Persistency Ratio in Insurance Explained for Policyholders

Life insurance is a long-term financial commitment that helps protect your family’s future and support important financial goals. However, the value of a policy depends not only on buying it but also on continuing it consistently over time. This is where the persistency ratio in insurance becomes important.

Persistency ratio in insurance measures the percentage of policyholders who continue paying premiums and keep their policies active over a specific period. A higher persistency insurance ratio often reflects stronger customer trust, policy satisfaction, and insurer reliability.

Why Persistency Matters in Insurance

• Maintains uninterrupted life insurance coverage
• Reflects customer trust and satisfaction
• Supports long-term financial planning
• Indicates insurer reliability and service quality
• Helps maximise policy benefits over time

Understanding the importance of persistency in life insurance can help individuals make better insurance and financial planning decisions. 

What Is Persistency Ratio?

The persistency ratio in insurance refers to the percentage of policyholders who continue paying premiums and keep their policies active instead of letting them lapse. Insurance companies use persistency insurance ratios to evaluate customer retention and long-term policy continuation. 

A high persistency ratio generally reflects customer satisfaction, policy affordability, and trust in the insurer’s services. In life insurance, strong persistency also indicates better customer relationships and long-term policy value.

Why Is Persistency Ratio Important?

The persistency ratio is an important indicator of insurer reliability and customer retention. It shows how consistently policyholders continue their insurance plans over time.

For policyholders, strong persistency insurance performance ensures uninterrupted financial protection and long-term policy benefits. For insurers, it supports stable premium inflows and stronger customer relationships.

Why Persistency Ratio Matters

• Ensures continuous life insurance coverage
• Reflects customer trust and satisfaction
• Helps maximise long-term policy benefits
• Supports disciplined financial planning
• Indicates product and service quality
• Strengthens insurer stability and growth

The importance of persistency in life insurance becomes especially significant in long-term financial planning and wealth protection. 

Types of Persistency Ratios

Insurance companies measure persistency across different time periods to understand how consistently policyholders continue their insurance plans. These persistency ratios help insurers evaluate customer retention and long-term policy continuation. 

Common Types of Persistency Ratios

• 13th-Month Persistency Ratio
• 25th-Month Persistency Ratio
• 37th-Month Persistency Ratio
• 61st-Month Persistency Ratio
• Above 61st Persistency Ratio

Each persistency ratio in insurance reflects policy continuation after a specific duration. 

1. 13th-Month Persistency Ratio

The 13th-month persistency ratio measures the percentage of policyholders who continue paying premiums after the first year. This is one of the most important persistency insurance metrics because many policy lapses happen during the initial year.

2. 25th-Month Persistency Ratio

The 25th-month persistency ratio measures policy continuation after two years. A higher persistency ratio in insurance at this stage generally reflects customer satisfaction and premium affordability.

3. 37th-Month Persistency Ratio

The 37th-month persistency ratio reflects long-term policy continuation after three years and indicates customer loyalty and long-term financial commitment. 

How Persistency Ratio Is Calculated

The persistency ratio in insurance is calculated by comparing the number of active policies after a certain period with the total number of policies originally issued. It helps insurers measure customer retention and policy continuation. 

Key Elements Used in the Calculation

• Total number of policies issued
• Number of policies renewed or active
• Duration being measured (e.g., 13th month, 25th month, etc.)
• Final persistency percentage

Persistency Ratio Formula

The standard formula used to calculate persistency ratio in insurance is: 

Persistency Ratio = (Number of Policies Renewed ÷ Total Policies Issued) × 100

This formula shows the percentage of policyholders who continue their insurance coverage after a specific period. 

Example of Persistency Ratio Calculation

Explanation

In this example, 8,500 out of 10,000 policyholders continued paying premiums after 13 months, resulting in an 85% persistency ratio in insurance, reflecting strong customer retention and continued policy engagement. 

Factors Affecting Persistency Ratio

Several factors influence the persistency ratio in insurance, including customer awareness, affordability of premiums, and service quality. 

1. Customer Behaviour & Awareness

Policyholders who understand the value and benefits of life insurance are more likely to continue their policies consistently. Lack of awareness about policy terms or due dates can reduce persistency insurance performance. 

2. Policy Pricing & Benefits

Affordable premiums and relevant long-term benefits are key factors affecting persistency ratio in insurance. Policies aligned with customer goals generally have better continuation rates.

3. Agent/Advisor Role

Insurance advisors help improve persistency ratios by guiding customers toward suitable policies and providing regular support and reminders.

4. Company Service Quality

Responsive customer support, transparent communication, and convenient payment options help improve persistency insurance performance and long-term customer trust. 

Persistency Ratio vs Renewal Ratio

Persistency ratio and renewal ratio are related insurance metrics, but they measure different aspects of policy performance. 

