A lead score is only as accurate as the data behind it. If you're missing half the engagement signals — a profile view here, a post share there — your scores are built on incomplete information. A prospect who engaged five times but only had two interactions captured looks lukewarm when they're actually hot. Ghost captures every signal type across your LinkedIn presence, ensuring your scoring model has complete data and your scores reflect the prospect's true level of engagement.
The problem
Your lead scores are inaccurate because your signal capture is incomplete. Prospect A has engaged with your content six times but your system only captured two interactions. Their score says "lukewarm" when they should be flagged as "hot". Opportunities are lost to bad data.
How Ghost solves this
Ghost captures every engagement signal across your LinkedIn presence — likes, comments, shares, profile views, connection requests, and DM opens. Complete data feeds into your scoring model, producing scores that accurately reflect each prospect's true engagement level.
Ghost's comprehensive signal capture identifies 3.5× more high-intent prospects than tools that only track likes and comments.