Agostino Calamia’s Post

View profile for Agostino Calamia, graphic

Bridging the gap between AI engineering & product management

3 Reasons Why Sales Teams Need AI-Driven Lead Scoring (And why it might be the game-changer you've been looking for) In sales, time is everything. But too often, sales teams waste hours. Chasing cold leads, instead of hot prospects. Here’s where AI and machine learning come in: 1. Prioritization Imagine knowing which leads will convert. AI analyzes data patterns that humans miss. It scores leads based on likelihood to purchase. 2. Efficiency Automate lead scoring, focus on closing deals. Forget sorting through endless contact lists. This isn’t just saving time—it's productivity. 3. Personalization AI offers deep insights into each lead's needs. Tailor your outreach to resonate more deeply. When you know their needs, you close more deals. The bottom line? AI-driven lead scoring is essential today. Stay competitive, or get left behind in 2024. P.S. If you’re still manually scoring leads: - it’s time for a change. #LLM #Sales #Analytics #MachineLearning

  • No alternative text description for this image
Tales M.

Machine Learning Engineer 🤖 | Making MLOps accessible!

4mo

Very interesting Agostino Calamia! This is a use case I’ve not worked on before but it makes a lot of sense! 💡 Emeric Kubiak maybe worth thinking for AF 😁

To view or add a comment, sign in

Explore topics