Recommended WhatsApp accurate follower batch detection tools: Supports country filtering and activity identification.

Through a multi-dimensional verification mechanism, the system can accurately identify invalid phone numbers such as empty numbers, virtual numbers, and risky accounts, with an accuracy rate exceeding 99%. The system also possesses learning capabilities, continuously optimizing the identification model based on the latest data.

The system generates mobile phone numbers from different countries and filters them by age, gender, and activity level, making cross-border social media outreach more precise and quickly targeting target customer groups.By enabling filtering, online filtering, and time spent filtering, you can easily understand user activity patterns, making social media operations more intelligent and efficient.

Recommended WhatsApp accurate follower batch detection tools: Supports country filtering and activity identification.

The cloud control system supports bulk management of accounts across Telegram, WhatsApp, Facebook, LinkedIn, and more, allowing you to quickly identify high-quality user resources within a massive account pool and improve conversion efficiency.Customized and granular filtering modes are available, allowing precise filtering by age, gender, interaction frequency, and online time spent to meet the needs of different marketing strategies.The system automatically identifies unused and anomalous accounts, combining self-screening and proxy filtering to achieve data cleansing and efficient filtering, making marketing operations more effortless and hassle-free.

Recommended WhatsApp accurate follower batch detection tools: Supports country filtering and activity identification.

Supporting avatar filtering, gender filtering, and age filtering allows marketing teams to quickly identify potential customers and precisely improve the effectiveness of social media marketing. The cloud-based control system can filter accounts by power-on status and online time, providing real-time insights into highly active users and helping achieve optimal results in advertising and social media marketing.The system supports batch generation of mobile phone numbers from India, Japan, Mexico, and the United States, and combines this with social media account activity analysis to achieve targeted cross-platform marketing.

Recommended WhatsApp accurate follower batch detection tools: Supports country filtering and activity identification.

Through interactive, active, and online filtering, the system quickly identifies potential users, enabling marketing teams to more efficiently complete their marketing tasks.

The cloud-based control system offers self-screening, proxy screening, and detailed screening modes, allowing operators to flexibly choose between them and efficiently manage accounts in bulk.Quickly distinguish between invalid phone numbers, suspended phone numbers, and legitimate registered accounts, directly eliminating 100% of invalid resources and reducing cost waste by more than 50%.

Identify "risky accounts" that have been banned by WhatsApp, have received numerous reports, or have abnormal device activity, to prevent your marketing accounts from being implicated due to association with these risky accounts.It can accurately identify virtual numbers such as Google Voice and TextNow, as well as temporary registration numbers from India and Southeast Asia. The user activity rate of these numbers is less than 5%, and filtering them can significantly improve the quality of ad delivery.

ITG Global Screening, a global WhatsApp screening platform, has customized exclusive screening rules for key markets that businesses are focusing on developing by 2025, including the United States, India, Southeast Asia, and Europe.Based on the rules of different countries, the system automatically completes the country code and verifies the number length (e.g., 10 digits + country code for the United States, 10 digits + country code for India) to avoid omissions in the filtering process due to formatting errors.

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