Best practices for Web3 user screening: Blockchain data filtering empowers precision marketing.

The cloud control system offers both self-screening and proxy filtering modes to meet the needs of diverse scenarios, enabling efficient bulk account management and targeted promotion.

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.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.