If there was any lingering hope that CX leaders might get a quiet planning cycle, CMP Research has politely thrown that idea into the Nevada desert. Its new 2026–2027 Customer Contact Executive Benchmarking Report puts improving customer analytics and insights at the top of the priority list for the next two years, followed by increasing adoption of self-service and improving agentic AI capability. In other words, the modern contact center is being asked to see more, automate more, and somehow still feel more human.
What Are the Top CX and Contact Center Priorities for 2026 and 2027?
That ordering matters because it says something bigger about where the market is now. This is no longer just an AI story, or just a cost story, or just a self-service story. It is a coordination story.
Leaders want better analytics because they need cleaner visibility into journeys, failure points, and resolution outcomes before they can scale self-service without creating digital dead ends that customers immediately try to escape. CMP’s findings suggest the industry is shifting from “launch more AI” to “prove it works, prove it resolves, and prove customers will actually use it.”
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Why Customer Analytics Has Become the Top CX Priority
The report’s biggest signal is that customer analytics is no longer a supporting capability. It is now the strategic foundation for CX decision-making.
Without stronger analytics and insight tools, leaders cannot properly understand customer journeys, measure friction, personalize self-service, or prove whether automation is improving outcomes. In that sense, analytics has moved from dashboard fodder to board-level priority.
Why Self-Service Adoption Still Defines Contact Center Strategy
CMP’s findings make clear that self-service remains one of the defining battlegrounds for contact center leaders. That is partly about convenience, but it is also about efficiency, cost, and scalability.
The issue, of course, is that poor self-service experiences often do the exact opposite of what they promise. Instead of reducing effort, they create friction, push customers back into live channels, and leave brands paying twice for the same interaction. That is why self-service adoption is not just a channel metric. It is a test of whether the wider CX strategy is actually working.
How Agentic AI and Generative AI Are Reshaping CX Investment
The report also shows that reducing costs, improving generative AI capability, and improving agentic AI capability sit firmly in the high-urgency zone. This is where the market gets especially interesting.
AI is no longer being discussed as a shiny add-on for innovation decks. It is being positioned as a practical lever for improving automated service, augmenting agents, and helping organizations manage increasingly complex customer interactions. The mood in the market has shifted from broad excitement to operational scrutiny.
Why Managing an AI-Augmented Workforce Is So Difficult
One of the most revealing findings in the CMP research is that managing the change of an AI-augmented workforce is among the hardest initiatives to get right.
That gets to the real story behind the AI boom in customer contact. Deploying copilots, virtual agents, and automation tools is one challenge. Redesigning work, reskilling leaders, supporting frontline teams, and maintaining trust while roles evolve is another entirely. It is less about plugging in new software and more about reworking the operating model around it.
What Metrics Matter Most for Customer Loyalty in 2026?
The metric mix is shifting too. CSAT remains the most important loyalty indicator, but First Contact Resolution and self-service resolution rate are now close behind.
That says a lot about what CX leaders value right now. The focus is moving away from broad, often abstract indicators and toward more operational measures of whether customers actually get their issues resolved quickly and with minimal effort. In 2026, experience strategy increasingly looks like resolution strategy.
How CMP’s Findings Connect to CCW Las Vegas 2026
This research lands neatly in the middle of the Customer Contact Week Las Vegas 2026 conversation. CX Today’s preview of the event already pointed to AI, analytics, automation, workforce trends, and operational discipline as core themes shaping this year’s agenda.
CMP’s benchmark adds something more useful than hype: a hierarchy. It tells buyers which issues peers consider both important and difficult, which is usually where budgets, board attention, and vendor pitches start colliding. For attendees heading to Las Vegas, that makes the event feel less like a trend safari and more like a working session on what the next contact center operating model should actually look like.
What Enterprise CX Leaders Should Take Away From the Report
The bigger takeaway for busy enterprise leaders is straightforward: the next phase of CX strategy will not be won by simply adding more AI to the stack.
It will be won by connecting analytics, self-service, knowledge, QA, and workforce readiness into one coherent operating model. CMP’s research shows leaders know that. The challenge now is execution.
And that, really, is the mood around CX in 2026. The race is no longer about who talks most loudly about AI. It is about who can turn insight into lower effort, smarter automation, and better outcomes for both customers and agents alike.
Planning your CCW Las Vegas 2026 agenda? Read CX Today’s full CCW Las Vegas preview guide for the major themes shaping the event, and check out our latest feature on CCWomen at CCW Las Vegas to see why human-centered leadership may be the sharpest competitive advantage in an AI-heavy CX market.
