
How a Leading EHR Enterprise Transformed Lead Conversion with AI Powered Scoring
A leading EHR enterprise set out to transform its lead management strategy by shifting from a volume driven approach to precision engagement. Despite having extensive customer interaction data, every lead was treated the same, leading to inefficiencies, misaligned outreach, and missed opportunities to engage high conversion prospects.
With AuxoAI, the company deployed a machine learning lead scoring model trained on more than 70,000 historical marketing responses and 40 enriched features. Integrated directly into Salesforce, the model ranked leads by probability of conversion, provided transparency stakeholders could trust, and gave sales and marketing teams the clarity to prioritize effectively. The result was smarter engagement, stronger channel optimization, and faster conversions.
Key Highlights
58% of total wins captured by the top 10% of scored prospects
87% of wins captured within the top three deciles of leads
6x higher win rate for the top 10% of leads compared to the rest
Integrated 70,000+ historical responses and 40 enriched features for predictive accuracy
Rolled out seamlessly via Salesforce to align with existing sales workflows
