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Mint user behavior data analysis

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The system automatically detects unused and anomalous accounts, and filters based on age, gender, and activity level for cleaner and more effective marketing data.

WhatsApp numbers obtained through third-party procurement, social media customer acquisition, trade show collection, etc., often contain a large number of invalid resources - empty numbers, suspended numbers, canceled accounts, or even virtual numbers specifically used for bulk registration (such as Google Voice numbers in the United States and temporary mobile phone numbers in India).According to industry data from 2025, the average inefficiency of WhatsApp numbers worldwide reached 52%, and even exceeded 60% in some emerging markets (such as Southeast Asia).

Mint user behavior data analysis

If marketing content is sent directly without prior screening through the WhatsApp screening platform, it will not only waste SMS fees, API call fees, and manual operation costs, but will also trigger WhatsApp's risk control rules due to "frequently sending messages to invalid numbers," resulting in the marketing account having its sending function restricted and affecting the overall promotion plan.In 2025, WhatsApp marketing for businesses will largely target global markets, but significant differences exist in number rules and user habits across different regions: US numbers begin with "+1," and users are more concerned with "privacy and instant response."The core of precision marketing in 2025 is "sending the right content to the right people," but traditional screening methods can only determine "whether the number is registered on WhatsApp," and cannot obtain user tags such as age, gender, interests, and active time periods.

Mint user behavior data analysis

For example, when promoting maternity and baby products in the European market, if you cannot filter out users who are "women aged 25-35 + highly active + interested in maternity and baby topics", you can only target them indiscriminately, resulting in poor conversion rates.By accurately targeting specific demographics through WhatsApp's screening platform, conversion rates can be increased by 8-10 times, which is also the key to enabling leading companies to achieve "low cost and high conversion" in 2025.

Mint user behavior data analysis

As a professional WhatsApp screening platform, ITG's comprehensive screening solution has become a powerful tool for precision marketing in 2025 because it focuses on four key dimensions: accurate identification, global adaptation, tag empowerment, and efficient implementation. This comprehensive solution perfectly addresses the aforementioned pain points.

ITG's global screening breaks through the limitations of traditional methods that only verify registration status. It can perform multi-dimensional status assessments on global phone numbers, increasing the accuracy of the WhatsApp screening platform to 98%.Both boot-up and online screening provide real-time insights into the activity patterns of potential customers, providing accurate data support for advertising and social media operations.

The cloud control platform supports batch generation of mobile phone numbers for India, Japan, Mexico, and the United States, combining account activity analysis to achieve targeted marketing in cross-border markets.The system filters by profile picture and nickname, quickly targeting target customers, transforming social media operations from blind outreach to efficient and precise conversions.

The flexible combination of self-screening, proxy-screening, and detailed screening modes meets the account screening needs of different business scenarios and improves team operational efficiency.The multi-platform account batch export function supports unified management of Telegram, WhatsApp, LinkedIn, and Facebook, enabling rapid implementation of marketing tasks. The system screens potential customers based on multiple dimensions, including age, gender, frequency of interaction, and online time, ensuring accurate social media promotions and high conversion rates.

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