Insurance runs on numbers, and there have never been more of them to watch. Open a dashboard on any given morning, and you can pull key performance indicators (KPIs)—say, bind rates and cycle times—refreshed by the hour. AI-driven claims and underwriting tools have only sped things up, compressing quote-to-bind times so fast the metrics can shift week to week.
But more data doesn’t necessarily lead to better decisions. The insurers and agencies that get the most from their KPIs likely aren’t the ones tracking the most metrics. Rather, they track the few metrics that can drive the most change in the organization.
The ground underneath the numbers is also moving. After several years of hard-market repricing, US property and casualty underwriting turned profitable again in 2024 and hit its strongest level in years in 2025. But that peak is already pushing insurers to compete on price, and the question leaders are asking has moved from “Can we get rate?” to “Can we hold margin as the cycle softens?” The 30 metrics below are the ones that answer those questions. Knowing which to reach for, and when, is the real skill.
What Is an Insurance KPI?
An insurance KPI is a specific, measurable figure that shows how well a carrier, managing general agent, or agency is meeting a defined business goal, such as profitability, growth, retention, or operational efficiency. Tracking these figures lets a company measure its progress against its own past results and competitors, as well as wider industry benchmarks.
Insurance KPIs take different forms: ratios, percentages, dollar figures, and time spans. Most are reviewed on a set cadence—daily, monthly, quarterly—so problems show up as trends on the dashboard before they appear in results.
Key Takeaways
- Insurance KPIs sort into four categories—profitability, growth, retention and customer experience, and operational efficiency.
- Insurance is unusual in that a few metrics are effectively mandatory—combined ratio, loss ratio, and surplus all carry regulatory and rating-agency weight—while others are left to each company’s judgment.
- No single team or company should track every KPI in this article; the metrics that matter most depend on your role, whether you’re a carrier or an agency, and where the market sits in its cycle.
- A KPI is only as reliable as its underlying data, so if that data is scattered, out of date, or defined differently across teams, the metric will be compromised from the start.
- AI and automation are making real-time, granular measurement far more attainable and turning the quality of underlying data into a KPI in its own right, because poor data at the outset actively weakens the AI decisions it supports.
Insurance KPIs Explained
Insurance KPIs are best understood within the context of four distinct categories, each defined by a specific business concern. Profitability indicators, such as combined ratio and net profit margin, ask the most basic question: Do the policies make money? Growth metrics, such as gross written premium and new policies per agent, track whether the book of business is growing. Retention and customer-experience metrics, such as client satisfaction score and renewal rate, gauge whether existing clients are happy enough to stay. And operational metrics, such as claim settlement cycle time and quote-to-bind ratio, show how efficiently the work gets done. Sorting metrics this way makes it easier to see which ones belong on a given dashboard.
In insurance, several metrics are effectively mandatory. Regulators and rating agencies expect to see combined ratio and loss ratio, along with surplus, and those metrics drive how an insurer is judged. The rest are left to each company’s judgment.
Which metrics carry the most weight is also shifting. The long-established anchors, such as combined ratio, loss ratio, expense ratio, and retention rate, aren’t going anywhere. But the numbers that increasingly separate strong performers from weak ones are the leading indicators; these include quote-to-bind and claims cycle times, digital-experience scores, severity trends by peril, and the quality of the data feeding a carrier’s AI models. Not surprisingly, AI is a big part of this shift. It’s not only changing how the work gets done, but also which numbers can be measured and how fast. As a result, metrics that once refreshed quarterly can now be watched continuously.
30 Essential KPIs Insurance Agencies Should Be Tracking
The following key metrics span all four categories, from the profitability ratios that regulators watch to the operational figures a single producer checks each morning. They run in loose thematic clusters—profitability, retention, claims, and sales. Which metrics matter most depends on who’s reading. An underwriter and an agency principal would build very different ERP dashboards from the same 30, for example.
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Combined Ratio
If you check just one number to judge underwriting health, this is the one. The combined ratio melds claim losses with the expenses of running the business, then measures both against premiums earned. If the ratio is below 100%, the insurer makes money; above it, underwriting loses money. That’s why it’s often the first number an executive or regulator looks at to judge a book of business.
