India's largest platform for AI & Analytics leaders, professionals & aspirants

Sign in

India's largest platform for AI & Analytics leaders, professionals & aspirants

3AI Digital Library

Minimizing Policy Attrition

August 16, 2020

Leading Life Insurance Company In Japan

Problem Statement

  • A high attrition in the customer base due to competition and miss-selling (45% is overall lapse rate)
  • Expectation was to build an approach to retain policies and to set up an early warning system to identify a potential attrition cases to prevent further revenue leakage

Analytics Led Approach

  • Attrition trends in the data over the years were analyzed and an approach was designed to provide a solution to contain further revenue leakage
  • Predictive attrition model was built to predict the propensity of policies to attrite
  • Given are high level process steps which were followed :
    • Data Load Exploration
    • Model variable Creation
    • Analytical Model Development
    • Business rules

Business Impact

  • Raw data was mined, and a methodology was built for developing a predictive attrition model to provide a probability score to influence the decisions to follow the case by the customer.
  • Model output was segmented to optimize the approach to follow the case and provided insights to treat each policy based on the segmented matrix Re-evaluate;Retain;Grow;Protect– for example, Retain is the quadrant high value and high risky policy, retaining such policies will optimize the effort as well as cost
  • Primary users, retention team were provided with insights for customer retention..

Critical Success Factors

  • 20% of the in-force portfolio has been identified with 69% of the premium to be at risk of attrition (Approx. $ 1.3 BN premium at risk)
  • Formulated a growth strategy to retain existing customers as well as grow their business
  • Integrated attrition prediction with every customer touch point system through a web service

    3AI Trending Articles

  • How Augmented Analytics is Transforming the Analytics Ecosystem

    Author:  Sidharth Sivasailam, Vice President – Products, Course5 Intelligence | LinkedIn – https://www.linkedin.com/in/sidharthsiva/ The world of Business Analytics is at an inflection point. Trillions of bytes of data are being generated every day; however, companies continue to struggle with harmonizing this data, analyzing the data of various shapes and sizes they are storing, determining what’s […]

  • Using AI to Outwit Malicious AI

    Robust Intelligence is among a crop of companies that offer to protect clients from efforts at deception. IN SEPTEMBER 2019, the National Institute of Standards and Technology issued its first-ever warning for an attack on a commercial artificial intelligence algorithm. Security researchers had devised a way to attack a Proofpoint product that uses machine learning to identify spam emails. The system produced email headers […]

  • Pandemic has “fundamentally accelerated” the process of digital transformation – Satya Nadella

    “What we were going to think about during 2030 is probably going to be true in 2025,” Nadella added. He was speaking at the Resurgence TiEcon Delhi-NCR summit. The pandemic has “fundamentally accelerated” the process of digital transformation across industries, and companies equipped with digital technology are going to be more resilient and be able […]

  • European Union to revamp Cybersecurity rules

    EU last year recorded around 450 cyber incidents involving European infrastructure, notably in the financial and energy sectors, and the pandemic has highlighted Europe’s deep dependence on the internet and exposed security weaknesses.  The European Union unveiled Wednesday plans to revamp the 27-nation bloc’s dated cybersecurity rules, just days after data on a new coronavirus vaccine was unlawfully accessed in […]