Barbara Lewis.
CMO · Coactive AI
Barbara has over 20 years of experience in tech marketing, working at companies of all stages, from very early stage startups to large, publicly traded global corporations. She was previously the Head of AI Marketing at Snowflake, which acquired TruEra, the AI Observability company where she served as CMO. Barbara graduated with honors from the Stanford Graduate School of Business (Stanford GSB) and from Yale University, and has twice been named Marketing Executive of the Year, Bronze Award, by the American Business Awards (Stevies).
Guest
Barbara Lewis
CMO
Company:
Coactive AI
Location:
San Francisco, California, United States
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In this episode of The Marketing Front Lines, we speak with Barbara Lewis, CMO of Coactive AI, a company helping enterprises unlock value from their image and video content using AI. Barbara brings a unique perspective as an eight-time startup marketing leader who has consistently chosen early-stage companies over established ones. With a background spanning from Siebel Systems during the dot-com crash to building marketing organizations from scratch, Barbara shares tactical insights on marketing in emerging categories, the realities of category creation, and how AI is reshaping both marketing practice and customer expectations.

Topics Discussed:

Building Marketing Organizations from Zero in Early-Stage Startups

Category Creation vs. Market Education

Strategic Marketing Tactics for Emerging Technologies

AI's Impact on Marketing Practice

Lessons from the Salesforce vs. Siebel Competition

Six takeaways from this conversation.

Actionable for AI marketers

  1. Think Foundation Before Finishes
    Many founders focus on marketing tactics (the "color of the house") before establishing strategic foundations. Start with deep audience understanding, market positioning, and strategic differentiation before moving to channel selection and creative execution.
  2. Embrace Competition in Market Development
    Being the only company in a category often means there's no real market. Healthy competition validates market demand and helps with analyst coverage, customer education, and category development. Your competitors are actually helping advertise that the problem exists.
  3. Match Marketing Strategy to Audience Behavior
    Early-stage B2B tech companies often default to Google Ads and social media without considering whether their sophisticated enterprise buyers actually discover solutions through these channels. Private events and educational content often work better for complex, high-consideration purchases.
  4. Use AI as a Creative Collaborator, Not a Replacement
    AI excels at brainstorming and helping communicate visual concepts to designers, but human judgment remains critical for filtering ideas, adding strategic context, and ensuring quality. The most effective approach treats AI as a productivity enhancer that still requires significant human input.
  5. Focus on Current Capabilities Over Future Possibilities
    While AI has captured customer imagination, many buyers are asking for capabilities that don't exist yet. Successful marketing in emerging tech categories requires constantly anchoring customer expectations in current, proven capabilities while maintaining vision for future development.
  6. Build Marketing Around Customer Learning Journeys
    When there's no established buying process, marketing becomes about facilitating customer education and peer learning. Private events where customers can learn from each other often prove more valuable than traditional product-focused marketing.