AI Lead Qualification Case Study | SaaS Automation

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SaaS & Technology

AI-Powered Lead Qualification & Sales Automation

AI-driven inbound lead triage and CRM automation for a SaaS platform receiving thousands of leads monthly.

This SaaS & Technology AI automation case study explores AI-Powered Lead Qualification & Sales Automation. Tags: SaaS & Technology, Lead Management, AI Implementation, Workflow Automation, OpenAI, Make.com, HubSpot, Retool, AI Automation.

3 min

Response Time

+22%

Lead-to-Demo Conversion

~40%

Sales Workload Reduction

Overview

A rapidly growing SaaS platform received thousands of inbound leads monthly through web forms, chatbots, email, and Stripe checkout pages. Manual qualification was inefficient and inconsistent, causing the sales team to lose warm prospects.

Challenges

1

Sales team overwhelmed with low-quality leads

2

No standardized scoring process

3

Long response time → losing warm prospects

4

CRM disorganized with inconsistent fields

5

No visibility into funnel performance

What We Delivered

AI model to score leads in real time based on industry, company size, intent, tech usage

Automated segmentation into High, Medium, and Low readiness

Personalized AI-crafted outreach emails

Auto-creation of tasks for Sales Reps

Enrichment workflows (Clearbit + LinkedIn scraping)

Performance dashboard showing conversion by lead type

Tech Stack

OpenAI, Make.com, HubSpot, Clearbit API, Airtable, Retool

Tags

SaaS & TechnologyLead ManagementAI ImplementationWorkflow AutomationOpenAIMake.comHubSpotRetoolAI Automation

Results

3 min

Response Time

+22%

Lead-to-Demo Conversion

~40%

Sales Workload Reduction

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