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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