Insurance Lapse Rate Calculator
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Policy Lapse Rate:
Understanding Lapse Rate in the Insurance Industry
In the insurance sector, the lapse rate is one of the most critical Key Performance Indicators (KPIs). It measures the percentage of policies that are terminated by the policyholder or the insurer due to non-payment of premiums or active cancellation before the policy term expires or a claim occurs.
What is the Lapse Rate Formula?
The calculation is straightforward but provides deep insights into the health of an insurance portfolio. The mathematical formula used in our calculator is:
Why the Lapse Rate Matters
Insurance companies invest heavily in Customer Acquisition Costs (CAC). It often takes several years of premium payments before a policy becomes profitable for the carrier. When a policy "lapses" early:
- Sunk Costs: The marketing and underwriting costs are never recovered.
- Lower Valuation: High lapse rates reduce the "Embedded Value" of an insurance company.
- Adverse Selection: Sometimes, the healthiest policyholders lapse while those with higher risks maintain coverage, creating an imbalance.
Realistic Example Calculation
Imagine a life insurance provider, "SecureLife," starts the fiscal year with 50,000 active policies. Throughout the year, they notice that 3,500 policyholders stopped paying their premiums or requested a cancellation. Using the calculator:
- Initial Policies: 50,000
- Lapses: 3,500
- Calculation: (3,500 / 50,000) = 0.07
- Result: 7% Lapse Rate
This would indicate a 93% retention rate, which is generally considered healthy in the life insurance sector, though benchmarks vary by product type (e.g., Term Life vs. Auto Insurance).
Factors Influencing High Lapse Rates
Several variables can cause a spike in your lapse metrics:
| Factor | Description |
|---|---|
| Economic Climate | During recessions, policyholders may cut "non-essential" expenses like optional insurance riders. |
| Rate Increases | Significant premium hikes often drive customers to shop around for cheaper competitors. |
| Product Fit | If a policy was sold that didn't meet the customer's long-term needs, they are more likely to cancel within 12-24 months. |