Mixpanel, a leader in enterprise digital analytics, has announced the members of its 2025 Customer Advisory Board (CAB) for North America and LATAM. This strategic initiative aims to guide the company’s vision and accelerate innovation in enterprise digital experiences. The CAB brings together senior leaders from influential companies such as McDonald’s, AMC Networks, Ro, Olo, Zola, and others to shape the future of innovation in digital engagement.

In today’s AI-driven era, customer expectations are evolving rapidly, pushing enterprises to deliver personalized, data-driven experiences with greater speed and less friction. According to Gartner, 63% of enterprises cite improved decision-making as the primary reason for investing in analytics, yet an Oracle study reveals that 85% of business leaders believe the growing volume of data makes decisions more complex. McKinsey also reports that organizations with aligned leadership on data strategy are twice as likely to succeed with analytics initiatives. Mixpanel’s CAB unites enterprise leaders to co-create solutions delivering measurable, business-critical impact.

The global CAB consists of 30 senior leaders, with 10 members from North America holding executive roles across product, marketing, data, and analytics. Their insights will help guide Mixpanel’s evolution beyond product analytics into a platform that links metrics to business outcomes. The forum will influence the future of AI, analytics, governance, and composability through the development of scalable, interoperable solutions.

“Enterprises have more data than ever, but turning it into decisions still lags behind. With the rise of LLMs and renewed urgency around self-serve analytics, now is a critical moment to redefine how teams work with data,” said Amir Movafaghi, CEO of Mixpanel. “Our CAB is central to this effort, helping us co-build a platform that turns fragmented insight into decisions that scale—from the product team to the boardroom.”

Mixpanel’s executive leadership team—including Amy Hsuan, Chief Customer and Revenue Officer; Edward Hsu, Chief Product Officer; and Melike Abacioglu Gunes, Vice President of Marketing—oversees the CAB’s collaborative work. Kalina Bryant, Principal and Head of Customer Engagement, is spearheading and scaling the program globally, reinforcing Mixpanel’s commitment to strategic customer partnerships.

“Customer needs are changing dramatically with AI, and our purpose is to partner with the world’s leading companies to accelerate innovation in digital experiences,” said Amy Hsuan. “The CAB is a co-creation forum to shape the future of digital analytics together.”

“Having a voice in the direction of key software solutions not only helps a company like Mixpanel create several opportunities to support our business, but also strengthens trust across the enterprise in the insights we gather,” said Dan Cummings, Senior Manager of Global Product Engineering Analytics at McDonald’s.

“Enterprise teams are under pressure to tie metrics to business strategy and drive transformation—turning data into faster, smarter decisions,” said Edward Hsu. “Partnering with our CAB members gives us the insight to build for that future, and their input is already influencing upcoming product launches that will be industry firsts.”

Mixpanel’s Digital Analytics Capabilities

  • Complete journey visibility: Capture every user interaction across web and mobile to understand engagement at each step.
  • Self-serve answers, no SQL required: Enable product, data, and marketing teams to explore trends, identify drop-offs, and answer questions quickly.
  • Real-time insight into the “why”: Go beyond metrics to improve retention and engagement with tools like session replay.
  • Fast time to value: Streamlined onboarding, persona-based templates, and enterprise-ready global support.
  • One source of truth: Align teams with shared visibility into performance and impact.
  • Decision-ready data: Built-in governance, access controls, and enterprise compliance support.
  • Flexible by design: Seamless integration into modern data stacks with a composable, scalable platform.

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