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Navigating Data Challenges in Commercial Insurance and Optimizing the Renewals Process

A Path to Reducing Churn and Enhancing Customer Experience for the Renewals Process

Feb 2, 202412 min read
InsuranceResearch report20 pages

For commercial insurance carriers, underwriters, and brokers managing renewals.

Navigating Data Challenges in Commercial Insurance and Optimizing the Renewals Process — report cover
Key findings
  • 45% of insurers' commercial customers have inaccuracies in critical areas such as business activities and addresses.
  • 25% of mid-market businesses spend over two hours on renewal paperwork.
  • 14% of insurers' commercial customers don't receive renewal reminders from their insurers.
  • In 2022, the average churn rate was 19.7%, spiking to 23% in October during peak renewal periods.
  • Around 20% of small businesses are misclassified in insurance categories, leading to premium discrepancies.
  • Companies with strong ESG profiles have up to 20% lower risk profiles, affecting insurance terms.

Overview

What this report covers

An in-depth analysis of data challenges facing commercial insurance renewals, their contribution to churn, and how Veridion's AI-driven decision-grade data can optimize the renewal process — from risk assessment to customer retention.

45%of commercial customers have data inaccuracies
19.7%average churn rate in 2022
23%churn spike in October, the peak renewal month
25%of mid-market businesses spend 2+ hours on renewal paperwork

Inside the report

Questions this report answers

  • Why is the renewal process still the leakiest point in commercial insurance?
  • Which business data changes mid-year, and how does stale data drive churn?
  • What does overlooking a single customer relocation do to a policy? (worked case study)
  • How do you keep risk assessment and pricing accurate between renewals?
  • How can API-integrated external data cut churn and premium leakage?

Contents

What’s inside

  1. Data challenges insurers face during renewals
  2. How data gaps drive up churn
  3. Business data that changes during the year, and its risks
  4. Case study: overlooking an IT company’s relocation
  5. Improving due diligence with Veridion risk monitoring

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