Back to case studies
Business challenge
A service brand with high lead volume needed better prioritization for its sales team.
Implementation
We built a predictive lead scoring model using source, behavior, geography, service category, historical conversion data, and response patterns to identify the opportunities most likely to convert.
Reported outcomes
31%
Higher close rate on top leads
44%
Fewer low-fit calls
12K+
Leads modeled
The scoring inputs combined acquisition source and customer behavior with geography, service category, conversion history and response patterns. That connects the model to a specific sales decision: which opportunities deserve attention first. Lead prioritization supports the sales team; it does not turn every highly scored inquiry into a qualified customer.