Why CMOs will fail in the age of AI — Amanda Cole // Bloomreach

Show Notes

• 02:21
  The evolution of the CMO role

  As AI becomes more prevalent, CMOs must better incorporate storytelling and differentiation into their go-to-market strategies. They'll need a data-oriented foundation while fostering emotional connections with customers through compelling narratives.
• 04:40
  The age of AI and its challenges for marketers

  Consumers and C-suite leaders understand the potential of AIs influence and impact but lack an understanding of its technological constraints. Consequently, marketers are facing pressure to integrate AI into their strategies, despite the misconceptions about its practical applications.
• 07:37
  How to prioritize AI implementation as a CMO

  Focus on addressing scalability challenges within the organization, as AI fundamentally aids in scaling operations. AI offers CMOs the opportunity to significantly speed up the delivery of insights in terms of data analysis, a time-consuming process when done manually.
• 09:37
  Automating win loss programs with AI

  Were approaching the point where AI can automate win-loss analysis through automated surveys. While were not there yet, its crucial to start understanding the capabilities of AI, and building strategies for evolving AI technology over the coming years.
• 11:22
  AIs ability to unveil insights from data

  AI can now quickly analyze data and provide answers to complex questions, such as identifying high-value customer segments. This is possible as a result of generative AIs ability to do cohort analysis and understand your channels.
• 12:47
  Avoiding pitfalls in AI adoption for CMOs

  CMOs must take an active role in learning and using AI rather than leaving discovery to their teams. Failure to do so could result in missed opportunities and gaps in strategies as AI will be foundational to the CMO role going forward.
• 14:52
  The critical role of data management for AI

  AI relies on data quality and integrations, making proactive data management essential for obtaining valuable insights and analytics in marketing. Neglecting to address data issues could hinder AI's ability to provide valuable insights for sound decision-making.
• 16:25
  AI and the future role of the CMO

  CMOs will need to continue championing experimentation and innovation. However, prioritizing the areas requiring human intelligence while optimizing others for scale and automation will be the key to success in leveraging AI within marketing strategies.
• 17:32
  Navigating multi touch attribution challenges in B2B marketing with AI

  Attribution in B2B marketing has been challenging due to complex sales cycles and multiple touchpoints. AI offers the potential for better insights by automating incremental improvements while allowing for bold, gut-driven strategies.