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Loss Ratio
The loss ratio shows the portion of earned premiums an insurer pays out in claims. It’s the largest input into the combined ratio, and the clearest signal of how well an insurer evaluates and prices the risks it assumes. A single reading means little on its own. A loss ratio is one that demands action. Is the culprit the insurer’s own pricing or underwriting, or just a bad run of severe claims?
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Gross Written Premium (GWP)
Gross written premium is every premium dollar booked, before subtracting reinsurance costs or cancellations. It’s the top-line measure of how much business a company is bringing in, which makes it the baseline nearly every growth and profitability metric is measured against. On its own, GWP says nothing about whether a business is profitable. A book can grow quickly while losing money. It’s most useful when read alongside the loss and combined ratios.
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Net Earned Premium (NEP)
Gross written premium captures what comes in the door, while net earned premium shows what the insurer can count as revenue. NEP subtracts reinsurance costs from premiums earned and adjusts for coverage that hasn’t been provided yet. It’s the figure most profitability ratios are built on and is a more honest reflection of financial condition than GWP.
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Underwriting Margin
Strip out investment income, and what’s left is the underwriting margin, which is the profit from writing policies alone. It’s the mirror image of the combined ratio—a positive margin means premiums are more than covering claims and expenses, while a negative one means the book is losing money sans investment returns. And because it ignores investment income entirely, it exposes the weak underwriting that investment gains can hide.
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Net Profit Margin
Net profit margin is what’s left after all costs—claims, operating expenses, taxes, and interest—are paid. Unlike the underwriting margin, it captures the whole business, including investment income, which, for many insurers, makes up a meaningful share of profit. Net profit margin is the widest measure of financial strength on this list, and the one owners and investors focus on most.
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Expense Ratio
Expense ratio measures the cost of acquiring and servicing policies—commissions, underwriting, and operating expenses—as a share of premiums. Adding it to loss ratio results in combined ratio, which tips into a loss above 100%. The two ratios stack, so even when loss ratios are low, high expenses can push a book past that line. Expense ratio is often the first place carriers look to improve margins without boosting prices.
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Return on Equity (ROE)
Return on equity weighs profit against the capital shareholders have invested. It’s important to investors and rating agencies, because it shows whether the business is using capital effectively. A strong ROE signals that an insurer is generating healthy returns on money at risk. Even at a company posting positive net income, an ROE below 10%–12% can prompt questions about how capital is used.
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EBITDA
EBITDA—earnings before interest, taxes, depreciation, and amortization—captures the profit from core businesses before financing and taxes enter the picture. For agencies and brokerages especially, it’s a common yardstick for operational performance and central to valuations when a firm is bought or sold. Because it sets aside debt levels and tax situations, it makes it easier to compare the underlying earning power of two firms.
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Retention Rate
The old adage remains true: Keeping a customer costs far less than winning a new one. And those savings widen every year a customer stays. That’s what makes retention rate—the share of customers who renew from one period to the next—a proxy for profitable growth. Lose even a few points and an agency has to write more new business just to stand still, which is why companies guard retention rate as vehemently as any sales metric. Today, such vigilance is particularly important. The bundled, high-value customers insurers count on are the ones rethinking their loyalty. Research firm JD Power found only 51% of high-value insurance customers said they’ll definitely renew, with a record 57% of auto customers saying they shopped their coverage in 2025.
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Renewal Rate
Renewal rate—the percentage of policies that are renewed when they expire—is a close kin to retention. But where retention tracks customers, renewal rate counts individual policies. A client who renews two of three policies is measured by both metrics. Watching them side by side can reveal whether a book is losing clients or just shedding individual policies.
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Claims Settlement Ratio
The claims settlement ratio answers a blunt question: Of the claims filed, how many does the insurer actually pay? The metric is most established in India, where a regulator publishes each insurer’s ratio annually, which consumers then use to compare life and health coverage. US insurers don’t report a packaged “claims settlement ratio” in the same way, but the underlying issue—how reliably an insurer honors its claims—is just as important. The closest US equivalents are internal claims-paid rate (which carriers track for themselves) and JD Power’s “fairness of settlement” dimension, one of the weighted factors in its closely watched claims-satisfaction studies.
