How Enterprise CMOs/VPs of Marketing use AI Advantage Assessment

  • Make data-informed AI investment decisions across groups (divisions, disciplines) and strategies (enablement, purchase, hiring/firing)
  • Communicate to C-level with data regarding Marketing’s level of AI proficiency and budget needs
  • Create specific, quarterly AI adoption goals for group leaders
  • Evaluate their AI leadership practices

Leadership Challenges

  • Intense C-level pressure to “do more with AI” and show results (savings, engagement, leads etc.)
  • Some leaders think they are leaders in AI usage, others feel behind, but nobody knows what the “industry standard” is. 
  • AI success is about more than application choice; it is about enablement, training, individual initiative, management practices and data.
  • When Marketing leadership tries to make rational decisions about AI investments, training, hiring/firing, they encounter:
    • Many stories, but not much data
    • Opinions driven by the self interest of vendors and analyst firms. 

What AI Advantage Assessment provides Marketing Leadership

Data to make confident AI decisions for their companies and careers. Individual marketers get motivation and direction to act independently.

What engagements look like

  • Marketing leadership + individual marketers take the most detailed AI Marketing use case adoption survey in the industry. 
  • AAA leverages its data on the industry standard of AI usage from hundreds of other companies to deliver leaders an impartial view of their company’s AI situation
    • Where their AI usage ranks overall
    • What areas of AI adoption are they ahead of the pack
    • What areas are they behind
    • Prioritized use cases to go after next. 
  • AAA provides individual respondents with insights to motivate them to do more with AI in their day-to-day, in-discipline work.