Case Study

Higher-Quality Leads, Delivered Automatically

Man analyzing charts on a desktop monitor and laptop at an office desk with city view through the window.

A fleet vehicle firm needed to move from reactive selling to proactive prospecting. OnTrac built an AI-powered lead scoring and outreach engine that transformed their pipeline. 

The Challenge

The sales team was operating reactively, waiting for inbound demand rather than pursuing high-value prospects. Third-party data sources that could fuel proactive outreach were difficult to access and required extensive manual effort to pull and interpret. Meanwhile, the CRM was cluttered with inconsistent and incomplete records, making it nearly impossible to identify which accounts deserved attention. Without a reliable way to prioritize leads, reps were spending time on low-potential contacts while better opportunities went untouched. 

What OnTrac Built

OnTrac built an integrated lead generation engine that automates data acquisition, enriches CRM records, and uses machine learning to surface the highest-potential prospects for the sales team. 

  • Automates data extraction from third-party sources that previously required manual retrieval 

  • Combines external data with internal CRM records to create a unified, enriched view of each prospect 

  • Applies ML-based scoring models to rank leads by likelihood to convert 

  • Generates AI-powered summaries for personalized outreach, giving reps context before every conversation 

 

What happens when your sales team stops guessing and starts targeting?

When lead quality improves, everything downstream improves with it. Reps spend their time on prospects with real potential instead of working through undifferentiated lists. Outreach becomes more relevant because it is grounded in actual data, not assumptions. The result is a sales organization that operates with more focus, more confidence, and more consistency, without adding headcount to get there.