Get area code information for various locations in South Korea to improve communication efficiency

发布时间：2025-11-04 02:17:11 来源：Introduction to iMX system counter functions, how to improve data quality with Digital Planet data filtering. 作者：news

Through intelligent filtering based on unused numbers, active status, and online time, you can easily eliminate invalid accounts, ensuring cleaner marketing data and helping operations teams accurately target potential customers. The system offers self-screening, proxy screening, and detailed filtering modes, allowing flexible filtering by profile picture, nickname, mobile number, and area code to meet the marketing needs of different business scenarios.

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).

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.

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.

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%.The cloud control system supports batch management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, and integrates interaction filtering to precisely target high-value users.

Using profile and nickname filtering, you can quickly identify potential customer groups, achieving targeted and high-ROI social media marketing.The system can filter accounts by user status and online time, providing real-time insights into the dynamics of highly active users, making advertising and social media operations more efficient.

The cloud control system supports self-screening, proxy screening, and customized modes, enabling batch screening of massive accounts and improving the efficiency of operations teams.The system combines multi-dimensional filtering based on age, gender, activity level, and interaction frequency to precisely target potential customers and enhance the effectiveness of social media marketing.

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