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Average Cost per Claim
Average cost per claim—total claims dollars divided by number of claims filed—is particularly telling when broken out by line, claim type, or region. That’s because severity rarely moves in lockstep across them. For example, LexisNexis Risk Solutions found that, in 2024, US auto bodily injury severity jumped 9.2% and property damage severity rose 2.5%, even as collision severity fell 2.5%. So a book priced on last year’s blended average could show a loss in one coverage despite looking fine overall.
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Claim Frequency
Claim frequency indicates how often claims are filed for a book of policies, generally expressed as claims per 100 or 1,000. It’s typically falling, which may sound good, until you realize the cost for each claim. For example, in 2025, US home insurance claim frequency fell 23.8%. All-peril severity, on the other hand, notched an all-time high, up 25.9%. Fewer claims but each more costly, meaning the same book can look calmer and more dangerous all at once.
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Claim Settlement Cycle Time
Claim settlement cycle time is how long it takes to resolve a claim, from first notice of loss to final payment. It’s a driver of customer satisfaction and it hits the bottom line, as well. The longer a claim stays open, the more loss-adjustment expense it accrues. Carriers are already using AI to compress cycle time. UK insurer Aviva rolled out more than 80 AI models in claims, cutting complex-liability assessment time by 23 days and customer complaints by 65%. The insurer saved more than £60 million ($82 million) on motor claims in 2024.
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Losses Incurred
Losses incurred is the sum of all costs of an insurer’s claims in a given period. That includes not just the money already paid out but also money set aside for claims still being settled, sometimes for estimates on pending claims that haven’t yet been reported. For example, an insurer can owe for a car accident or storm damage that occurred in December, yet won’t show as a filed claim until January. Because it tallies what the insurer truly owes, losses incurred feeds directly into the loss ratio (it’s the claims figure that gets measured against premiums) and gives a more honest read on a period’s cost than paid claims alone.
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Administrative Costs per Policy
Administrative costs per policy divides back-office overhead (think: billing, servicing, technology, and support staff) by the number of policies in force. It shows how efficiently an insurer deals with the day-to-day back-office work of maintaining coverage. A lot of this expense is fixed, so the number typically falls as a book grows. As a result, it’s a helpful gauge of whether scale leads to efficiency.
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Average Revenue per Client
Average revenue per client gauges the value of each relationship by dividing a book’s total revenue by the number of clients. In doing so, it often bubbles up cross-sell opportunities that a policy-level view might miss. A rising figure can signal better client relationships; a flat one may point to a book that’s growing in count but not depth.
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Average Policy Size
Average policy size divides total premium revenue by the number of policies to deliver a quick read on the size of policies an agency writes (e.g., many small policies or a mix of sizes). It shapes everything from commission income to servicing workload. Watching it over time can gauge whether a book is leaning toward smaller, higher-touch accounts or larger, more efficient ones.
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Bind Rate
Bind rate is where effort becomes revenue. It’s defined as the share of quoted policies a customer buys. And when it slips, it can indicate that there’s a kink in the sales chain—quotes are overpriced, aimed at the wrong prospects, or taking too long to get to the finish line.
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Quote-to-Bind Ratio
The quote-to-bind ratio tracks how many quotes turn into bound policies, expressed as a percentage of quotes issued. Although it’s closely related to bind rate (and often used interchangeably), it measures how much quoting activity it takes to produce a sale. Speed is key to this ratio, because prospects often shop several carriers at once. Faster, more automated quoting has become one of the surest ways to lift this metric.
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Quote Rate
Quote rate focuses higher in the funnel than bind rate by tracking how many inquiries result in quotes. What counts as “low” depends heavily on the lead source (warm referrals should get quotes at a far higher rate than cold purchased leads, for example), so it’s most telling when tracked against a company’s own baseline and by producer. A low quote rate can point to slow response times, a cumbersome intake process, or producers screening out too many leads before quoting.
