Intelligent lead qualification system that automatically scores and prioritizes prospects based on behavioral data and company fit, helping sales teams focus on high-value opportunities.
A B2B software company was generating 2,000+ leads monthly but sales teams were wasting time on unqualified prospects. Only 15% of leads converted to opportunities, and sales reps couldn't prioritize effectively.
They needed an intelligent system to automatically score leads based on engagement, company profile, and buying signals to help sales teams focus on the most promising opportunities.
Developed machine learning model that analyzes behavioral data, company attributes, and engagement patterns to generate accurate lead scores.
Implemented comprehensive tracking system monitoring website activity, email engagement, and content consumption to identify buying signals.
Created intelligent routing system that automatically assigns high-scoring leads to appropriate sales reps based on territory and expertise.
Built comprehensive dashboard showing lead quality metrics, conversion rates, and sales performance by lead score segments.
Increased lead-to-opportunity conversion rate by 120% through accurate scoring and better lead prioritization.
Reduced average sales cycle time by 40% by focusing efforts on high-intent prospects with strong buying signals.
Boosted sales team productivity by 65% through better lead quality and automated prioritization workflows.
Generated $3.2M additional revenue in first year through improved lead conversion and faster deal closure.