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Lead Scoring

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.

TL;DR summarization aids content consumption amid information overload, letting users efficiently skim to find worthier pieces.
Seniority significantly impacts purchasing decisions, making it crucial to consider in lead evaluation.
Non-tech leads receive significantly reduced scores to focus on B2B tech companies effectively.
Lead scoring data reveals marketing campaign effectiveness, optimizing efforts and resource allocation efficiently.
Engaging with high-scored leads shortens sales cycles, leading to more likely purchases.
Lead scoring allocates sales resources efficiently by focusing on high-scored leads for conversion.
Data-driven lead scoring empowers informed lead management strategies, enhancing conversion success.
Technical Details
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