AI Lead Scoring Agent on Taskade Genesis. Every new lead (from forms, ad clicks, list uploads) gets a 0-100 fit score with a one-sentence 'why' — based on your stored ICP and the patterns it learns from your closed-won deals.
What's Included
- ICP Scorer: Reads each lead against your written ICP definition
- Historical Pattern Learner: Reads your past won/lost deals to find the signals that actually predict close
- Score + Explanation: Every lead gets a numeric score + one sentence ('CMO + 200-500 employees + Series B = strong fit')
- Threshold Routing: ≥80 → instant rep alert; 50-79 → nurture; <50 → archive with a quarterly reawaken
- Memory Loop: Every closed-won deal updates the pattern model — scoring gets sharper monthly
How To Use
- Clone this app
- Write your one-page ICP definition into the Memory project
- Drop in your last 50-100 closed deals (won/lost) so the scoring agent learns your patterns
- New leads flow in via form or CSV — get scored in real time
- Set the routing thresholds + Slack alerts via automation
▲ ■ ● Memory · Intelligence · Execution.