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15

2025-05

Where is the system that supports Line filtering for LinkedIn numbers? Detailed explanation of global data detection solution

Overseas marketers, private domain operation teams and BD practitioners increasingly need to face a real problem: your potential customers are not concentrated on one platform, nor do they use only one social tool. For example, if you find the mobile phone number of a potential customer through LinkedIn, you will not be able to determine whether they are using Line in the next step; blindly adding it will easily lead to frequency limitations, account bans, and waste of manpower. So, everyone began to look for such a tool: Is there a system that can help me determine "whether this LinkedIn user's mobile phone number has been registered with Line"?

15

2025-05

How to use the LinkedIn number after activating Line? Accurately filter user data that can be added as friends

After obtaining a batch of user data whose "LinkedIn number has been activated for Line", what should you do next? Should I simply import the powdering system and continue sending in bulk? Or send a private message one-on-one? When many teams reach this point, they realize that they have the data but don’t know how to implement it, resulting in wasted user resources and ineffective marketing.

28

2025-04

How to use Facebook friend data to quickly expand accurate contacts?

When doing social marketing, fission growth or overseas market development, Facebook friend data is the most direct human resource pool. However, if you want to truly make good use of this data and quickly expand accurate contacts, you cannot rely solely on quantity accumulation. You must first screen out truly high-quality and active users. This article will focus on the theme of "How to use Facebook friend data to quickly expand accurate contacts", share practical methods, and introduce how to use the Digital Planet number screening and detection platform to optimize data in batches and improve the efficiency of network expansion.

28

2025-04

Quickly clean Facebook friend data and screen out high-quality users

When doing social marketing, personal account maintenance, or fission growth plans, having a large amount of Facebook friend data does not mean having effective resources. A lot of raw data contains empty accounts, deactivated accounts, and low active users. If these invalid data are not cleaned up in time, it will not only waste the opportunity to add friends, but also reduce the overall operational effect. This article will explain how to quickly clean up Facebook friend data and screen out truly high-quality user resources through digital planet number screening and detection.

28

2025-04

Guide to screening data for adding friends on Facebook: Improve the pass rate of adding friends

When conducting social marketing, personal account maintenance or fission growth, many people need to use Facebook friend data. However, in the face of massive mobile phone numbers and user information, how to effectively screen and accurately find active and real target friends has become a key issue affecting the success rate of adding friends. This article will share a complete set of data screening methods for adding friends on Facebook, and introduce how to use the digital planet number screening and detection function to quickly increase the success rate of adding friends.

28

2025-04

How to get Facebook friend data? Batch screening of highly active users

When doing social marketing, account maintenance operations, or batch adding friends tasks, Facebook friend adding data has become an indispensable basic resource. But in reality, many users face problems such as scattered data, low activity, and low success rate of adding followers. So, how to obtain Facebook friend data? How to screen out truly active and high-quality target users? This article will break down the acquisition channels and screening methods in detail, and introduce how to use the digital planet number screening and detection function to improve data quality in batches.

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