B2B insurance and insurtech market research: reaching underwriters, brokers, claims and risk leaders
Insurance is hard to research because the buyers are specialized, regulated, and spread across carriers, brokerages, and MGAs. This guide covers who you need to reach, the methods that work, and how to source verified insurance professionals quickly.
B2B insurance and insurtech market research is research conducted with verified insurance professionals, underwriters, brokers, agents, claims leaders, actuaries, and risk managers, to inform insurtech products, distribution strategy, and go-to-market decisions. It is one of the harder B2B verticals to run well, because the buying decision is split across carriers, brokerages, managing general agents, and reinsurers, each of which sees the same product differently, and because the people whose answers matter are specialized, regulated, and scarce. This guide covers why insurance is hard to research, who you actually need to reach, the methods that work, and how to source real professionals fast enough to hit a decision deadline.
Someone searching for an insurance market research company usually has an insurtech product, a distribution play, or a pricing decision riding on what real underwriters and brokers think, and has discovered that reaching a commercial lines underwriter at a regional carrier is nothing like reaching a general consumer panel. The constraint is almost always sourcing and verifying the right professionals.
Why insurance is one of the hardest verticals to research
Three forces make insurance uniquely difficult, and they compound one another.
First, the value chain is fragmented. A single insurtech product can touch a carrier that holds the risk, a broker or agent that distributes it, a managing general agent that underwrites on the carrier’s behalf, and a reinsurer that absorbs the tail. Each of these firms has different economics and different buying criteria, and a finding that is true for brokers can be false for carriers. Mapping the chain before you field anything matters as much here as the methodology itself, which is why our guide to recruiting insurance agents and brokers for insurtech research treats role and firm type as the first screening decision, not an afterthought.
Second, insurance professionals are specialized and regulated. An underwriter in cyber lines cannot speak credibly to workers’ compensation, and a personal lines agent sees nothing of large commercial risk. On top of that, carriers and brokerages operate under state and national regulatory regimes, enforced in the United States through the National Association of Insurance Commissioners and documented in market data from the Insurance Information Institute, and in specialty and global markets through institutions like Lloyd’s. Researchers have to respect what professionals can and cannot disclose about pricing, reserves, and claims practices.
Third, insurance is a high-value target for fraudulent respondents. Incentives for senior underwriting and claims roles are high, which attracts professional survey-takers who misrepresent themselves to qualify. A screener that simply asks “are you a chief underwriting officer?” is trivial to defeat, and a single fabricated respondent at a senior level can skew a small, high-stakes sample. Industry outlooks from Deloitte and McKinsey consistently show how much strategy now rides on getting the frontline practitioner view right, which raises the cost of getting the sample wrong.
The usual approach, buy a panel and field a survey, breaks down here. Generic panels cannot reliably deliver a verified cyber underwriter at a specialty carrier, and unverified panels will cheerfully hand you someone pretending to be one.
Who you need to reach
Insurance is not one audience. The right participant depends entirely on the decision, and mixing roles produces results that look rigorous and mislead badly.
Underwriting and pricing leaders are underwriters, actuaries, and chief underwriting officers who own risk selection and pricing. They are the right audience for underwriting-workbench, pricing, and risk-scoring products, and they evaluate on loss ratios and defensibility, not features.
Distribution professionals are retail brokers, wholesale brokers, agents, and agency principals who own the relationship with the insured. They matter for quoting, placement, and agency-management products, and reaching them is the subject of our guide to recruiting insurance agents and brokers.
Claims leaders are adjusters, claims managers, and special investigations teams who own loss settlement and fraud detection. For claims-automation and fraud products these are both the users and the economic buyers.
Risk and reinsurance buyers are risk managers, chief risk officers, and reinsurance buyers inside large insureds and carriers. They matter for enterprise risk, captive, and reinsurance decisions, where the evaluator is senior and the purchase is slow and consultative. Reaching this seniority follows the same logic as our guide to recruiting senior B2B decision-makers for research.
The table below maps common decisions to the professionals you need.
| Decision | Primary audience | Secondary audience | Sourcing difficulty |
|---|---|---|---|
| Underwriting or pricing product | Underwriters, actuaries, CUOs | Portfolio managers | Very high: line of business plus seniority |
| Quoting or distribution product | Brokers, agents, agency principals | Account managers | High: firm type plus book of business |
| Claims automation or fraud product | Claims adjusters, claims leaders | Special investigations | High: role plus line of business |
| Reinsurance or enterprise risk | Risk managers, CROs, reinsurance buyers | Captive managers | Very high: narrow senior role |
| Policy admin or core system | IT and operations leaders at carriers | Underwriting operations | Medium to high: role verification |
Why verification decides the study
In insurance, verification is not a quality nicety. It is the difference between a finding you can take to a pricing committee and one that quietly wrecks a roadmap. Because the senior roles are scarce and the incentives to fake them are high, the single most important design choice is how you confirm each participant is who they claim to be.
Credible verification checks a participant’s work profile, employer, line of business, and seniority against trusted professional data before they enter the study, rather than trusting a self-reported screener. A near-miss role, a personal lines agent answering as a commercial underwriter, produces confident, specific, and wrong data, which is worse than no data because teams act on it. This is the same discipline that separates reliable from unreliable panels in our comparison of B2B market research agencies, DIY platforms, and verified panels.
Methods that work for insurance research
The method follows the decision. Four approaches carry most insurance studies.
