Researching a company's complaint record before you apply

A financial strength rating tells you whether an insurer can pay. A complaint record gives you a clue about how it behaves when it is asked to: how it handles claims, billing, changes and the people who call. The data is public, free and a little awkward to read, and a half hour spent with it before you apply can save you from a company whose service pattern you would rather avoid. It can also keep you from rejecting a perfectly good company over a statistical blip.

This playbook goes in order, from finding the right entity to deciding what the numbers mean. The companies and figures in the examples are invented. If you want the definitions first, the guide to the The NAIC complaint index and how to use it explains the formula, and this post is about how to use it well.

What complaint data can and cannot tell you

State insurance departments take complaints from policyholders and beneficiaries, log them by company and type of problem and sort them by outcome. The National Association of Insurance Commissioners (NAIC) collects the data from the states and makes company-level information available through its Consumer Insurance Search. Some state departments publish their own tables as well.

What it can tell you. Whether people who had a problem and took the trouble to complain to a regulator did so more or less often than the company's size would predict, which lines of business generate the complaints, and whether the pattern persists across years.

What it cannot tell you. It does not count denied claims, only complaints that reached a regulator. It does not tell you whether a complaint was justified unless the state classifies the outcome. Many disputes never reach a regulator, because the consumer settled with the company, hired a lawyer or did not know a complaint was possible. And it is backward-looking: a company that has changed owners or processes since may differ from last year's record.

Treat complaint data as one input next to ratings and your own questions, not as a ranking of who is best.

The eight steps

Step 1: Pin down the legal entity

Large insurers are groups of separately licensed companies, and complaints are recorded against the entity that issued the policy, not the brand. If you search the brand name, you may get a different entity, a holding company or nothing.

1. Get the full legal name of the issuing company from the quote, the application or the agent. Ask in writing if unclear.
2. Note the product line you are buying: life, annuity or accident and health. Complaint data is split by line.
3. Note the state where you live. Complaint and licensing records are state-based, and your state's department is the one that would handle your own complaint.

Step 2: Find the data

1. NAIC Consumer Insurance Search. Search the company on content.naic.org. Choose the exact entity, open its complaint information and select the line of business. The NAIC site has at times used browser checks that block automated tools, so use an ordinary browser.
2. Your state insurance department. Many departments publish complaint information or an index by line of business, and some list enforcement actions. A web search for your state's department and "complaint index" or "company complaint data" is the way to find it; the department's contact page is listed in state insurance departments: what they do for you. Some departments will take a phone call and tell you what they can share.
3. Enforcement and exam records. Regulators publish orders, fines and settlements. A market conduct exam is an audit of how a company treats customers; see market conduct exams: how regulators audit life insurers and issue fines for how these work and where results appear.

Record for each source: the entity, the year or period, the line of business and the numbers. A page of notes, one row per year, is enough.

Step 3: Read the numbers against size

The NAIC complaint index is a ratio: the company's share of complaints in a line divided by its share of premium in that line. An index of 1.00 means complaints in proportion to size. Below 1.00 is better than average and above 1.00 is worse.

The arithmetic, with an invented example. Say there were 2,000 life insurance complaints in a year across all insurers in your state, and Company A drew 40 of them. That is 2% of the complaints. Say Company A wrote 1% of the life premium in the state. The index is 2% ÷ 1% = 2.00: twice as many complaints as its size would predict.

Now take Company B, a small insurer with 2 complaints out of the same 2,000, so 0.1%, and a 0.02% premium share. The index is 0.1 ÷ 0.02 = 5.00. That looks alarming, but it comes from two complaints. Add or remove one and the number swings from 2.50 to 7.50. This is why the count matters as much as the ratio.

Reading rule. An index well above 1.00 on a large count is information. An index well above 1.00 on a handful of complaints is noise until it repeats.

Step 4: Look at several years

One year is a snapshot; three to five years show whether anything is a pattern. Make a small table.

That row of numbers is noise around the baseline. Compare another invented company.

Company C has dozens of complaints each year and an index consistently around twice the baseline. That is a pattern. It does not prove wrongdoing, but it is a reason to ask pointed questions and to look at what the complaints are about.

Step 5: Compare lines of business

The same company can look very different in different lines. A group with a fine life record may have a poor annuity or health record, and the reverse. Always read the line you are buying. If you are buying term life, give the life-insurance line the most weight; an annuity or accident-and-health problem is relevant to the company's culture but not to your product.

Also check whether the index is calculated on all complaints or only on those the state found justified, and whether the state counts complaints against the company or the agent. Definitions vary, and the footnotes tell you.

Step 6: Separate noise from pattern

Use the following questions on any set of numbers.

1. Size of the count. Are there enough complaints to mean something? A rough rule is to be cautious with numbers in single digits.
2. Consistency over time. Is the index high every year or only once?
3. Type of complaint. Many states sort complaints by reason: claim handling, underwriting, premium and billing, sales and marketing, policyholder service. A company with many claim-handling complaints is a different concern from one with billing complaints on old policies.
4. Outcome. Where the state reports whether the complaint was confirmed, a high share of confirmed complaints is more telling than a high raw count.
5. Recent change. Has the company been acquired, reorganized its service center or reinsured a block of policies? A sudden jump after a transition can reflect temporary disruption. A decline after remedial action is a good sign.
6. Size and block age. A company with a large block of old policies may attract complaints about billing and lapse notices on those policies that have little to do with new business.

