How is AI changing content-audience matching?

All answers agree AI helps match content to audiences by analyzing data and patterns, though they differ on whether human judgment or creative input remains central to the process.

5 answers

Answers

  • Kipp Bodnar

    CMO · Hubspot

    Creative as targeting

    Kipp Bodnar says creative is the new targeting in paid advertising: rather than perfecting audiences by hand, marketers should make enough creative ads for the algorithms to pick who the audience is.

    The answer starts at 18:08.

    Marketing Against The Grain · Listen on Apple Podcasts
  • Paul Roehrig

    Chief Strategy and Marketing Officer · Ascendion

    Identifying resonant stories

    Paul Roehrig says matching content to audiences comes down to human interpretation of which stories have emotional resonance, with AI helping surface insight and patterns but not replacing that anytime soon.

    FINITE B2B Marketing · Watch on YouTube
  • Ryan Gavin

    Chief Marketing Officer · Slack

    AI grades content

    Ryan Gavin says his team must have LLMs grade their content before it reaches him for review, using prompts about who it's for, the intent, audience and goals.

    The Marketing Millennials · The Marketing Millennials · Listen at 44:05
  • Marvin Chow

    VP of Consumer and AI Marketing · Google

    Collating more data

    Marvin Chow says AI models are going to help by collating far more data for them and giving at least an initial sense of what's working and what's not.

    The Marketing Millennials · The Marketing Millennials · Listen at 24:32
  • Gilad Bechar

    Founder & CEO · Moburst

    Analyzing patterns

    Gilad Bechar says AI's role is analyzing patterns, because it can find patterns in data—such as when to raise bids—that would take humans hundreds of hours.

    The Agile Brand with Greg Kihlström®: Expert Mode Marketing Technology, AI, & CX · The Agile Brand with Greg Kihlström®: Expert Mode Marketing Technology, AI, & CX · Listen at 22:07

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