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How AI is helping media companies attract and engage audiences

AI offers a range of tools and tactics to help media companies attract news audiences and better engage the ones they have

November 11, 2024 | By Dorinne Hoss, Head of Marketing – Arc XP@arcxp

In today’s rapidly evolving media landscape, publishers and broadcasters are increasingly looking to AI to reach new audiences and build loyalty. At Arc XP’s recent Connect London event, a panel of industry experts—Lisa Anzinger, Enterprise Lead at Echobox; Aliya Itzkowitz, Strategy Manager at FT Strategies; and Madeleine White, VP of Marketing at Poool—shared their insights on how AI is reshaping engagement strategies for media companies.

How AI can help reach new audiences

One of the biggest challenges for media companies is breaking through the noise to reach new audiences. AI offers a way to do this by understanding and targeting specific audience needs. As Anzinger from Echobox explained, “AI can help you counteract [algorithm changes] and actually still reach those audiences, maybe even reach them through wider channels… whether that’s social media, newsletters, or even others.” AI’s adaptability is crucial in an environment where third-party platforms frequently adjust their algorithms.

Itzkowitz from FT Strategies highlighted the importance of multi-format engagement: “One of the most exciting things for me is there’s so many new ways that we can engage with readers, especially thanks to the generative AI boom.” For example, she shared that the Financial Times (FT) has been experimenting with a feature called “definitions,” which helps younger readers understand financial terms by offering definitions that pop up on hover. This is one way AI makes news content more accessible and appealing to younger audiences, who may find certain jargon intimidating.

Personalization and community building

AI’s ability to personalize experiences was another focus of the discussion. Anzinger explained that Echobox has seen significant engagement improvements through AI-driven personalization in newsletters, saying, “We have the ability to personalize each newsletter to the individual reader… [our client] Group Sud Ouest managed to increase open rates by 53% and click rates by 42%.” This tailored approach ensures that readers receive content that matters to them at just the right time.

Beyond personalization, White from Poool highlighted the growing importance of community building, emphasizing that AI’s real value lies in connecting people. “With AI, content can be created so easily that anyone can create content… community is what’s going to set you apart.” AI can help facilitate these communities, for example, by using AI-driven chatbots to engage users in conversations and provide a space where people with shared interests can connect and interact. White mentioned that some Norwegian publishers have even used AI chatbots that act as virtual community members, creating a more dynamic and interactive environment.

Ethical considerations and transparency in AI

Implementing AI responsibly is a priority, and transparency is essential in building trust. White believes in the value of being open with audiences: “Always be transparent…if a reader believes they can trust you and they know when you are being honest about whether AI’s being used, I think that really helps.” On the other hand, Itzkowitz offered a nuanced perspective, suggesting that over time, labeling every AI-driven feature may become unnecessary as AI becomes more integral to everyday processes.

However, when AI is directly engaging with audiences, clear communication is critical. Itzkowitz shared an example from a project involving synthetic voices: “If you’re using the voice of a journalist or cloning a voice…then you need to disclaim that.” AI’s role in generating content is likely to be acceptable for readers as long as they feel informed about when it’s being used.

Legacy media vs. new brands: Who has the AI advantage?

An interesting debate arose around whether legacy media brands have an advantage in AI-driven engagement due to their extensive archives and resources. While Itzkowitz acknowledged that larger companies have more data and resources, she pointed out that smaller publishers can often innovate faster due to less bureaucratic red tape. “Smaller publishers…may just say, let’s try full automation. Let’s see how it goes,” said Anzinger, highlighting the experimental edge smaller companies can bring to the table.

For smaller teams, adopting hybrid models that combine ready-made AI solutions with limited internal development is a viable approach. As Itzkowitz noted, “AI has somewhat changed this…you no longer need huge development teams to build something.”

Overcoming fear of failure with AI

The panelists acknowledged that trying new technologies like AI can be intimidating, especially with the risk of projects not meeting expectations. However, Anzinger advised companies to take a “trial and error” approach, iterating based on results. “Just keep trying… you can’t be afraid of something going wrong, just need to keep trying,” she said.

White underscored the importance of resilience and learning from failure, recalling the New York Times’ bold decision to implement a paywall in 2011 despite criticism. “Trying and failing means you are potentially going to succeed and be ahead of anyone else,” she said, stressing that bold moves can often be the most rewarding in the long term.

What’s next for AI in audience engagement?

Looking to the future, the panelists shared their excitement about the new ways AI can enhance engagement. Anzinger is optimistic about using AI to produce dynamic content, such as automated videos from articles, which will help media companies engage younger audiences on platforms like TikTok and Instagram. Meanwhile, Itzkowitz is eager to see AI-driven creativity blossom: “What’s that killer app for generative AI, or how are we really going to change the news experience so that young people and audiences in general really want to engage with news again?”

White emphasized the potential to create individualized experiences: “Instead of creating this one-size-fits-all model… [AI means] giving them a unique experience that the reader next to them isn’t going to get.” This hyper-personalized approach has the potential to make each reader feel valued and understood, a key to building loyalty.

Finally,the panelists concurred that AI is not here to replace journalists but to augment their capacity to connect with readers in increasingly meaningful ways. As AI tools evolve, media companies that embrace experimentation, prioritize transparency, and stay committed to creating genuine connections will be best positioned to thrive.

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