Client and Challenge

A B2B software company’s sales team was overwhelmed by high-volume inbound leads. They treated every trial sign-up equally, wasting senior sales resources on low-intent prospects while high-value deals went cold, leading to significant lost revenue opportunities.

Solution

We built a custom predictive lead scoring model analyzing historical behavioral data - such as feature usage, website engagement, and user events - to predict conversion probability. Leads are now dynamically ranked and routed to maximize sales velocity for high-value accounts.

Outcomes

• Direct Revenue Growth : Achieved a 22% increase in monthly recurring revenue (MRR) by capturing high-intent leads before they reached competitors.

• Reduced Customer Acquisition Cost (CAC) : Lowered sales-related overhead by 30% by eliminating manual triage and focusing expensive human capital on "closing-ready" prospects.

• Increased Sales Velocity : Shortened the average sales cycle by 14 days, allowing the team to handle a higher volume of deals without increasing headcount.