Methods for filtering active accounts on LinkedIn in the US: Practical filtering techniques and batch operation tutorial

I. Why screen active LinkedIn accounts in the United States?

• Reduce ineffective consumption. Inactive accounts that do not log in for a long time and do not respond after being added will waste a lot of time and manpower.
• Improving the accuracy of customer acquisition means that active accounts are mostly effective users, which can avoid diluting the customer pool and increasing the difficulty of follow-up.
• To protect the security of the main account, frequently adding inactive or abnormal accounts may trigger the platform's risk control measures and affect the normal use of the account.
• To increase conversion rates, active account users are online more frequently and are more likely to see add requests and messages, thus increasing the likelihood of a sale.
  
  

II.  What pitfalls should be avoided when screening active LinkedIn accounts in the United States?

• Judging activity solely by profile picture is inaccurate; having a profile picture doesn't guarantee frequent logins. Many accounts with profile pictures are "zombie accounts."
• Blindly pursuing quantity while ignoring quality, and adding irrelevant accounts in bulk, ultimately results in extremely low customer acquisition and conversion rates.
• Manually filtering one by one is inefficient and prone to errors, and it is difficult to guarantee the quality of filtering when dealing with a large number of accounts.
• Uploading all accounts directly without preprocessing the list increases filtering costs and leads to ineffective operations.
  
  

III. LinkedIn Contact Selection Techniques for Beginners

• Define the core screening criteria and focus on three key points: recent updates, complete personal profile, and normal interaction with friends.
• Prioritize screening industry-related accounts. Based on your own business, screen relevant industry accounts on LinkedIn in the United States, taking into account both activity and accuracy.
• Avoid suspicious accounts, accounts with no activity, no profile, or messy usernames; exclude them directly without further screening.
• Screening is done in batches to avoid screening too many accounts at once, thereby reducing platform risk control risks and ensuring screening quality.
• Manual filtering is inefficient when aided by tools. Choosing a suitable filtering tool (such as ITG global filtering) can achieve efficient batch filtering.
  
  

IV. Specific operations for batch filtering using ITG global filtering

• Step 1: Batch upload the list of phone numbers. Supports CSV, TXT format or API import. Sources can be advertising leads, historical customer pools, etc.
• Step 2: Perform a registration status check to automatically determine whether the number is registered with WhatsApp. Unregistered numbers will be removed directly to reduce invalid operations.
• Step 3: Identify profile pictures and cold account signals. Accounts with blank profile pictures, default profile pictures, or abnormal status are labeled "low activity" and processed later.
• Step 4: Identify risk control number segments, exclude SMS verification platforms and virtual operator number segments, protect the main account's security, and avoid platform blocking.
• Step 5: Tagging output. The system tags each number with "Recommended use/Use with caution/Exclude" for easy batch export and layered processing.
  
  

V. After screening, how to efficiently acquire customers using active accounts?

• Control the frequency of additions, adding them in different time periods and batches to avoid triggering platform risk control and improve the success rate of additions.
• Send personalized add messages that combine account information and industry characteristics to avoid using a uniform template and increase the success rate.
• Prioritize tiered follow-up, focusing on active accounts that are "recommended for use," and combining account dynamic interactions to bring users closer together.
• The list is updated regularly, and the accounts are re-screened periodically to remove inactive accounts and add new active accounts, ensuring the quality of the customer pool.
  
  

Conclusion