Lead Scoring

AI-driven lead scoring for smarter sales decisions

Leverage AI-powered analytics to prioritize high-potential leads, optimize sales strategies, and boost conversion rates with real-time scoring insights.

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Functionality

01

Lead Scoring and reasoning will automatically be analyzed based on Lead fields like Company, Title, No. Of Employees, Website, Industry etc.

02

The entire prompt, along with the lead information, is prepared to be sent to the OpenAI API for text completion

03

It helps Sales Rep to analyzed how much efforts they will have to put to convert that Lead to an Opportunity.

Potential Benefits

B2B tech companies prioritize scoring leads for B2B tech clients. Non-tech leads receive lower scores.

Lead scoring data reveals marketing campaign effectiveness, optimizing efforts and resource allocation efficiently.

TL;DR summarization aids content consumption amid information overload, letting users efficiently skim to find worthier pieces.

Engaging with high-scored leads shortens sales cycles, leading to more likely purchases.

Seniority significantly impacts purchasing decisions, making it crucial to consider in lead evaluation.

Lead scoring allocates sales resources efficiently by focusing on high-scored leads for conversion.

Non-tech leads receive significantly reduced scores to focus on B2B tech companies effectively.

Data-driven lead scoring empowers informed lead management strategies, enhancing conversion success.

Technical Specifications

Objects Used

  • Lead

Custom Fields

  • Lead>Company

  • Lead>Website

  • Lead>Industry

  • Lead>NumberOfEmployees

  • Lead>Title

  • Lead>Score_Reasoning__c

  • Lead>Score__c

APIs Used

OpenAI (Services: Completions)

Lightning Web Components developed

leadScoringCompo

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Vegacompass, Business optimization through CRM domain & Tech knowledge