Lead Scoring Engine
AI prediction engine scoring and qualifying sales leads with behavioral analysis.
Services
Predictive Modeling
Stack
Scikit-learn, Python, CRM
Timeline
3 Weeks
Client
B2B SaaS
The Challenge
The sales team was wasting hours calling "tire kickers"—leads who had no intention of buying. They needed a way to prioritize high-intent prospects to maximize their conversion rate.
The Solution
We integrated a machine learning model with their CRM that assigns a "Win Probability" score (0-100) to every new contact.
- Behavior Analysis: Tracks website visits, email opens, and whitepaper downloads to gauge interest.
- Firmographics: Automatically enriches data to see if the company size and industry match the ideal customer profile.
- Auto-Routing: Hot leads (Score > 80) are instantly routed to senior account executives via Slack.
The Impact
Sales efficiency skyrocketed. The team stopped cold calling low-quality leads and focused purely on closing deals.
Close more deals?
Stop wasting time on bad leads. Let AI identify your next customer.