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WhatsApp Filter Mining and Filtering User Information

Time:2024-06-24 23:18:11  Source:www.crownsoft007.com

In today's era of information overload, effectively mining and filtering business opportunities from massive data sets is a significant challenge faced by every marketer. WhatsApp, as a widely-used social platform with high user engagement and extensive reach, is favored by many marketers. If we can effectively filter potential users from such a large user base, it can significantly enhance our marketing efficiency.

WhatsApp Filter

"Crownsoft WhatsApp Filter" is designed specifically for filtering in WhatsApp marketing, providing a comprehensive set of data mining and filtering functionalities. The software supports custom number generation and references global number generation standards, enabling marketers to generate target customer numbers based on diverse market demands.

Regarding user information retrieval, the software allows for manual QR code scanning to log into WhatsApp, facilitating automated retrieval of user avatars and personal signatures. Utilizing its built-in avatar recognition feature, Crownsoft WhatsApp Filter can also identify user age, gender, language preferences based on signatures, and objects within avatars, providing data support for crafting precise marketing strategies.

The software offers various categorization criteria, including WhatsApp registration status, presence of a profile picture, gender, age, etc., assisting marketers in quickly categorizing the overall list of target customers post-filtering. Finally, filtered results can be exported into multiple file formats for subsequent analysis and processing.

CrownSoft WhatsApp Filter enables users to scan QR codes to log into their WhatsApp accounts, batch-import channel or hash accounts for filtering, utilize WhatsApp permissions to filter registered phone numbers, and assess gender and age based on WhatsApp avatars. After filtering, users can export files in .txt, .xls, .xlsx, or .vcf formats.

Keywords: WhatsApp Filter


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