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Intelligent Lead Scoring Engine

AI-powered lead scoring that boosted B2B conversion rates by 40% in the first quarter.

+40%

Lead Conversion Rate

–34%

Shorter Deal Cycle

+28%

Revenue per Sales Rep

Scoring Signals Used

The Challenge

A B2B SaaS company was generating hundreds of leads per week from web forms, but sales reps had no way to prioritize them. They were spending equal time on unqualified inquiries and hot enterprise prospects. Win rates were low, and the sales team was burning out chasing dead ends.

Our Solution

We built an AI-powered lead scoring system that automatically pulls lead data from web forms, enriches each profile using public data sources (company size, industry, LinkedIn signals), and scores them based on 12 behavioral and firmographic signals. Hot leads are routed instantly to the CRM queue with a full context brief. Cold leads enter nurture sequences.

How It Works

Lead Captured

Form submission triggers the scoring pipeline.

Profile Enriched

Public data sources fill in company and contact context.

Score Calculated

12 behavioral + firmographic signals produce a score.

Routed to CRM

Hot leads delivered with full context brief to sales.

Cold Leads Nurtured

Low-score leads enter automated email sequences.

Before vs. After

❌ Before

Manual processes & spreadsheets

Hours of repetitive work daily

Human errors and bottlenecks

Team burned out on low-value tasks

No visibility into real-time data

✓ After NAGY Labs

Enterprise92

Mid-market67

SMB31

+40%

Lead conversion rate

The Outcome

In the first quarter after deployment, lead conversion rates jumped 40%. Sales reps now spend 70% of their time on qualified leads. The average deal cycle shortened from 47 days to 31 days, and revenue per sales rep increased by 28%.

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