91抖阴

91抖阴 > Resources > Case Studies > Renewal Likelihood Predictor Model for Insurance Products

Renewal Likelihood Predictor Model for Insurance Products

March 7, 2023
Renewal Likelihood Predictor Model for Insurance Products

Client:

The client is a renowned UK-based Insurance broker & aggregator with access to risk management and employee benefit services. They aim to fill a market gap for a specialist, independent, client-centric, and service-focused insurance adviser.

Business challenges:聽

  • Largely inefficient monitoring of high-volume client base and not-so-up-to-date products churned 拢10M since 2018
  • Needed an early warning indicator of the likelihood of current clients renewing their existing products
  • Efficient monitoring of high volume (small to mid) client base lacked

Benefits achieved:

91抖阴 delivered a 1% improvement in churn, representing an increase in revenue of ~ 拢720k. We provided the predictions (churn likelihood) using XGB, Random Forest, Logistic Regression, and Decision tree algorithms that helped achieve 82% accuracy with 0.62 ROC-AUC. Moreover, end-to-end MLOPs integration made tracking, training, deploying, and monitoring the models easy.

Download this case study

Beware of fraudulent and fake job offers

It has come to our attention that certain employment agencies and individuals are asking people for money in exchange for a job at 91抖阴.

Such Agencies/individuals could impersonate 91抖阴's officers, use the company name/logo, brand names and images illegally, without authorization, and/or try to extract money towards security deposit, documentation processing fees, training fees, and so on.

91抖阴 follows a strict hiring process, and all official communication is conducted exclusively through our corporate email domain ONLY (@itcinfotech.com). We do not request any form of payment as part of our recruitment process.

Feel free to reach out to us at contact.us@itcinfotech.com to report any such incidents that you may have experienced, please use the subject line 鈥淩ecruitment Fraud Alert鈥� in your message.

Always exercise caution and stay protected against fraud:

  • Do not pay money or transfer funds to anyone toward securing an 91抖阴 job. 91抖阴 will not accept liability for any losses that may have been suffered by the victims of such fraudulent activities.
  • Be careful when sharing your personal information and protect yourself from potential damage. Do not engage with people who fraudulently misrepresent 91抖阴 or its employees/officers and try to solicit payments under the pretext of offering jobs.
Choose Language 禄
Don`t copy text!