artificial intelligence analytics
Published on : Jun 9, 2025
As AI reshapes business landscapes, enterprises are facing a paradox: unprecedented access to data with increased difficulty in making informed decisions. Addressing this challenge head-on, Mixpanel, a global leader in digital analytics, has announced its 2025 Customer Advisory Board (CAB).
This board will play a pivotal role in transforming Mixpanel’s vision—from a product analytics provider to a comprehensive enterprise intelligence platform that connects user behavior directly to business outcomes.
Customer demands are evolving rapidly. Enterprises must:
Deliver personalized, seamless digital experiences
Accelerate decision-making processes
Leverage data more effectively across departments
Key industry stats highlight this urgency:
63% of enterprises say analytics improve decision-making (Gartner)
85% of leaders find too much data hampers decision-making (Oracle)
Companies with aligned leadership on data strategy are 2x more likely to succeed in analytics (McKinsey)
The CAB was created as a strategic response to these trends—uniting senior executives across industries to co-create digital solutions that directly impact enterprise performance.
The board includes:
30 global members, with 10 from North America
Senior leaders in product, marketing, analytics, and data strategy
Influential companies such as McDonald’s, AMC Networks, Ro, Olo, and Zola
These members will help shape:
Product roadmap evolution
Strategic alignment between metrics and business goals
Scalable, AI-powered, composable analytics solutions
“Our CAB is central to helping us co-build a platform that turns fragmented insight into decisions that scale—from the product team to the boardroom.”
“The CAB marks an evolution in our role—not just as a platform, but as a trusted strategic partner helping enterprises transform digitally.”
“This is an industry-defining collaboration. CAB members are already influencing product innovations that will set new standards.”
Architecting and scaling the global CAB program to ensure strategic collaboration, brand trust, and measurable enterprise success.
1. Direct Input from Industry Leaders
Real-world perspectives inform Mixpanel’s product evolution
Ensures platform development is aligned with market realities and business needs
2. From Software Vendor to Strategic Partner
The CAB shifts the relationship from transactional to transformational
Builds long-term partnerships focused on enterprise-level outcomes
“Our role in the CAB moves beyond software—it’s about mutual success,”
— Dan Cummings, McDonald’s, Global Product Engineering Analytics
In the AI era, decision-making needs to be:
Faster
Smarter
Scalable
Mixpanel’s platform aims to help enterprises do just that, with robust features including:
Complete Journey Visibility
Understand every customer touchpoint across mobile and web.
Self-Serve Analytics (No SQL Required)
Empower teams to get real-time answers without technical bottlenecks.
Behavioral Insights + Session Replay
Understand why users act, not just what they do.
Fast Time to Value
Quick onboarding, customizable templates, and global enterprise support.
Governance + Compliance
Built-in controls for secure, audit-ready data operations.
Composable Architecture
Seamless integration with modern data stacks and scalable deployment.
Mixpanel’s CAB isn’t just a feedback loop—it’s a collaborative engine. Members are helping architect the future of:
AI-driven analytics
Cross-functional decision frameworks
Composable, interoperable data ecosystems
This shift reflects a new era in enterprise software, where customers are partners in innovation.
With its 2025 Customer Advisory Board, Mixpanel is taking a bold step toward redefining enterprise digital analytics. By empowering senior leaders to co-create solutions, Mixpanel ensures that its platform evolves not just with technology—but with real business impact in mind.
As enterprise teams strive to make data a strategic asset rather than a burden, Mixpanel’s CAB provides the blueprint for what’s next: insight at scale, AI-ready analytics, and faster decisions—everywhere.
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