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#Mediguard

Optimizing Client Acquisition and Reducing Costs

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Argentina
Category
Data Science | Advanced Analytics
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Completed

Background

About Mediguard

MediGuard Enterprises, a prominent business group based in Buenos Aires, Argentina, is at the forefront of safeguarding the well-being of individuals and it is a distinguished leader in the health market.

With a rich history and a commitment to excellence, MediGuard Enterprises has consolidated its reputation as a key player in the health and care industry. They are dedicated to providing comprehensive health solutions that cater for the evolving needs of their clients. Their innovative approach and unwavering focus on customer welfare have propelled them to the forefront of the health market, placing them in a position of influence and trust.

The Problem

MediGuard Enterprises needed to identify bank clients with a high likelihood of purchasing life insurance from the company. This imperative stemmed from the goal of reducing the operational costs associated with the insurance contracting process. The challenge laid in efficiently pinpointing potential clients who would benefit from the life insurance offerings, thus streamlining the acquisition process and optimizing cost-effectiveness.

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The Challenge

The primary objective of this project was to develop a predictive model designed to identify bank clients with a higher likelihood of accepting the life insurance services when contacted by phone. By creating this model, the aim was to optimize the acquisition process by reducing the number of clients that needed to be contacted. The goal was to enhance efficiency in targeting prospective customers who were more likely to accept the service.

Our Goals

Through the implementation of the predictive model, the base of prospects to be contacted by the call center was significantly decreased, achieving a remarkable 60% reduction. Importantly, this reduction was accomplished while maintaining efficiency in sales results. This achievement not only streamlined the operational process but also significantly improved cost-effectiveness.

Tech Stack

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Phyton
Data Bricks-2
Phyton
Azure
XG Boost

 Conclusion

Insights and Highlights

MediGuard Enterprises achieved a remarkable 60% reduction in the prospects base for life insurance services, while maintaining sales efficiency. This data-driven approach improved operational efficiency and cost-effectiveness, reinforcing their leadership in the health and insurance industry.


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