Dynamic Lead Generation via Semantic Graph Profiling
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Solution Overview
Problem
Current methods for identifying and providing leads to tele-agents selling complex cloud-based and web-services products are laborious and not real-time, failing to tie customer interest effectively with product offerings, leading to inefficiencies in sales and support operations.
Innovation Solution
A dynamic lead generation system utilizing a lead purchase engine with a dynamic profiling module, semantic graph database, and external sales analytics to identify near-term surges in product interest, generating real-time leads relevant to tele-agents based on company profiles, and updating dashboards with parsed leads for timely and effective sales support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual lead identification is performed by specialists, then leads can be identified and provided to tele-agents, but the process becomes laborious and not real-time
Solution Approach 1:
The patent replaces the manual mechanical process of lead identification by specialists with an automated computer-based system that uses web crawling, data parsing, and machine learning algorithms to identify and provide leads in real-time, eliminating human labor while improving speed and efficiency
Solution Approach 2:
The system enables self-service by automatically generating leads through web-based data collection and analysis without requiring human specialists to manually identify and provide lead information to tele-agents
2Reliability
If leads are identified manually, then contact information can be provided to tele-agents, but the leads are not tied in real time with customer interest
Solution Approach 1:
The system implements feedback by continuously monitoring web-based data sources for customer interest signals and dynamically updating lead generation in real-time, ensuring leads are tied to current customer interest rather than static historical data
Solution Approach 2:
The patent applies dynamics by making the lead generation process adaptive and responsive to changing customer interest in real-time, rather than relying on static manual identification processes that cannot respond to changing market conditions
3Productivity
If automated lead generation is implemented, then real-time leads can be provided to tele-agents, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex lead generation system into distinct modular components including web crawlers, data parsers, machine learning models, and lead delivery mechanisms, allowing each component to be independently developed and maintained while working together to achieve real-time lead generation
Data Source
AI summary
A system for electronic lead generation including a semantic graph database including a knowledge graph and a dynamic profiling module comprising automated computing machinery configured to identify a near-term surge in product interest for a number of companies of a particular size in a particular industry in a particular region of the world in dependence upon the knowledge graph and create a company profile in dependence upon the size of the identified companies, the industry of the identified companies, and the region of the world of the identified companies associated with the near-term surge. Embodiments also include a lead purchase module comprising automated computing machinery configured to generate an electronic lead purchase order in dependence upon the company profile; transmit the lead purchase order to a lead generation engine; and receive, from the lead generation engine, a plurality of leads in dependence upon the lead purchase order.