How AI is driving digital publisher revenue
Digital publishers are reviewing their strategies and reducing overheads to drive revenue in the industry’s toughest era. This report looks at how, and in what parts of their operation, they are using AI to increase efficiency.
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“Our audiences are changing, technology is changing, and what advertisers want from us is changing... the only certain mistake is to not change ourselves.”
Roger Lynch, CEO of Condé Nast*
*In an interview with Reuters on 1st November 2023 following the media company’s layoffs last year.
Discover how AI is driving publisher efficiency by:
1
Increasing creative productivity
2
Broadening distribution and growing audiences
3
Optimizing ad conversion
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What’s inside:
Generative AI for creative productivity
- Automating repetitive editorial tasks
- Streamlining the creative process
- Automating traditional workflows
Generative AI for broadening distribution and growing audiences
- Make the most of first-party data
- Deepen engagement with customized AI search
- Optimize existing content for chatbot discoverability
- Grow global audiences by AI dubbing video content
Generative AI for growing revenue
- Improve ad conversion rates
- Monetize existing content
- Increase efficiency across the board
2024 is the year publishers will integrate AI into their workflows
57%
of the respondents surveyed for Digiday’s State of AI report (Dec 2023) said that their company uses chatbots and AI assistants
Source: The State of AI: The paradigm shifts toward data for marketers
87%
87% of respondents indicated that AI was the biggest priority in terms of technology / product investment for the next 12 months.
Source: The latest World Press Trends Outlook survey from the global trade body World Association of News Publishers (WAN-IFRA) which surveyed 175 news executives
49%
of publishers surveyed by Digiday are already using generative aI somewhere in their workflows
Source: Digiday: Half of publishers are already using generative AI — and more will follow
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