Linkedin Automated Prospecting - Loophole Exposed

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AI Summary

Summary: LinkedIn Email Automation Process

• Automation Purpose:
  • Target specific profiles using Sales Navigator.
  • Send personalized direct messages (DMs) for pitches, calls, or value offers.
  • Focus on profiles open to connections to avoid using LinkedIn message quotas.
• LinkedIn Constraints:
  • Limited to 200 messages per week.
  • Restrictions to prevent spam.
• Automation Steps:
  1. Use Sales Navigator to filter prospects (e.g., keyword, company size, location).
  2. Extract data from profiles (limit of 1K due to LinkedIn restrictions).
  3. Identify premium profiles with open messaging.
  4. Avoid repeat messaging by checking for first-time profile views.
  5. Use Optical Character Recognition (OCR) to determine if a profile is open.
  6. Personalize outreach using the prospect’s name.
• Technical Implementation:
  • Built using Microsoft Power Automate (alternative: Python).
  • Runs on a Virtual Private Server (VPS) via Honix for background processing.
  • Automation includes:
    • Launching Sales Navigator URL.
    • Closing conflicting Excel processes.
    • Scraping LinkedIn URLs and profile data.
    • Writing data to Excel and navigating through Sales Navigator pages.
    • Personalizing and sending messages.
    • Tracking message status and limiting daily sends to avoid flags.
• Automation Flow:
  • Loop through Excel rows with profile URLs.
  • Clean data and extract first names for personalization.
  • Open profile URL and check for “first time view” text.
  • Send message if the profile is open and not previously messaged.
  • Record the date and time of sent messages.
  • Limit daily messages to avoid LinkedIn flagging (optimal limit undetermined).
• Additional Notes:
  • Automation is not robustly built but is effective for the use case.
  • Delays are added to mimic human interaction.
  • The creator is cautious about sharing this loophole as it may lead to its closure.
  • Offers help with implementing similar automations for clients.
• Closing Remarks:
  • The creator invites feedback, suggestions, and offers assistance through the link in the video description.
  • Encourages likes, subscriptions, and comments for the shared content.