Enabled lead prioritization
Interpretable reasons, valuable insights
The customer is one of the largest providers of supplemental insurance in the United States, providing financial protection to more than 50 million people worldwide. They were facing problems in identifying the leads who have a higher likelihood to convert. They ultimate goal was to help their call center prioritize the leads, in terms of who to contact first, based on likelihood of conversion.
Python
Tableau
Teradata
Quantiphi created a lead conversion model and developed a real-time dashboard that enabled the client’s call center employees to identify the potential leads which should be contacted first.
