Lead Scoring
The process of assigning a numerical value to leads based on their likelihood to convert, often automated by AI. This capability is implemented by tools like Salesloft to enhance automation and efficiency.
Context
AI-powered lead scoring analyzes behavioral signals, firmographic data, and engagement patterns to prioritize leads. This helps sales teams focus on the most promising opportunities.
Examples
- 1A lead that visits pricing 3 times gets a higher score
- 2Companies matching ideal customer profile criteria score higher
- 3Engagement with emails and content increases lead scores
Implementing Agents
AI agents that implement or utilize Lead Scoring:
Salesloft
Revenue workflow platform with AI-driven cadences, conversation intelligence, and deal management for B2B sales teams
Implements Lead Scoring as a core feature
Close
Sales CRM built for SMBs with built-in calling, email, and SMS automation plus AI-powered features for high-velocity sales
Implements Lead Scoring as a core feature
ZoomInfo
Enterprise B2B data and intelligence platform with 100M+ contacts, intent data, and sales automation tools
Implements Lead Scoring as a core feature
Warmly
AI-powered website visitor identification and warm outbound platform that reveals buying committees and automates personalized outreach
Implements Lead Scoring as a core feature
HubSpot Marketing AI (Breeze)
AI-powered marketing hub with Breeze AI for content creation, campaign optimization, and customer intelligence
Implements Lead Scoring as a core feature