By Sukanya Ganesh — Nov 1, 2023

💻 AI-Driven Content Curation: The Future of Smart Marketing

AI is the content curator's powerhouse and this technological evolution is reshaping marketing.

How AI is transforming Content Curation in Marketing

Learn - a couple of courses to further your knowledge in AI

AI Jobs - a listing of fresh jobs related to AI

In Other News - a few interesting developments we're tracking

AI plays a significant role in content curation for marketing by helping businesses find, organize, and deliver relevant and engaging content to their target audiences. It enhances the efficiency and effectiveness of content curation in several ways, such as content recommendation, personalization, trend analysis, and data-driven decision-making.

Scoop.it is one of the widely used curation tools. It was launched in 2011 and has since grown into a much-loved tool for finding quality information for businesses and individuals. It enables the marketer to scoop information from pages visited to curate and publish across the client’s online channels within minutes.

Content Recommendation and Personalization:

AI-driven recommendation engines analyze user behavior, preferences, and historical data to suggest personalized content.
In platforms like Netflix and Spotify, where AI algorithms analyze viewing or listening history, then recommend movies, shows, or songs that users are likely to enjoy.
In marketing, platforms like Amazon and YouTube use AI to suggest products and videos, respectively, based on a user's browsing and purchase history.

Content Classification and Tagging:

AI can automatically classify and tag content based on its theme, sentiment, or topic.
By using Natural Language Processing (NLP) techniques, AI systems can categorize and organize content.
In real life, content management systems like WordPress use AI plugins to suggest tags and categories for blog posts, making it easier to curate content.

Email Marketing and Personalized Campaigns:

AI can optimize email marketing campaigns by segmenting the audience and sending personalized recommendations and offers.
AI-driven email marketing platforms like MailChimp and SendinBlue use machine learning algorithms to improve open rates and click-through rates.
The Phrasee platform is another example. Its powerful artificial intelligence brain uses deep learning to analyze subject lines with every email sent. Hence, it helps marketers improve the subject lines to a level that guarantees the receiver will want to open the email.

Content Distribution and Scheduling:

AI can determine the best times to publish content for maximum engagement.
Social media scheduling tools like Buffer and Hootsuite use AI algorithms to suggest optimal posting times based on when your audience is most active.

In marketing, AI transforms content curation with personalized recommendations, automated content creation, trend analysis, and content scheduling. It enhances user experience and efficiency by guiding users to relevant content and optimizing email campaigns, ultimately improving customer engagement and conversion rates.