Expert interviews are the backbone of early insurtech research. Twelve to twenty structured conversations with the right underwriters or brokers will surface the workflow, the objections, and the language a product has to win on, long before a survey can. The craft of sourcing, screening, and running these sits in our guide to B2B market research expert interview methods.
Concept, pricing, and packaging tests validate whether a product and its price survive contact with real buyers. In insurance this means testing against underwriters who will judge a risk-scoring claim on loss experience, or against brokers who will judge a quoting tool on speed to bind. The structure of these studies is covered in our guide to B2B concept, pricing, positioning, and packaging research.
Win-loss analysis explains why deals with carriers and brokerages closed or stalled, which matters enormously in a vertical with long, committee-driven sales cycles. Running it at scale, with the actual buyers rather than your account team’s memory, is the subject of our guide to B2B win-loss analysis at enterprise scale.
Market sizing and segmentation surveys quantify demand across carrier types, broker tiers, and lines of business. These need 100 to 300 verified respondents per segment and live or die on whether the sample is genuinely who it claims to be.
Whichever method you choose, the governing standard for how insurance professionals are recruited, incentivized, and quoted should follow a recognized research code such as the one maintained by ESOMAR, which protects both the participant and the credibility of the finding.
Sample sizes and timelines
For qualitative work, plan 12 to 20 participants per role or line of business to reach saturation. For quantitative work, plan 100 to 300 verified respondents per key segment, and more when you are comparing carrier types, broker tiers, or geographies. The target number is rarely the constraint. The constraint is how fast you can source verified senior insurance professionals, who are few and slow to reach.
With an always-on verified network, a focused insurance study runs in two to five weeks: roughly one to two weeks of fielding plus analysis. Teams that still rely on agencies or cold outreach routinely spend that entire window just finding people, which is why our guide to running fast B2B market research in days treats sourcing speed as the real lever. The same sourcing logic carries across verticals: it is the backbone of our work on B2B cybersecurity market research with CISOs and IT buyers, our companion guide to B2B telecom market research with network, IT, and procurement decision-makers, and our guide to B2B pharma and life sciences commercial market research with market access and medical affairs leaders.
A practical workflow
A reliable insurance study follows a repeatable sequence. First, define the decision and the exact role, line of business, and firm type that can inform it. Second, write a screener that qualifies on verifiable attributes, not just self-reported titles. Third, verify every participant against professional data before they enter. Fourth, field in waves so you can tighten the screener if early responses reveal a mismatch. Fifth, analyze by segment, never pooling carriers with brokers or personal lines with commercial. For teams newer to the vertical, our overview of how to conduct market research methods, process, and tools sets the broader frame this workflow fits into.
The firms that get insurance research right treat it as a sourcing and verification problem first and a methodology problem second. The method is well understood. Reaching a verified cyber underwriter or a wholesale broker on a deadline is the hard part.
Frequently asked questions
What is B2B insurance and insurtech market research?
It is research conducted with insurance professionals such as underwriters, brokers, agents, claims leaders, and risk managers, rather than with policyholders or general consumers, to inform insurtech products, distribution strategy, and go-to-market decisions. It spans demand sizing, concept and pricing testing, buying-process research, and win-loss analysis, all with verified professionals who hold the specific role, line of business, and seniority the study requires.
Why is insurance harder to research than other B2B verticals?
The decision rarely sits with one person. Carriers, brokerages, managing general agents, and reinsurers each have distinct economics, and an underwriter, a broker, and a claims leader see the same product completely differently. The professionals are specialized by line of business, bound by regulatory and confidentiality constraints, and scarce at the senior level, so reaching the exact role at the right type of firm is a sourcing problem generic panels rarely solve.
Who do you need to reach for insurance market research?
It depends on the decision. Underwriting and pricing products need underwriters, actuaries, and chief underwriting officers. Distribution and quoting products need brokers, agents, and agency principals. Claims products need claims adjusters, claims leaders, and special investigations teams. Risk and reinsurance decisions need risk managers, chief risk officers, and reinsurance buyers. The constant is that every participant must be a verified professional in the exact role and firm type the study targets.
How do you verify that a research participant is a real insurance professional?
Credible verification checks identity against professional data rather than trusting a self-reported screener. That means confirming a participant’s work profile, employer, line of business, and seniority against trusted sources before they enter the study. In insurance this matters because incentives attract people who claim a senior underwriting or claims role to qualify, and a fabricated respondent at that level can invalidate a small, high-stakes sample.
How many insurance professionals do you need for a study?
Qualitative interviews usually run 12 to 20 participants per role or line of business to reach thematic saturation. Quantitative surveys that size demand or test pricing typically need 100 to 300 verified respondents per key segment, more when you are comparing carrier types, broker tiers, or geographies. The binding constraint is rarely the target number but how fast you can source verified senior insurance professionals.
How fast can insurance market research be done with verified professionals?
With an always-on verified network, a focused insurance study runs in two to five weeks: roughly one to two weeks of interviews or survey fielding plus analysis. The slow variable is sourcing credentialed underwriters, brokers, claims, and risk professionals at the right firm type, so a network that can match and verify them on demand compresses the timeline more than any other single change.
Source verified insurance professionals with CleverX
CleverX gives insurance and insurtech teams direct access to a network of more than 8 million verified B2B and B2C professionals across 150+ countries, including underwriters, brokers, agents, claims leaders, actuaries, and risk managers whose roles and seniority are checked against professional data before they ever enter a study. That means you reach the exact line of business and firm type your decision depends on, screen out fabricated respondents, and get results in days rather than the weeks an agency or cold outreach would take.