The system combines age and gender screening with online time analysis to enable social media operators to quickly target core customer groups and increase conversion rates.

Customer status changes dynamically. A number that was valid last month may have been shut down this month, and a user who was active last week may have uninstalled the app this week.The manual telegraph screening process often takes days or even weeks, and by the time a marketing campaign launches, some of the original data is already outdated. This data lag directly results in a significant proportion of marketing messages failing to reach their target users.

In today's digital marketing era, accurately positioning target user groups has become the key to a company's successful customer acquisition.An efficient WhatsApp number screening system can not only significantly improve work efficiency, but also help companies accurately distinguish between male and female user groups and achieve personalized marketing.Many companies are still using manual screening, which is not only inefficient but also has many limitations.

A skilled customer service representative can only handle the screening of 200-300 numbers a day, and is prone to misjudgment due to visual fatigue in the process.When an enterprise needs to process tens of thousands of user data, manual screening methods obviously cannot meet the timeliness requirements.

As a professional WhatsApp number screening tool, ITG Global Screening is redefining the standards of the number screening industry with its excellent performance and intelligent processing capabilities.

The system will not only analyze basic data such as the user's account information and personal profile, but will also make comprehensive judgments through deep learning algorithms, combining multiple dimensions such as the user's social behavior characteristics, language usage habits, interests and hobbies.The system supports unified account management across multiple platforms, allowing for bulk filtering of social media accounts such as Telegram, WhatsApp, Facebook, and LinkedIn to maximize marketing efficiency.

Combining age, gender, and activity level filtering, the system precisely targets user groups, making social media marketing more efficient and achieving higher conversion rates.The cloud-based control system automatically removes unused and anomalous accounts to ensure clean marketing data, while also integrating interactive filtering to enhance marketing precision. The system can filter accounts by online time, device status, and interaction frequency, allowing operations teams to monitor high-value user activity in real time and optimize marketing strategies.

Batch export of filtering results allows for easy management of Telegram, WhatsApp, LinkedIn, and Facebook accounts, making teamwork more efficient and data more transparent.The cloud control system offers customized modes for flexible filtering by age, gender, activity level, and interaction frequency, meeting the marketing needs of various business scenarios.

(责任编辑：news)

• ·Avatar screening: How Digital Planet performs avatar recognition
• ·Effective LinkedIn network expansion relies on accurate LinkedIn industry screening.
• ·What are the prefixes for mobile phones in the US, Malaysia, and Singapore? Filtering global mobile numbers for cross-border e-commerce
• ·Temu Overseas Data Screening
• ·HTX Number Screening and Precision Digital Marketing Strategies
• ·MoMo cloud control
• ·VNPay data deduplication
• ·US WhatsApp Number Detection: How to Increase Accuracy to 90%?
• ·How can I batch filter the carrier names corresponding to Canadian mobile phone numbers?
• ·WhatsApp groups
• ·Zalo Customer Acquisition
• ·714 area code
• ·Facebook account security guide: How to protect your personal information? Engagement filtering: Find the users who interact most frequently with your brand.
• ·How does Truemoney use number filtering technology to improve digital marketing effectiveness?
• ·Digital Marketing Number Filtering: A Key Basis for VNPay
• ·TikTok real-time data.