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Cost per Quote
Cost per quote measures what an insurer spends to get a prospect to the quoting stage (including, but not limited to, the costs of marketing, lead development, and the labor of preparing the quote) divided by the number of quotes produced. On its own, a low cost per quote isn’t automatically good, because cheap quotes that never bind reflect wasted effort. It’s most useful when paired with bind rate, which shows whether those quotes actually turn into revenue.
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Cost per Bind
Cost per bind measures what a company spends to win a single policy by dividing total acquisition cost by the number of policies bound. Where cost per quote tracks the price of activity, cost per bind tracks the true cost of acquiring a customer. It’s an efficiency measure that ties to profitability. If cost per bind creeps above the revenue a policy generates over its lifetime, the company is effectively paying to lose money on new business.
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Cost per Bind by Vertical
Cost per bind rarely looks the same across a book, which is why it helps to split this metric by vertical, such as personal auto, homeowners, and small commercial. An agency can post a healthy average, despite losing money in one vertical, by making up for it in another. Tracking this KPI shows exactly where acquisition spend is paying off and where it isn’t. That helps an agency shift marketing dollars and producer effort toward the segments that deliver a profitable return.
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Underwriting Cycle Time
Underwriting cycle time measures how long it takes for underwriting to approve or decline an application. Slow underwriting frustrates producers and customers, and opens the door for competitors to bind the business. Faster decisions up the odds of winning it, which is why AI is having such a big impact. Automating data gathering with AI lets underwriters clear standard submissions quickly, so they can reserve their judgment for the complex ones that need it.
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New Policies per Agent
New policies per agent measures how many new policies each producer writes during a period, which gives a straightforward read on individual sales productivity. It helps an agency identify top performers and point out producers who may need coaching or support to increase productivity. Alone, it rewards volume over value, so it’s best paired with such metrics as average policy size or cost per bind.
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Policies in Force per Agent
Where new policies per agent counts fresh sales, policies in force per agent counts the full active book a producer manages. It shows the ongoing book a producer needs to service and renew, which makes it as much a workload and retention gauge as a sales marker. The ideal number depends on the book—a personal-lines producer can handle far more policies than one writing complex commercial accounts—so what counts as high or low depends on the firm. A count that climbs above what’s typical can signal a producer pulled in too many directions, while a low one may point to untapped capacity or a book that isn’t sticking.
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Client Satisfaction Score
A client satisfaction score (usually captured through polling) gauges how customers feel about their experience with an insurer or agency. The most rigorous versions weigh multiple dimensions, rather than basing results on a single question. JD Power’s closely watched claims studies, for example, consider such factors as trust, fairness of the settlement, time to settle, and communication. The claims experience carries outsized weight: JD Power found that auto and home customers who rate their digital claims experience as “poor” or “just OK” are 52% likely to leave or not renew, versus just 4% of those who rate it “excellent” or “perfect” and nevertheless depart.
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Growth Rate
Growth rate measures how quickly a book of business is expanding, usually as a year-over-year change in premium, policy count, or revenue. It’s the top-line context that every other metric is read against. Strong loss ratios and retention mean one thing in a growing book and another in a shrinking one. Growth is also a moving target set by market conditions—the same growth rate can look strong or weak depending on where the general cycle sits. After a stretch of hard-market gains, Swiss Re projects US property and casualty premium growth slowing to about 3% in 2026, down from 9% through Q3 two years earlier, as competition grows.
The 3 Most Common Insurance KPI Reporting Mistakes
Agencies that choose to track the strongest metrics may still struggle to use them effectively. That’s because the value of the KPIs could be undermined by the quality of the data behind them and the way the results are presented. When the underlying data is scattered or inconsistent, KPIs will be flawed to begin with. And when strong KPIs are out of date or buried in clutter, no one acts on them. The following mistakes are among the most common KPI pitfalls:
- Poorly organized data: Many companies have the raw data they need, but it’s scattered throughout various portals and disconnected spreadsheets. Dispersed data requires manual reconciliation, which results in slower, more error-prone reports. Thorough data management on one reliable platform is the crucial first step.
