How to find quality LinkedIn users?

Since LinkedIn does not focus on localization factors in each country, the user experience in non-English languages is often poor. At the same time, coupled with the nature of its platform, LinkedIn's users are mostly from high-income countries with higher Internet maturity and better English proficiency, accounting for 56% of the total users, which will be twice that of Facebook. In Taiwan, LinkedIn users have a similar distribution and curve to neighboring countries (Japan, South Korea, Singapore, etc.) in terms of age and growth. Young people of the Millennial generation (24~39) are the main user group.

Therefore, the quality of LinkedIn's users is relatively high. They are basically users in white-collar industries, with relatively stable careers and high cultural levels. These users have certain consumption advantages.

So how to get LinkedIn users?

The first step is how to obtain a large amount of user data. There are two general data sources. The first is purchase data. The other is number segment generation (use the global number generation tool to quickly generate high-quality number segments. Please contact customer service to use the tool).

In the second step, after obtaining a large amount of data, you must first filter and screen. Basically, all the methods on the market screen empty numbers, but they cannot screen out high-quality users. Use the global mobile phone number screening, filtering, and detection tools to easily screen out high-quality LinkedIn users.

What is the global mobile phone number screening filter detection screening tool, and how to screen out high-quality LinkedIn users?

Using global mobile phone number filtering and detection, it supports quick query and detection of mobile phone numbers opened by 17 global social App accounts. It gathers global Line, WhatsApp, Zalo, Facebook, Twitter, LinkedIn, Instagram, Telegram, Microsoft, Signal, Viber, Skype, Amazon, KakaoTalk, Snapchat, Wish and other platforms. Multi-dimensional screening data can be queried for accurate tags such as opened, active in the past three days, age, gender, etc.

The low-cost and high-precision screening solution is as follows:

For example, if the user has 10,000 pieces of original data, the first step can be to query and filter the users who have opened WhatsApp, and screen out 5,000 users who have opened WhatsApp, and then use these 5,000 data to perform a second query to filter out the users who have opened LinkedIn, and finally obtain 3,000 users who have opened WS LinkedIn.

Many customers may have questions when they see this, why do I need to inquire about activating WhatsApp first as I am a LinkedIn user? Isn’t it a waste of my inquiry money?

In fact, this is not the case. The final result of screening users is to obtain the contact information of high-quality users, so WhatsApp is their necessary contact number. Simply querying whether the user has opened LinkedIn will not be of much use. After obtaining the WS contact information of LinkedIn users, you can start the next step of marketing and attracting traffic. You can use marketing methods such as WhatsApp mass sending, SMS marketing mass sending, WhatsApp attracting and adding friends, etc. to quickly promote products or attract traffic quickly.

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