VNPay number filtering technology: An innovative approach to ensuring digital payment security

The system supports user activity filtering, online filtering, and time-of-use filtering, enabling operations teams to understand account activity patterns and deliver targeted advertising. The cloud control system offers both self-screening and proxy screening modes to meet the needs of various scenarios and enable efficient bulk account management.

In the digital marketing wave of 2025, WhatsApp filtering became an essential lesson I couldn't avoid. With over 2 billion WhatsApp users worldwide, accurate WhatsApp filtering directly determined the effectiveness of my promotions.Initially, I thought it was just a simple task of filtering phone numbers, but I ended up taking a lot of detours.

From blind optimism based on "format" to the inefficient and torturous process of manually dialing, and then to discovering the power of ITG's global filtering tool, I finally figured out an efficient method for filtering WhatsApp numbers.This article will share my experience and guide you through the latest WhatsApp number filtering strategy for 2025, with the core tool being ITG full-domain filtering.When I first started screening WhatsApp numbers, I naively thought that as long as the number format "looked right," it was a good number.

This made me realize that the first step in WhatsApp's number screening process is not format calibration, but rather having a scientific verification system.Manual verification is suitable for small-scale testing, but when faced with a database of 100,000+ phone numbers, it's simply asking for trouble.

This tool has completely changed the way I work, not only boosting my efficiency but also making the screening results incredibly accurate.

With over 3 billion WhatsApp users, accurate WhatsApp number filtering is not only key to improving conversion rates, but also an essential means to avoid wasting resources and compliance risks.Is filtering through a large number of accounts complex? The system combines age, gender, activity level, and online time to precisely target users across multiple dimensions, improving social media operation efficiency.

Want more targeted advertising? The system uses both boot-up and online screening to identify patterns among high-activity potential users in real time and optimize promotion strategies.Is social media promotion conversions poor? The cloud control platform filters high-activity potential users by profile picture, nickname, age, and gender, enabling targeted marketing.

Is promoting across international social platforms difficult? The system generates mobile phone numbers from India, Japan, Mexico, and the United States, and combines them with account activity to precisely reach potential customers.Want to reduce interference from low-activity accounts? The system automatically removes unused and unusual accounts, and uses a fine-grained filtering mode to ensure clean promotional data and efficient operations.