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100's of expert presented, on-demand video modules

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Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

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Featured Content

Featured Content

Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

Featured Content

Ready to get started?

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Leveraging AI to Increase Engagement

Leveraging AI to Increase Engagement

Daisy Tonge

Join Daisy Tonge and discover how AI can transform your content strategy, tailoring it to your audience's unique needs and boosting engagement.

Join Daisy Tonge and discover how AI can transform your content strategy, tailoring it to your audience's unique needs and boosting engagement.

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Leveraging AI to Increase Engagement

9 mins 12 secs

Key learning objectives:

  • Understand how to use AI to tailor content

  • Learn AI techniques for engagement

  • Explore successful AI case studies

Overview:

AI can be a powerful tool for tailoring content to specific audience segments by analysing vast amounts of data, including demographic information and online behaviour. This allows content creators to understand what resonates most with different groups. Sentiment analysis, which uses natural language processing (NLP), helps understand audience emotions and attitudes towards specific topics or products, allowing for more targeted messaging. Successful AI-powered content strategies are exemplified by companies like Netflix, The Washington Post, and Sephora. 

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Summary
How can AI be used to tailor content to specific audience segments?

AI can be a powerful tool for tailoring content to specific audience segments by analysing vast amounts of data, including demographic information and online behaviour. This allows content creators to understand what resonates most with different groups. For instance, AI-driven analytics platforms like Google Analytics and Adobe Analytics help identify audience preferences, enabling the creation of personalised content that speaks directly to the needs and interests of each segment. AI-powered recommendation engines, like those used by Netflix and Amazon, further enhance engagement by suggesting relevant content based on user behaviour.

What AI techniques can increase engagement and content relevance?

Several AI techniques can boost engagement and make content more relevant to your audience. Sentiment analysis, which uses natural language processing (NLP), helps understand audience emotions and attitudes towards specific topics or products, allowing for more targeted messaging. AI-driven content optimisation tools, such as Clearscope and MarketMuse, analyse top-performing content, identify key trends, and suggest improvements to enhance search engine visibility and content quality. Additionally, AI-powered chatbots like Manychat are revolutionising customer engagement by providing personalised responses and recommendations, significantly improving user interaction.

What are some successful case studies of AI-powered content strategies?

Successful AI-powered content strategies are exemplified by companies like Netflix, The Washington Post, and Sephora. Netflix uses AI algorithms to personalise movie and TV show recommendations, which enhances user satisfaction and retention. The Washington Post employs AI tools like Heliograf to automate routine reporting, allowing journalists to focus on in-depth storytelling, thus enriching the reader experience. Sephora's Virtual Artist app combines AI with augmented reality (AR) to offer users a personalised makeup experience, driving engagement by helping customers make informed purchasing decisions. These case studies highlight the diverse ways AI can transform content strategies across different industries.

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