Explanation

The persistency ratio in insurance measures how many policyholders continue their insurance coverage after a specific period, while the renewal ratio focuses on premium income collected through renewals. Persistency insurance ratios are often considered stronger indicators of customer trust and policy satisfaction. 

Good Persistency Ratio – What Is Considered Ideal?

A good persistency ratio in insurance generally reflects strong customer retention and policy satisfaction. Regulators such as IRDAI also monitor persistency insurance performance to assess insurer stability and customer retention practices. 

Common Industry Benchmarks

• A 13th-month persistency ratio above 80% is generally considered strong
• Higher 25th and 37th-month persistency ratios indicate better long-term customer retention
• Consistent persistency performance across different durations reflects insurer reliability

However, persistency ratio in insurance may vary depending on product type, customer segment, and market conditions. 

How Persistency Ratio Impacts Policyholders

The persistency ratio in insurance impacts policyholders by reflecting the continuity and effectiveness of life insurance coverage. Maintaining policy persistency helps individuals continue receiving financial protection and long-term policy benefits. 

Impact on Policyholders

• Ensures uninterrupted life insurance protection
• Helps maximise maturity and bonus benefits
• Supports long-term financial planning goals
• Reduces the risk of policy lapse
• Maintains financial security for dependents

Policyholders who maintain their insurance plans consistently are more likely to achieve long-term financial goals such as family protection and wealth creation.

How Persistency Ratio Impacts Insurance Companies

For insurers, persistency insurance performance is a key indicator of customer retention, business stability, and profitability. A higher persistency ratio means more policyholders continue their insurance plans, resulting in stable premium inflows and stronger customer relationships. 

Impact on Insurance Companies

• Supports stable and predictable premium income
• Improves long-term profitability and business growth
• Reflects strong customer trust and satisfaction
• Enhances insurer reputation and market credibility
• Helps insurers manage financial liabilities effectively

A low persistency ratio in insurance may indicate weak customer engagement or poor after-sales service.

Ways to Improve Persistency Ratio

Improving the persistency ratio in insurance requires efforts from both policyholders and insurers. Better awareness, timely premium payments, and strong service support can improve long-term policy continuation. 

Ways Policyholders Can Improve Persistency

• Choose insurance policies based on financial affordability
• Understand policy features, benefits, and premium commitments clearly
• Pay premiums on or before due dates
• Use auto-debit or online payment reminder facilities
• Review financial goals regularly and align insurance needs accordingly

Ways Insurance Companies Can Improve Persistency

• Provide clear and transparent policy communication
• Improve customer education and financial awareness initiatives
• Offer responsive after-sales support and grievance handling
• Simplify premium payment options and digital services
• Strengthen advisor training and customer engagement practices

Improving persistency insurance performance benefits both insurers and policyholders through stronger customer relationships and better policy value.

Common Mistakes That Reduce Persistency

Several factors can lower the persistency ratio in insurance and lead to policy lapses. Avoiding them can help policyholders maintain uninterrupted coverage and maximise long-term insurance benefits.

Common Mistakes That Affect Persistency Ratio

• Purchasing insurance plans without understanding policy terms
• Choosing premium amounts that are difficult to sustain long-term
• Missing premium payment due dates
• Ignoring policy benefits and long-term financial goals
• Lack of communication with insurers or advisors
• Discontinuing policies during short-term financial difficulties without exploring alternatives
• Not updating contact details results in missed reminders and notices

For insurers, weak onboarding and poor after-sales support can also negatively affect persistency insurance performance. 

Real-Life Example of Persistency Ratio

Suppose an insurance company issues 20,000 life insurance policies in a financial year. After 13 months, 16,500 policyholders continue paying premiums and keep their policies active. 

Using the persistency ratio formula:

Persistency Ratio = (16,500 ÷ 20,000) × 100 = 82.5%

This means the insurer has an 82.5% 13th-month persistency ratio in insurance, showing strong customer retention and policy continuation.

What This Indicates

• Customers are satisfied with the insurance products and services
• Premiums may be affordable and manageable for policyholders
• Advisors and customer support teams are effectively engaging with customers
• The insurer is maintaining strong policyholder retention

Strong persistency insurance performance is often associated with customer trust and long-term service quality. 

Building Financial Security Through Persistency Ratio in Insurance

The persistency ratio in insurance reflects how consistently policyholders continue their life insurance coverage over time. A strong persistency insurance ratio often indicates customer trust, long-term policy value, and financial commitment. 

Understanding the importance of persistency in life insurance can help policyholders maintain uninterrupted protection and maximise long-term benefits. At Shriram Life Insurance, the focus remains on offering reliable insurance solutions that support lasting financial security.