Generate and score qualified leads quickly using a combination of internal and external data, enriched by LLMs.
> Generates qualified leads quickly
> Enriches data from various sources
> Saves time vs. manual processing
> Adaptive lead scoring models
> Integrates with existing CRMs
> Continuous feedback improvement
> Enhances sales performance
> Multiple sector applications
Core Technology
AI | Custom LLMs
Web3 | Identity
Top Functions
Data & Analytics
Customer Service
Sales & Marketing
suggested priority
Sales & Marketing
Financial Services
Real Estate
Value Proposition
Ideal for sales teams and marketing departments, this technology addresses the challenge of generating high-quality leads quickly and efficiently. By leveraging a mix of data sources and AI, it can significantly improve the effectiveness of lead generation strategies, leading to enhanced sales performance and operational efficiency.
Use Case Summary
> Utilizes both internal CRM data and external sources like LinkedIn, Apollo, news sites, and social media for lead enrichment.
> Employs Large Language Models (LLMs) to review and enhance lead data comprehensively.
> Generates prioritized and scored leads for more efficient lead management.
> Capable of handling various complexity levels based on the types of external data sources integrated.
> Rapidly filters and enriches databases to save time compared to manual processing.
> Supports dynamic lead scoring models that can adapt to changing business criteria.
> Provides continuous feedback mechanisms to refine lead scoring algorithms over time.
> Allows seamless integration with existing CRM systems for streamlined workflows.
Implementation
Implementation requires integration with your CRM system and access to chosen external data sources. The basic workflow involves data extraction, enrichment by LLMs, scoring using dynamic models, and prioritization of leads. Considerations include ensuring data privacy and compliance with any relevant regulations.
Example Applications
Generate and score qualified leads quickly using a combination of internal and external data, enriched by LLMs.
