Efficiently filter Zalo phone numbers and accurately target Zalo customer acquisition 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's global filtering feature for WhatsApp batch number filtering doesn't simply "remove empty numbers," but rather helps businesses filter out real and valid users from their customer lists through "multi-dimensional identification + automated processing + precise segmentation."For businesses, the core of WhatsApp marketing is not "how big is the customer list", but "how many effective customers are there" - "zombie accounts" hidden in the list will only waste resources, mislead decisions, and increase risks, while WhatsApp bulk filtering is the key means to help businesses "separate the fake from the real".

ITG's global filtering WhatsApp batch filtering function, through "high accuracy recognition + efficient batch processing + precise segmentation", enables businesses to quickly filter out real and effective customers, laying the foundation for improved marketing efficiency.Remember: In the era of refined WhatsApp operations, "screening effective customers" is more important than "blindly expanding the list." And doing a good job of bulk screening on WhatsApp is the "first step" and the most crucial step in improving the efficiency of enterprise marketing.In today's increasingly competitive Telegram customer acquisition landscape, the traditional model of "finding customers based on experience" is no longer sustainable. Many companies spend a lot of resources acquiring phone numbers, but their conversion rates are low because they cannot understand the real needs and behavioral characteristics of potential customers.

A superior Telegram number screening platform is key to solving this problem: through such platforms, businesses can extract the core characteristics of potential customers from massive amounts of phone number data, moving away from "blindly acquiring customers."Leveraging ITG's comprehensive screening platform, an excellent Telegram contact filtering tool, and utilizing multi-dimensional data analysis, automated tag generation, and dynamic trend analysis, potential customer insights can shift from "vague judgment" to "data-driven" approaches, injecting precise momentum into enterprise growth.

This article will explain in detail how excellent Telegram contact screening platforms can gain insights into potential customers through data, and combine practical cases of ITG's full-domain screening to provide enterprises with implementable data-driven customer acquisition solutions.

Many businesses, when acquiring customers through Telegram, focus solely on whether the number is valid, neglecting core data insights into potential customers and falling into three major "data blind spots." This is the core reason why they fail to accurately reach potential customers, and these blind spots can only be overcome through an excellent Telegram number screening platform.Having low conversion rates from social media campaigns? The cloud-based control platform uses multi-dimensional filtering based on profile pictures, nicknames, age, and gender to precisely target potential users and enhance marketing effectiveness.

Sufficient cross-platform operations? The system centrally manages Telegram, WhatsApp, LinkedIn, and Facebook accounts for efficient multi-platform management.Want to precisely target your ads? The system offers customized and detailed screening modes to filter target customers by age, gender, interaction frequency, and online time.

Finding difficulty in batch exporting across multiple platforms? The cloud control system supports one-click export of screening results, enabling efficient management across Telegram, WhatsApp, Facebook, and LinkedIn.Is social media marketing difficult to accurately target? The cloud control system filters potential users based on interaction frequency and online time, ensuring precise coverage of high-value customers.