.
Extracting only "region" tags is insufficient. Combine "demand preferences + behavioral stages" (e.g., "US + headphone needs + decision stage")—this can improve push accuracy by 3-5x.
Customer needs evolve over time (e.g., shifting from "low-price needs" to "quality needs"). Re-extract tags monthly using WhatsApp number screening software to ensure demand insights stay up-to-date.
Free tools can only extract basic region tags, not core tags like demand preferences or behavioral characteristics. ITG Global Screening achieves a tag extraction accuracy of over 92%, far higher than the 60% of free tools.
Regularly select 10%-20% of customers for manual communication to verify tag accuracy (e.g., "Do you care about headphone products?") and feed back results to the WhatsApp number screening software to optimize algorithms.
Sync tag data to the CRM system. Customer service should provide differentiated services based on tags (e.g., prioritizing after-sales support for "high consumption potential" customers) to form a "tag extraction → pushing → service" closed loop for meeting needs.
In the era of refined WhatsApp marketing, "not knowing customer needs" has become the biggest marketing obstacle—and tag extraction by WhatsApp number screening software is the core code to solve this problem. Through multi-dimensional tag extraction, ITG Global Screening helps businesses shift from "blind pushing" to "precise matching," ensuring every push hits customers’ pain points and ultimately skyrocketing conversion rates.
Remember: The essence of marketing is "meeting customer needs," and the tag extraction function of WhatsApp number screening software is the key to helping you understand and satisfy those needs. Start extracting customer tags with ITG Global Screening now—you can launch precise marketing in 3 steps, double your WhatsApp push conversion rate, and achieve your performance growth goals soon!
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