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Since LinkedIn does not focus on localization factors in various countries, non-English user experience is often poor. Coupled with the nature of its platform, LinkedIn users are mostly from high-income countries with high Internet maturity and good average English skills, accounting for 56% of the total users, which will be twice that of Facebook. In Taiwan, LinkedIn users have similar distribution and curves in age and growth as neighboring countries (Japan, South Korea, and Singapore), and young people from millennials (24~39) are their main user groups.
Therefore, LinkedIn's user quality is relatively high-quality, and they are basically white-collar workers, with relatively stable careers and high cultural level. Such users have certain consumption advantages.
So how to get Linkedln users?
The first step is how to obtain a large amount of user data. There are two general sources of data, and the first is to purchase data. Another type is number segment generation (using the global number generation tool to quickly generate high-quality number segment numbers. Please contact customer service to use the tool).
The second step is that after obtaining a large amount of data, you must first filter and filter. Basically, the market is filtering empty numbers, but high-quality users cannot be screened out. Use the global mobile phone number filtering filtering detection and filtering tool to allow you to easily filter out high-quality LinkedIn users.
What is the global mobile phone number filtering filtering detection and filtering tool, and how to filter out high-quality LinkedLn users?
Use global mobile phone number screening filtering detection and screening, and support quick query and detection of 17 global social app accounts to open mobile phone numbers, gathering global platforms such as Line, WhatsApp, Zalo, Facebook, Twitter, LinkedIn, Instagram, Telegram, Microsoft, Signal, Viber, Skype, Amazon, KakaoTalk, Snapchat, Wish, etc. to check data in multiple dimensions, and can query precise tags such as activated, active in the past three days, age, and gender.
The low cost and high accuracy screening scheme is as follows
For example, if a user has 10,000 pieces of original data, the first step is to query and filter out WhatsAPP, and filter out 5,000 users who have enabled WhatsAPP, and then use these 5,000 pieces of data to query and filter out users who have enabled LinkedIn, and finally obtain 3,000 users who have enabled WS.
Many customers may have questions when they see this, why am I a LinkedIn user, and why should I first query and activate WhatsAPP? Isn't it a waste of my inquiry?
LinkedIn Linkedln drainage and add fans, WhatsAPP mass sending, SMS marketing mass sending, global mobile phone number screening filter detection and screening tool, number screening system, filtering Linkedln, global number generation tool, filtering active users, filtering gender, filtering age, filtering empty numbers, etc. Contact customer service to learn more.
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