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Number filtering technology helps GCash improve the user payment experience and security.

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Having a low hit rate on social media advertising? The system uses interaction frequency and device status to precisely target high-value users, ensuring every campaign is highly effective.

WhatsApp numbers obtained through third-party procurement, social media customer acquisition, trade show collection, etc., often contain a large number of invalid resources - empty numbers, suspended numbers, canceled accounts, or even virtual numbers specifically used for bulk registration (such as Google Voice numbers in the United States and temporary mobile phone numbers in India).According to industry data from 2025, the average inefficiency of WhatsApp numbers worldwide reached 52%, and even exceeded 60% in some emerging markets (such as Southeast Asia).

Number filtering technology helps GCash improve the user payment experience and security.

If marketing content is sent directly without prior screening through the WhatsApp screening platform, it will not only waste SMS fees, API call fees, and manual operation costs, but will also trigger WhatsApp's risk control rules due to "frequently sending messages to invalid numbers," resulting in the marketing account having its sending function restricted and affecting the overall promotion plan.In 2025, WhatsApp marketing for businesses will largely target global markets, but significant differences exist in number rules and user habits across different regions: US numbers begin with "+1," and users are more concerned with "privacy and instant response."The core of precision marketing in 2025 is "sending the right content to the right people," but traditional screening methods can only determine "whether the number is registered on WhatsApp," and cannot obtain user tags such as age, gender, interests, and active time periods.

Number filtering technology helps GCash improve the user payment experience and security.

For example, when promoting maternity and baby products in the European market, if you cannot filter out users who are "women aged 25-35 + highly active + interested in maternity and baby topics", you can only target them indiscriminately, resulting in poor conversion rates.By accurately targeting specific demographics through WhatsApp's screening platform, conversion rates can be increased by 8-10 times, which is also the key to enabling leading companies to achieve "low cost and high conversion" in 2025.

Number filtering technology helps GCash improve the user payment experience and security.

As a professional WhatsApp screening platform, ITG's comprehensive screening solution has become a powerful tool for precision marketing in 2025 because it focuses on four key dimensions: accurate identification, global adaptation, tag empowerment, and efficient implementation. This comprehensive solution perfectly addresses the aforementioned pain points.

ITG's global screening breaks through the limitations of traditional methods that only verify registration status. It can perform multi-dimensional status assessments on global phone numbers, increasing the accuracy of the WhatsApp screening platform to 98%.Having low conversion rates from social media campaigns? The cloud-based control platform uses multi-dimensional filtering based on profile pictures, nicknames, age, and gender to precisely target potential users and enhance marketing effectiveness.

Sufficient cross-platform operations? The system centrally manages Telegram, WhatsApp, LinkedIn, and Facebook accounts for efficient multi-platform management.Want to precisely target your ads? The system offers customized and detailed screening modes to filter target customers by age, gender, interaction frequency, and online time.

Finding difficulty in batch exporting across multiple platforms? The cloud control system supports one-click export of screening results, enabling efficient management across Telegram, WhatsApp, Facebook, and LinkedIn.Is social media marketing difficult to accurately target? The cloud control system filters potential users based on interaction frequency and online time, ensuring precise coverage of high-value customers.

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