Manual prospecting is research without a scoring framework — you look at a prospect's profile, their company, maybe their recent posts, and make a gut-feel decision about whether to reach out. It's subjective, inconsistent between reps, and slow. Lead scoring replaces gut feel with data. Ghost analyses every prospect's engagement history, firmographic fit, and behavioural signals, producing a consistent, objective score that tells your team exactly where to focus. No more subjective judgement calls.
The problem
Your reps manually evaluate each prospect based on vibes rather than data. One rep thinks a prospect is hot, another disagrees. There's no consistent framework for prioritisation, leading to wasted effort on low-probability prospects and missed high-probability ones.
How Ghost solves this
Ghost applies a consistent, multi-signal scoring model to every prospect in your LinkedIn orbit. Reps work from a ranked list rather than doing their own research, ensuring the best leads always get attention first regardless of which rep is working them.
Teams using Ghost's automated scoring allocate 80% of outreach effort to the top 20% of prospects — the ones that actually convert.