If the numbers show a persistent pattern in the line you are buying, write down what you will ask the agent: how the company handles claims, whether it has had regulatory actions, and what changed.

Step 7: Cross-check with consumer reviews

Reviews and surveys are not the same as complaint data, and they have different biases.

• Online reviews are self-selected. People with a bad experience post more often than people with an ordinary one, and some reviews are solicited or paid. A handful of angry reviews of a large company is expected; a repeated, specific story about the same failure is more informative.
• Customer satisfaction studies such as the J.D. Power life insurance study (What J.D. Power's life insurance study measures) survey real customers, usually about service, but they measure experience with the company in general and may not cover the company you are considering.
• Lawsuits and class actions show disputes that reached court, sometimes about pricing practices on older policies. The guide on life insurance class actions: documented cases and what they paid explains how to read these, and bad faith claim handling by life insurers covers claims-handling disputes. A lawsuit is an allegation, not a finding.

Look for agreement between sources. If the complaint index, the reviews and the enforcement record all point the same way, take it seriously. If only one source is negative, treat it as a question.

Step 8: Decide, and ask the agent

Compare what you found with the rest of your decision. Complaint data is one of several checks. The post on reading an insurer's financial strength without being an analyst covers ratings and the guaranty backstop, and how to choose a life insurance company shows how the checks fit together.

A practical decision frame:

• Clean or neutral record, strong ratings: proceed; ask the usual questions.
• Mixed record in an unrelated line: note it, and look closer at your line.
• Persistently high index in your line, with confirmed claim-handling complaints: ask the agent about it directly; get a quote from another company for comparison; consider whether a small price advantage is worth the risk.
• Regulatory action for claim handling or sales practices: read the order; check whether it concerned your line and whether the company has corrected it.

Questions for the agent: "Has this company had regulatory actions in my line? How does it handle claims? Is there anything about its recent service you would warn me about?" A candid answer is informative, and an evasive one is too.

When the data is thin

Some insurers are new, small or sell only through narrow channels, so the data will be sparse or missing. A company with no index in your state may simply be too small for one to be published, or may have started selling there recently. That is not a bad sign by itself, but it means you have less evidence and should lean more on the other checks.

In that situation:

1. Look at the group. If a recognizable parent or affiliate has a long record, read it, remembering that a different legal entity issues your policy and may be run differently.
2. Ask the agent for the company's history in your state: how long it has been licensed, how many policies it has issued and whether it has had regulatory actions.
3. Call your state insurance department and ask whether the company is licensed and in good standing. Licensing records are public, and staff can confirm the basics.
4. Check the financial side with extra care, since a small or new insurer has a shorter track record.
5. Consider whether a larger, longer-established company at a similar price gives you more evidence for the same money.

None of this makes small or new companies a bad choice. It means the decision rests on a thinner base, and you should know that when you make it.

A one-page recording sheet

Copy this into a note before you start. It keeps you from rereading the same pages and makes two companies easy to compare.

• Company (exact legal entity) and group:
• Line of business and state:
• Years checked:
• Complaints and index for each year:
• Most common complaint reasons:
• Share confirmed or justified, if shown:
• Regulatory actions found, with dates:
• Review themes, repeated or scattered:
• Questions to ask the agent:
• Date of research (the data will go stale, so keep the date):

Keep the sheet with your policy papers. If a problem arises later, a note that shows what you knew when you chose is helpful, and you can compare it with how the company actually behaves.

Worked example

Say Priya is choosing between two highly rated insurers for a 20-year term policy. She goes through the steps in about 40 minutes.

• Entity: both quotes name the issuing company, and she notes the exact names.
• Data: she finds each company's life-line complaint data for three years on the NAIC site.
• Company D: counts of 14, 11 and 16, with indexes of 0.8, 0.7 and 0.9. Reasons are mostly billing and policy service.
• Company E: counts of 33, 41 and 38, with indexes of 1.9, 2.2 and 2.0. Her state department's table shows that claim-handling is the most common reason for E.
• Cross-check: reviews of E mention slow claim processing in several different words. D's reviews are scattered and unremarkable.
• Action: she asks E's agent about claim handling and hears a general answer. She asks D's agent the same question and gets a specific description of the claim process. She also learns D's quote is $4 a month more.

Priya concludes that for a policy she wants to rely on for twenty years, a consistent pattern of claim-handling complaints is worth more than $48 a year. Another buyer might weigh it differently, or ask E's agent for more detail. The method produced reasons, not a verdict.

If you later have a complaint of your own

File it with the insurance department of the state where you live. Complaints create a record, usually require the insurer to respond in writing and become part of the data others will read (how to file a complaint against a life insurer). The commissioner's office, headed by the state insurance commissioner, regulates insurers in the state and can act on patterns.

Key takeaways

• Complaint data shows how often people took a problem to a regulator, by company, line and year. It does not show denied claims or who was right.
• The index divides complaint share by premium share. A big count with an index well above 1.00 across several years is a pattern; a high index on two or three complaints is noise.
• Read the line of business you are buying, and the type of complaint, not just the headline number.
• Cross-check with enforcement records, surveys and reviews, and look for agreement among them.
• Use the result to decide what to ask the agent, and weigh it alongside ratings and price rather than as a ranking.