DATA SCIENCE | Specialty Finance Provider | U.S.

Lead Quality Model Helped Prioritize the Highest-Value Inquiries

The sales team had more inquiries than they could treat equally, and existing reports did not separate volume from quality. We built a lead scoring model using historical conversion patterns, channel behavior, and inquiry attributes so reps could prioritize the opportunities most likely to close.

Measured outcomes

2.4X High-score close rate
Model Lead prioritization
Sales Queue guidance

Implementation summary

Render Analytics connected the relevant systems, data signals, workflows and reporting logic so the team could make decisions from cleaner evidence and focus on measurable outcomes.