Customer Journey Management is the Best Policy for Overcoming Insurance CX Barriers | CSG
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Customer Journey Management is the Best Policy for Overcoming Insurance CX Barriers
Scott TanenbaumDirector, Strategic Business
2026-03-02
Insurance teams have spent years building the pieces of better customer experience (CX), investing in everything from journey maps to analytics to AI capabilities.
Improving customer experience is such a high priority in insurance, where CX failures are closely tied to retention. For example, J.D. Power found that 80% of auto insurance customers who have a poor claims experience have already left or say they plan to leave their carrier, underscoring how quickly pain points turn into churn.
And yet, despite all this prioritization, many insurance journey initiatives stall before they meaningfully change how work gets done. Some organizations produce thoughtful journey maps, only to watch them sit on a shared drive while day-to-day operations continue unchanged. Others deploy powerful platforms, from customer data tools to contact center systems, but they struggle to connect those capabilities into a consistent operating model for improving experiences.
Why Journeys Break Down in Insurance
CX isn’t misunderstood in insurance. The trouble starts when journey concepts hit the operating constraints: systems, teams, and ownership models that weren’t built to work together.
In practice, journey efforts tend to break down in the same core areas:
Fragmented customer identities
Insurance organizations still organize primarily around products and policies. Customer records are often separated by line of business, channel, or relationship, which makes it difficult to understand the full context of a household or client. When teams can only see part of the relationship, coordination suffers. Engagement becomes inconsistent, and decisions are made in isolation rather than in service of the broader customer experience.
Insight that arrives after the fact
Many CX programs still rely heavily on periodic surveys and manual analysis. That data’s valuable, but it often shows what already went wrong rather than what’s starting to break down. By the time patterns show up in reports, customers may already be calling repeatedly, escalating issues, or quietly disengaging. This lag makes it difficult to keep improving customer experience in insurance at the pace customers expect.
Omnichannel inconsistency
Customers move fluidly between digital self-service, agents, or advisors, and they expect the brand experience to remain consistent throughout. Internally, those channels are frequently owned by different teams, which results in inconsistent answers and duplicated effort. This breakdown is especially visible in claims. J.D. Power reports that to resolve the same claims question, and satisfaction drops sharply when that happens. What feels like a simple status check to the customer often turns into repeated effort behind the scenes.
Most insurers recognize the value of setting expectations and keeping customers informed, especially during high-anxiety moments like claims, underwriting, or policy changes. What's difficult is doing it consistently. Updates are often driven by individual teams or one-off initiatives rather than shared or centralized logic. When customers don’t know what’s happening or what comes next, you can count on their repeat contacts.
Customers are clear about what they want in those critical moments. Research shows that more than 80% of consumers want companies to identify issues and contact them proactively, and nearly 90% say proactive service improves how they view the brand.
AI enthusiasm constrained by trust and governance
Justifiably, there’s a lot of interest in how AI could be improving customer experience in insurance—particularly in use cases like reviewing customer conversations, spotting repeat issues, and getting work to the right teams more quickly. At the same time, insurers are rightly cautious. Accuracy and compliance requirements limit how far automation can go, especially in regulated scenarios. Without clear ownership and guardrails, AI experiments remain isolated rather than becoming part of day-to-day journey operations.
Taken together, these breakdowns point to the need for a more disciplined way to manage journeys end to end—often referred to as customer journey management (CJM).
What Customer Journey Management Means in Insurance Experiences
CJM is often misunderstood as another platform or methodology. It’s really more of an operating discipline. Gartner defines customer journey management as the comprehensive discipline of designing, deploying, and continuously improving the end-to-end, cross-channel experiences customers have with an organization. CJM focuses on continuously detecting where customers are in their journeys, coordinating the next action or communication across teams and channels, and then measuring whether those actions improved outcomes.
This is how customer experience in insurance moves from intent to day-to-day execution.
What makes CJM especially necessary in insurance is the number of parties involved in a single journey. A policyholder or client might interact with an agent or advisor, a digital channel, and multiple internal teams over time. CJM provides a way to coordinate work across teams and systems, so customers don’t experience all the handoffs happening behind the scenes.