- Reporting that lacks meaningful insight: An accurate report can still fail to reveal anything helpful. That may be because the numbers lack context. A retention rate of 88% doesn’t say much on its own but delivers real insight when measured against a prior period, a target, or a peer benchmark. Another problem is too much data. A report that tries to show everything ends up telling the reader nothing they can act on. The most recent research suggests that people can hold about four pieces of information in their minds at one time, and KPI authority David Parmenter argues that an organization needs only about 10 true KPIs to run itself.
- Inaccurate or inconsistent data: A KPI is only as trustworthy as the data behind it, and stale numbers and inconsistent definitions undermine that trust. For example, a bind rate that updates weekly is too slow for a producer adjusting quotes daily, even if it’s perfectly timely for a quarterly assessment. Inconsistency is subtler: When “retention rate” is calculated one way by one team and differently by another, the same metric tells conflicting stories. Documenting how each KPI is calculated—and showing how fresh the data is—supports their value.
3 Tips for Effectively Tracking Insurance KPIs
The agencies that get the most from their metrics treat tracking as a deliberate practice. The following three principles separate KPIs that drive action from numbers that are simply stored in software:
- Align metrics with your corporate goals: Every KPI an agency tracks should connect to a specific goal and a person or team who can act on it. Start from what the business is trying to achieve, such as improving retention or speeding up claims. Then work backward to the handful of measures that show progress and funnel them to the people positioned to respond.
- Develop different dashboards for different stakeholders: The same numbers rarely serve everyone equally. A claims manager watching cycle time and cost per claim needs a different view from an underwriter assessing loss ratio by segment. Role-specific views give each team a focused set to act on.
- Use real-time metrics where they change decisions: Match the data refresh rate to the decision. A producer adjusting quotes, or a claims team managing open files, benefits from up-to-the-hour numbers. But retention and profitability trends are read over months, so constant updating is pointless. Newer systems make live tracking possible across the board, so the real question is determining whether doing so actually sharpens a decision.
Track the KPIs That Matter With NetSuite ERP
Tracking the right KPIs depends on having trustworthy data in one place. When that data is stored in disparate spreadsheets and disconnected systems, KPIs will be compromised before they’re calculated. NetSuite Insurance ERP tackles the data-organization problem by combining financial, policy, customer, and claims data in a single unified cloud platform of record.
With that data in place, NetSuite’s analytics and live dashboards track premium trends and cash flow in real time. And NetSuite’s considerable investments in AI have added more power. Not only does the software detect shifts and outliers that deserve a closer look, but it also puts AI agents to work on the metrics themselves. Intelligent Performance Management scours forecasts and variances to point companies toward the trends and exceptions behind their numbers. Agents built for the financial close track processes throughout each month and suggest fixes for exceptions, working within the permissions and approval flows a company already has. And the platform spans multiple entities, currencies, and lines of business. That means insurance companies and agencies can view performance that spans the whole organization, or they can drill into a single region or product line. Each team can tap into focused, role-relevant information so decisions are always grounded in the most up-to-date data.
No company should track all these metrics. The handful that matter to each company depends on who you are, what you want to achieve, and where the market sits in its cycle. The best-run firms have figured out the few metrics that actually change what they do, an edge that only grows as AI makes nearly everything measurable in real time.
Insurance KPIs FAQs
What are the 5 most important insurance KPIs?
There’s no definitive list of top five KPIs, because the most important ones depend on your role and whether you’re a carrier or an agency. That said, a widely useful core set includes combined ratio and loss ratio, retention rate, growth rate, and a customer or claims measure, such as client satisfaction score. Together, they cover profitability, growth, and the customer relationships that sustain both.
What’s the difference between an insurance loss ratio and an insurance combined ratio?
Loss ratio shows the cost of claims alone, while combined ratio shows whether the business is profitable once the cost of running it is included. A combined ratio below 100% means the insurer is making money on underwriting before incorporating any investment income.
How can insurers improve their KPI reporting?
Start by centralizing data into one reliable source, so numbers are consistent and trustworthy before anyone builds a report. From there, focus each dashboard on the few metrics a given team can act on. Finally, match how often data refreshes to how the metric is actually used, and document how each KPI is calculated so the same measure means the same thing across teams.
