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RevFlow AI – Automated Lead Qualification & Scoring System
Summary

RevFlow AI, a B2B marketing and demand generation agency, was generating a high volume of inbound leads through ads, landing pages, and content funnels. However, their sales team was overwhelmed with unqualified leads, leading to wasted time and missed high-intent opportunities.

They approached Distinct Cloud Labs to build a system that could automatically analyze, qualify, and prioritize leads in real time — ensuring their sales team focuses only on leads that are most likely to convert.

We designed and deployed a custom AI-powered lead qualification agent that evaluates leads based on multiple signals, scores them instantly, and routes them into the appropriate sales workflows.

Business Impact

  • Reduced manual lead qualification effort by 75%

  • Improved response time to high-intent leads by 60%

  • Increased conversion rates by 40%

  • Enabled sales team to focus only on qualified opportunities

  • Improved alignment between marketing and sales teams

  • Built a scalable lead handling system capable of handling growth

Tech challenges

  • Combining structured CRM data with unstructured lead inputs for accurate scoring

  • Designing a flexible scoring system adaptable to changing business rules

  • Ensing real-time processing of high-volume lead inflow

  • Maintaining accuracy in intent detection across diverse input formats

  • Integrating multiple APIs and systems into a unified workflow

Timelines
1

4 Days

Discovery & Qualification Framework Design

We worked with the client to define qualification criteria, scoring logic, and Ideal Customer Profile (ICP). This included identifying key signals such as company size, budget indicators, job roles, and engagement patterns.

2

5 Days

Data Ingestion & Enrichment Pipeline

Built a pipeline to collect lead data from multiple sources including forms, CRM, and marketing tools. Integrated enrichment APIs to fetch additional company and user-level insights for better evaluation.

3

6 Days

AI Lead Scoring Engine

Developed an AI-powered scoring system that evaluates each lead based on structured and unstructured data. The system assigns scores and categorizes leads into qualification buckets.

4

4 Days

Intent Detection & Classification

Implemented an AI layer to analyze lead inputs such as form responses and messages to determine intent level. This enables prioritization of high-quality leads for immediate action.

5

3 Days

CRM Integration & Workflow Automation

Integrated the system with HubSpot to automatically route leads into different pipelines based on score and intent. Set up automated workflows for follow-ups and notifications.

6

3 Days

Dashboard & Reporting System

Built a centralized dashboard to monitor lead quality, scoring distribution, and conversion metrics, providing full visibility into the performance of the qualification system.

7

3 Days

Deployment & Optimization

Deployed the system in production and fine-tuned scoring models based on real-world performance. Implemented monitoring and feedback loops for continuous improvement.

Case Study Info

  • Industry:
    Marketing / Demand Generation
  • Stack:
    Python, FastAPI, OpenAI GPT-4o, Clearbit API, HubSpot API, PostgreSQL, Redis, PipeDrive

Highlights

  • Real-time AI lead scoring engine
  • Automated qualification based on ICP and intent signals
  • Multi-source data enrichment (company + user level)
  • Intelligent routing of high-intent leads
  • CRM pipeline automation with scoring insights
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