How Customer Journey Management Differs From Mapping, CDPs, and Contact Center Platforms
Journey mapping remains an important starting point. An insurance customer journey map helps teams align on what customers are trying to accomplish, where friction occurs, and which moments matter most. What mapping doesn’t do is run the journey once it leaves the workshop.
Customer data platforms help unify profiles and support segmentation. Contact center platforms manage interactions and workforce workflows. Each capability plays a role, but each one stops short of coordinating the experience end to end.
CJM connects these pieces . It translates signals into diagnostics for revealing where to start, decisions for what to fix, coordinated actions for triggering the fixes, and then measurable outcomes for refining the journey.
Without that connective tissue, insurers are left with capable systems that operate in parallel but rarely in concert. And those breakdowns we just talked about? They keep happening.
What Customer Journey Management Looks Like in Practice
What impact can CJM have on customer engagement in insurance? Consider a couple common scenarios: In P&C, a claim enters an investigation phase where customers typically hear very little, and the dreaded “black hole” in insurance communications causes call volumes to spike. With CJM in place, insurers can detect that stage, trigger a clear status update explaining what’s happening, what comes next, and when the next update will arrive, and then measure whether status calls decline.
In Life and Annuity, underwriting requirements often stall applications. By detecting when requirements have been outstanding for a certain period—and pairing that signal with repeated portal visits or calls—insurers can send a clear checklist outlining what’s missing, who owns each item, and what happens if deadlines are missed. The result is faster placement and fewer “what’s missing?” calls.
CJM also helps insurers spot emerging issues without waiting for surveys. Transcript analysis may reveal a spike in billing confusion after a notice change or recurring questions about policy servicing. Those insights can trigger targeted fixes (e.g., updating language, adjusting IVR prompts, or clarifying agent guidance) before dissatisfaction escalates.
Finally, CJM helps insurers provide the right offer to the right customer at the right time, not just manage individual policies. Repeated friction on one policy can signal broader risk across a household. A service issue on a legacy life policy might align with a lapse risk, a coverage gap, or reduced advisor engagement. With a unified view of the customer relationship, teams can move from reactive service to proactive loyalty-building. They can coordinate outreach, tailor retention incentives, recommend coverage adjustments, or introduce new products that fit the customer’s current life stage.
The bottom line: Instead of simply fixing issues, insurers deliver relevant offers that strengthen the relationship and build long-term value.
Why Communications Are Often the Best Place to Start
For many insurers, communications are where CJM shows value first. Messages sit at the intersection of what’s actually happening in the business, how customers feel, and how often they reach out for help. When insurance communications clearly explain what happened, what happens next, and when the customer will hear back, uncertainty drops (and with it, repeat calls).
Making this work consistently requires clear ownership. Content, trigger logic, and compliance review all need defined accountability. When they do, insurance communications become easier to test, refine, and improve over time.
Insurers don’t need a multiyear transformation to make progress. Many start by focusing on a single journey where uncertainty drives repeat contact (such as claim status, underwriting requirements, or policy changes) and using the data and tools they already have to make a small number of practical improvements. When teams are clear about where customers get stuck and what a successful journey looks like, it becomes possible to measure impact and show progress quickly.
That same approach scales over time. As insurers mature their journey work, they can connect customer identity across products, make cross-LOB prioritization decisions, and apply AI selectively to help work move faster without giving up control. Each step reinforces the same objective: measurable improvements in customer experience in insurance, paired with less operational strain on frontline teams.
This is the kind of work CSG Xponent is built to support. Xponent is a customer engagement platform designed to help insurers run journeys as an ongoing discipline by combining journey insights, identity resolution, real-time signals, coordinated actions, and measurement in one place. Rather than replacing existing systems, it helps connect them—so teams can detect issues earlier, communicate more clearly, and act consistently across channels and LOBs.
Taken together, these practices make it possible to move journey work out of planning mode and into day-to-day execution—starting small, proving value, and building toward more consistent experiences over time.
