First we need to know why the market needs such software? Because the development of foreign trade business requires increasing users from all aspects and channels. However, why do we need to filter users’ personalized signature and avatar functions? Are these really necessary?
If we just normally filter numbers to search and add them in batches, we may spend a lot of effort and energy in vain. Many other WhatsApp assistant software may filter out users only the default registrations of the App instead of actual users. Such users are of no use to us and even consume a lot of our energy and time.
Secondly, knowing the user's personality signature and avatar, we can use these vague inferences to infer the user's age, gender and location. These three data are very important for foreign trade. Understanding the age and gender of the user can help us understand more clearly whether this person is our audience and whether he is likely to become our potential user, helping us solve the meaningless workload. Furthermore, by knowing the person's signature, we can learn about the person's country based on language. Only in this way can we use appropriate language direction and some local speaking habits to bring customers closer to each other.
WhatsApp user data collection provides convenience and benefits to users as a tool to automatically screen users through avatars and personalized signatures. Enhance user experience and social effectiveness, help users find people who match their interests faster, and reduce interactions with invalid contacts. In addition, personalization and matching capabilities enable users to have a social experience that is more tailored to their needs.
digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It provides global customers with bulk numbers supporting 236 countriesScreening and testing services, currently supports more than 20 social and applications, such as:
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