Learn how to measure claim frequency across different product lines in Excel to understand where most claims are occurring. This lesson walks you through comparing the number of claims to the number of policies, creating a combo chart, and visualizing your agency’s loss exposure for smarter carrier management.
Download the Excel file used in this tutorial:
This tutorial shows how to calculate Claim Frequency by product line and then convert it into a Claim Frequency Percentage. This KPI helps you understand your loss exposure and spot possible carrier friction when claim frequency is unusually high.
=COUNTIFS(HasClaimRange, “Yes”, ProductLineRange, ProductLine)
=COUNTIFS(ProductLineRange, ProductLine)
=Claims ÷ Policies
You now have an Excel model that calculates Claim Frequency and Claim Frequency % by product line, complete with a combo chart visualization. This analysis helps reveal which products are driving claim volume, enabling smarter underwriting and carrier management decisions.
Q1. What is claim frequency in insurance analytics?
Claim frequency measures how often claims occur relative to the total number of policies written. It’s one of the most important loss ratio and risk exposure KPIs for insurance agencies and helps assess carrier performance and policy quality.
Q2. Why should I calculate claim frequency by product line?
Breaking down claim frequency by product line (Auto, Commercial Auto, Renters, BOP, etc.) helps you identify which areas have the highest claim activity. This visibility supports better underwriting decisions and stronger carrier relationships.
Q3. How do I calculate claim frequency in Excel step by step?
You can organize your data by product line, count the number of claims, count the total number of policies, and divide claims by policies to get a claim frequency percentage. Then visualize the results with a combo chart to compare counts versus percentages.
Q4. What does a high claim frequency indicate?
A high claim frequency suggests increased loss exposure or potential carrier friction, meaning more frequent claims relative to the number of policies. Monitoring this KPI helps agencies address risk management issues early.
Q5. What’s the best chart type to show claim frequency?
A combo chart with bars for claim counts and a line for frequency percentage works best. This format clearly compares the number of claims and the rate at which they occur for each product line.
Q6. Can I use this setup for other insurance metrics?
Yes. The same Excel setup can be adapted for metrics like loss ratio, policy renewal rate, or average claim size, any KPI where comparing counts to percentages reveals performance insights.
Q7. Where can I get the sample Excel file used in this video?
You can download the same dataset shown in the tutorial using the link below the video, or request it by email at questions@databoards.io.