Enabled lead prioritization
Interpretable reasons, valuable insights
The client is the largest provider of supplemental insurance in the United States, providing financial protection to more than 50 million people worldwide.
They had been facing problems in identifying the leads who have higher likelihood to convert.
The ultimate goal was to help the client’s call center to prioritize the leads, in terms of who to contact first, based on likelihood of conversion.
Python
Tableau
Teradata
Quantiphi created a 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.
