Gartner Expert

Matt Wakeman

Sr Director Analyst

I help marketing leaders at the world's leading organizations address their wicked problems.

What's a wicked problem?

Wicked problems are complex - because conventional methods don't help to solve them.

For instance, proving the value of something intangible, like marketing, brand, or a technology platform. Conventional wisdom says that you can use math and logic to convince people that intangible activities are worthwhile.

Another example? Convincing large groups of people to change their behavior. We think we can tell them why it's important to change, that understanding that is enough for them to change. It's not.

Some wicked problems are directly solvable, when you change how you approach the problem. Others, not so much.

I have a deep understanding of executive leadership, behavioral science, IT-marketing partnerships, and a variety of operating models.

Previous experience

With practitioner experience as a data scientist, customer experience strategist and a management consultant, I've also led great teams in all three disciplines to drive company transformations. We've supported startups, dozens of the Fortune 100, and companies in-between to become data-driven, customer-centric, product-oriented, and digitally mature.

Professional background

Benefits Data Trust, Director of Data Science, Analytics and Engineering, 1 years

Bounteous (The Archer Group), Director, Marketing Science, 5 years

EPAM Systems, Senior Director, Business Consulting & CIO Advisory, 5 years

Areas of coverage
  • Marketing Technology

  • Marketing Data and Analytics

  • Marketing Operations

  • Marketing Leadership and Strategy

Education

B.A., International Relations, Dartmouth College

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Top Issues That I Help Clients Address

01

How can I prove marketing's impact on the business, including intangibles such as brand and customer experience?

02

How can I increase my C-suite influence, strengthen relationships, and better manage stakeholders?

03

What are the opportunities and gotchas associated with machine learning and generative AI in marketing?

04

How can I use customer lifetime value (CLV) and/or Customer Acquisition Cost (CAC) to improve customer insight and marketing effectiveness?