How to reduce cost-per-policy in life insurance: Where spend leaks and how to stop it

Every life insurance carrier is fighting the same battle: a new business process that was never designed to be cheap, running on infrastructure that's made it more expensive over time. This isn’t a secret. In fact, the industry has known this for many years. Back in 2021, senior life insurance executives surveyed by McKinsey said the industry needed to reduce costs by 35% in the medium term. Despite that, costs as a share of revenue have increased by more than 20% over the last two decades. The gap between ambition and execution is wide and getting wider, costing carriers more and more money on every application they process.

Here, we’ll break down where those costs accumulate across the application lifecycle, and what a modern platform approach actually does to change the math.

How acquisition costs turn into waste

The cost of a life insurance policy starts long before underwriting opens a file. With 92% of life insurance shoppers beginning their journey online (LIMRA), carriers are making significant and necessary investments in digital acquisition. But that spend is only as good as the experience waiting on the other end.

The friction problem is well documented on the consumer side, and application abandonment climbs steeply as product complexity increases. But a 2025 J.D. Power study surfaced something equally important on the distribution side: only 40% of financial professionals say their life insurance and annuity carriers are very easy to work with, and nearly a third report that the balance between self-service and live support falls short of what they need. When agents find your platform cumbersome, they take their business elsewhere. Either way, your acquisition investment doesn't convert.

The cost-per-policy clock starts ticking at the top of the funnel. Carriers that don't plug the conversion leaks at this stage are effectively subsidizing dropped applications.

The NIGO tax

If there's one operational cost driver that deserves more attention than it gets, it's not-in-good-order rates. According to various industry sources, between 30% and 70% of life and annuity applications are submitted NIGO. Each one of those applications triggers a cascade of rework: agent outreach, data re-entry, underwriting delays, and customer frustration that puts the sale at risk.

Beyond that, NIGO is also a cost multiplier. An application that has to be touched two or three times before it can move forward is consuming more labor, time, and vendor costs. For carriers still relying on paper-heavy workflows or disconnected intake systems that don't validate data up front, these costs are hiding in plain sight.

Life insurance e-App intake with real-time validation, which can catch errors before an agent clicks submit, is one of the highest-leverage interventions available. It doesn't just reduce NIGO rates; it eliminates the entire downstream cost chain that follows a bad submission.

The underwriting bottleneck

Underwriting is where the most technically complex costs accumulate, and also where automation has the clearest ROI case. McKinsey research finds that 30–40% of underwriter time at many carriers is spent on administrative work rather than actual risk assessment. That's a significant portion of your most specialized, highest-cost labor doing work that doesn't leverage their expertise.

The answer isn't simply an automated underwriting platform for straightforward cases, though that matters too. It's about building a workflow where human underwriters are given only the cases that genuinely need them, equipped with tools that surface relevant data instantly, and able to order additional data calls without leaving their workbench. Getting the workflow right doesn’t just speed up decisions, it dramatically reduces the cost per case that touches a human underwriter at all.

What the expense ratio gap tells you

The cumulative effect of acquisition friction, NIGO reworks, and underwriting process inefficiency shows up starkly at the carrier level. McKinsey's benchmarking data shows top-quartile life insurance carriers running operations at 2.2% of gross written premiums. Bottom-quartile carriers run at 5.4%. That difference is less about scale and more about technology choices and process design. 

Digital-first carriers have already demonstrated this: their expense ratios run roughly 40% lower than those of traditional insurers, driven by automation, streamlined intake, and integrated platforms that eliminate the redundant handoffs endemic to legacy stacks. The carriers closing this gap aren't doing it through headcount reductions alone. They're doing it by changing the underlying cost structure of every application they process.

What a modern life insurance platform actually changes

The core problem with point-solution approaches to modernization is that they optimize one part of the chain without addressing the others. A new rules engine helps underwriting but doesn't fix NIGO. A better e-app reduces abandonment but doesn't connect to downstream case management. Each improvement is real, but the cost leaks persist everywhere the solutions don't touch.

A unified platform changes the equation because the gains compound. McKinsey research indicates that digital life insurance processes can reduce administrative expenses by 20–30% and cut cycle times by 50–70%. Carriers that have gone further, pursuing what McKinsey describes as domain-level transformation, have seen new customer onboarding costs fall by 20–40%.

At Bestow, platform architecture is built around this logic. Machine learning at the top of the funnel can help identify the right product fit and predict approval likelihood early, reducing wasted effort downstream before it starts. From there, a single platform connecting digital application intake, automated underwriting routing, agent tooling, and post-issue administration keeps data verified and connected throughout. Critically, intelligent sequencing means the platform orders only what's needed, when it's needed, rather than pulling every available data source upfront and passing unnecessary costs to the carrier. Launching with Bestow, one top carrier saw category sales growth of 2x year over year while maintaining an average start-to-bind speed of under 25 minutes, all made possible by a unified platform experience and smart automation and sequencing.

The compounding cost of waiting

There's one more cost worth naming: the cost of standing still. Every quarter a carrier continues running a fragmented new business process is another quarter of preventable rework, agent friction, and expense ratios that trail market leaders. The carriers who've moved to modern, integrated platforms are pulling further ahead, building the operational leverage that makes every future application cheaper to process than the last.

If you're working through what that shift looks like for your organization, we're happy to get into the specifics. Let's talk.