Plan Match Before Agent Match: The Next Evolution in Health Plan Marketing
The health plan industry has become highly efficient at distribution. The harder, more important problem is plan alignment, ensuring consumers are matched to the right plan before the distribution process begins. Predictive analytics and actuarial data can model expected needs without asking consumers to guess their future healthcare utilization. The result is a higher-quality lead, a more valuable agent conversation, and a better outcome for everyone in the ecosystem.
CEO & Co-Founder, Inspire Health Tech | Strategic Health Tech Advisor, VHealth
Key Takeaways
- →The health plan industry has optimized distribution, but distribution efficiency is not the same as plan fit. The two are often in tension.
- →Consumers are poor predictors of their own future healthcare utilization. Predictive analytics and actuarial modeling can do that work for them, without requiring guesswork.
- →Flipping the sequence, plan alignment before agent engagement, elevates the agent's role from product salesperson to trusted advisor.
- →Plan fit is a quality metric the industry has historically underdeveloped. As healthcare becomes more data-driven, it may become one of the most important metrics in distribution.
- →Misaligned incentives across the distribution chain, from lead generator to agent to carrier, are increasingly difficult to ignore as regulatory pressure tightens.
Imagine you're booking a flight from Milwaukee to San Diego.
You go online and indicate that you'd like to travel. Within minutes, airlines, travel agencies, and booking services begin contacting you. Each asks where you want to go and recommends flights from within the routes and carriers they happen to represent. They try to get you to commit, but you wonder: are there other flights that are cheaper or that take less time?
Most consumers would find that process absurd. Yet much of today's health plan marketing ecosystem still operates this way.
The Distribution-First Problem
Consumers are often routed into a marketing and distribution channel before an objective determination is made regarding which health plan is most likely to fit their healthcare needs. The industry has become remarkably sophisticated at moving consumers efficiently into, and through, enrollment pathways. Some consumers are convinced to switch multiple times. Scarce attention has been devoted to ensuring those pathways begin with a rigorous evaluation of plan fit.
This creates a vast network of misaligned incentives, between the consumer, the lead generator, the lead aggregator, the agent, and the carrier. Nobody along the entire chain knows which plan is right for the consumer.
That imbalance, especially in the wake of increasingly tight regulations seeking to limit distribution-driven incentives, is increasingly difficult to ignore.
The Industry Optimized Distribution
To be fair, there are good reasons the market evolved this way.
Health plans needed scale. Agencies needed consumers. Lead generators needed buyers. Technology platforms needed efficient enrollment workflows. Every participant in the ecosystem became highly effective at solving the distribution problem.
As a result, today's marketplace excels at answering questions such as:
- How do we generate more leads?
- How do we route consumers more efficiently?
- How do we improve contact rates?
- How do we increase enrollments?
Far less attention has been given to a more fundamental question: How do we determine which plan is actually best for a specific consumer before the distribution process begins?
In many cases, plan evaluation occurs only after the consumer has already entered a particular channel, spoken with a particular agent, or engaged with a particular organization. The result is not necessarily bad outcomes, many agents provide exceptional guidance, and many consumers ultimately enroll in suitable plans. The issue is that the system itself remains distribution-driven rather than alignment-driven.
The Limits of Self-Reported Plan Selection
Historically, health plan selection has relied heavily on consumer-reported information and stated preferences. Consumers are asked about physicians, prescriptions, budgets, and anticipated healthcare usage. They are then asked, either explicitly or implicitly, to predict what their healthcare experience will look like over the next year.
The problem is that people are notoriously poor predictors of their future healthcare utilization. Most consumers do not know whether they are likely to become high utilizers or low utilizers. They often underestimate the financial impact of chronic conditions, fail to anticipate emerging healthcare needs, or struggle to accurately assess future utilization patterns.
Asking consumers to estimate their future healthcare experience is not much different than asking them to estimate their future tax liability, future investment returns, or future vehicle maintenance costs. The average person simply lacks the information, and, as it relates to health, frankly, the cold objectivity, necessary to make highly accurate predictions. There is also the fear of "if I'm honest, will I have to pay more?" which skews estimates of future utilization.
The distinction is important:
One approach asks consumers to predict the future. The other models it.
This is where the next generation of health plan management is beginning to diverge from traditional shopping models. Rather than relying primarily on consumer guesswork, predictive analytics, actuarial methodologies, utilization patterns, and claims-informed insights can be used to estimate expected healthcare needs and likely out-of-pocket exposure. The objective shifts from comparing plans to aligning individuals with plans that are most likely to fit their circumstances, given answers to very simple questions, with no guessing required.
Plan Alignment Before Agent Alignment
The most significant implication may be a simple change in sequencing. For decades, the industry has largely operated according to the following model:
An emerging model flips things around:
This is not an argument against agents. In fact, it may be the strongest argument for elevating their role. When consumers arrive already aligned to a likely best-fit plan or a small set of objectively suitable options, the nature of the conversation changes. The agent spends less time acting as a product salesperson and more time acting as a trusted advisor, educator, and enrollment expert.
The discussion becomes less about narrowing dozens of possibilities and more about validating recommendations, answering questions, addressing concerns, and helping consumers make informed decisions.
In other words, the agent's expertise becomes more valuable, not less.
A pre-aligned consumer may ultimately represent the highest-quality lead in the marketplace. The consumer receives more personalized guidance. The agent spends less time sorting through unsuitable options. The health plan gains a member whose expected needs more closely match the plan's design. Everyone wins.
The Next Metric That Matters: Plan Fit
The health plan industry measures many things exceptionally well: enrollment volume, acquisition cost, conversion rates, retention, and market share. But one metric remains surprisingly underdeveloped:
Plan Fit
Did the consumer enroll in the plan most likely to meet their healthcare needs?
As healthcare becomes increasingly personalized and data-driven, that question may become one of the most important metrics in the industry. The next decade of health plan management may not be defined by better distribution, better marketing, or even better plans. It may be defined by a simple shift in priorities.
For years, the industry has focused on getting consumers to agents. The next frontier is making sure consumers are aligned to the right plans before they ever get there.
Plan alignment before agent alignment is not merely a new technology model. It is a higher-quality lead which lead buyers and agents are beginning to demand. In a larger sense, it is a new, and long overdue, way of thinking about how health plan decisions should be made.
CEO & Co-Founder, Inspire Health Tech | Strategic Health Tech Advisor, VHealth
Mark Seghers is a veteran of the health insurance and lead generation industries and a frequent industry speaker and advocate for transparency, consumer choice, and higher-quality lead generation practices. He is CEO and co-founder of Inspire Health Tech, which enables a flexible, easy-to-use API that helps consumers find health plans that best fit their individual needs through data-driven, predictive plan recommendations. He is also a co-founder of the Insurance Marketing Coalition (IMC) and the Lead Quality Alliance (LQA).
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