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Top 7 Applications of AI in Social Media Marketing

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Artificial intelligence, or AI, strutted onto the scene in 1956 when John McCarthy coined the term at an academic conference. The world hasn’t taken its eyes off it since. The idea of creating superior man-made intelligence has captivated us all.

Zoom to the 21st century and AI is now a cornerstone of our daily lives. From building sophisticated AI systems to developing humanoid robots, AI has embedded itself deeply into our society. And guess what? We can’t get enough of it. That’s why AI in social media is getting as much applause as it does in other fields. This article discusses exactly how brands are using AI tools for social media and how you can use it too.

What is AI in Social Media?

The application of artificial intelligence (AI) tools and services to improve many facets of social media platforms is referred to as AI in social media. These solutions combine data analysis and machine learning algorithms to automate processes, increase productivity, and give users and marketers individualized experiences.

AI in social media can be applied to a variety of tasks, such as audience targeting, data analysis, social listening, content creation, and advertising optimization. 55% of marketers reported using ChatGPT for their marketing.

Why Do We Need AI in Social Media?AI in Social Media

  • Understanding User Behavior: AI digs into what people write, post, and comment on, enabling platforms to deliver more of what users want, tailoring content to meet their needs.
  • Efficiency and Cost Reduction: By automating various activities, AI slashes costs and boosts revenue in social media marketing.
  • Personalization and User Experience: With the global surge in social media users, AI is essential for understanding customer preferences and enhancing their overall experience.
  • Content Personalization and Moderation: AI tools on social media platforms heighten personalization and efficiency, delivering relevant content and ensuring a safe, positive environment through effective moderation.
  • Trend Prediction and Strategic Decision-Making: AI predicts trends and user behavior, aiding in content planning and strategic decisions. It also helps in curating and suggesting relevant content, saving time and ensuring a steady stream of diverse social media posts.

Also Read: What Are AI APIs? Features, Types, and Working

Top 7 AI Applications In Social Media

AI applications in social media marketing are diverse and offer numerous benefits to brands. Here are some elaborative examples of brands leveraging AI in social media marketing:

1.     Content Curation

AI in content creation is gaining traction like never before. With the arrival of artificial intelligence tools like SteveAI, DeepAI, etc., marketers can now create a video from scratch. With zero to minimal investments, you can now produce high-quality videos and repost them on all social media platforms.

Brands like Curata use AI to discover trending content in their niche, add their own brand voice, and share it on social media. This helps keep social media feeds active and updated without additional effort, saving time and building thought leadership.

2.     Influencer Research

AI-powered influencer research platforms help brands find the right influencers based on analysis of their account activity and marketing goals. This ensures effective influencer collaborations and helps liven up social media accounts.

The beauty company L’Oréal employs AI to locate influencers for their marketing initiatives. In order to ensure genuine collaborations that connect with its audience, L’Oréal analyzes engagement rates, follower counts, and content.

3.     Customer Sentiment Analysis

AI tools like Sprout Social’s sentiment analysis allow marketers to analyze customer sentiment toward their brand keywords on social media.

AI in Social MediaThis helps identify areas where customers need more customized support and enables brands to respond effectively. It thereby helps in AI-powered customer engagement.

Another example is Sprinklr’s listening and sentiment analysis tools, which help you to effectively gauge how the public feels about your brand and modify your approach accordingly.

AI in Social Media4.     Social Listening

AI-powered tools analyze social media data to identify trends, monitor brand mentions, and gather insights about customer behavior and preferences. This information helps brands refine their marketing strategies and improve brand presence.

Consumer goods company Unilever employs artificial intelligence (AI) to monitor social media discussions about its products. This aids in the company’s comprehension of how consumers view their brands and enables them to plan their marketing strategies.

5.     Competitive Analysis

AI-enabled tools like Falcon.io help brands track and analyze their competitors’ social media strategies, reach, engagement rate, conversion rate, and brand sentiment. This allows brands to gain insights into successful strategies and optimize their own marketing efforts.

6.     Personalization

AI in marketing enables brands to offer personalized consumer experiences by tailoring content to consumers’ needs and preferences. This helps build relationships with consumers on their terms and improves customer satisfaction.

TikTok is a fantastic social media example of this. It’s almost turning into a search engine because of how well its algorithm finds and suggests appropriate content.

TikTok is now used by users to perform searches that they would have previously done on Google. Users no longer merely utilize it to watch videos or follow influencers.

Based on historical performance, you can utilize AI automation to optimize the times you post on social media. You can track performance and improve your understanding of the KPIs associated with each marketing campaign in real-time by analyzing automation tools. This will help you make more informed decisions about your social media output.

7.     Advertising Optimization

AI algorithms optimize social media advertising campaigns by analyzing performance data, identifying successful strategies, and making data-driven recommendations for improvement. This helps brands maximize their return on investment and reach their advertising goals.

Coca-Cola improved its social media advertising tactics with artificial intelligence (AI), especially on Facebook and Instagram. Coca-Cola was able to provide highly tailored and relevant content by using artificial intelligence (AI) to analyze massive volumes of user data and gain insights into consumer preferences and habits. To maximize visibility and interaction, AI also identified the best times and platforms for ad placements.

Outcomes included higher brand loyalty, improved ROI, and more user engagement. Coca-Cola was able to decrease wasteful ad expenditure and improve audience engagement with its AI-driven strategy, showcasing the major influence of AI on advertising optimization.

Future Outlook of AI in Social MediaAI in Social Media

The future of AI in social media is set to shake things up in a big way. Imagine hyper-targeted content that feels like it was made just for you—because, with AI, it pretty much is. We’re talking about machine learning and natural language processing taking personalization to a whole new level. Social media platforms will soon predict trends and user needs with laser-like precision, while also automating content creation and curation. This means more engaging and relevant experiences that help brands and audiences vibe on a deeper level.

But that’s not all—AI will be the brains behind advanced analytics and strategic decision-making. Brands will use AI to get real-time insights into how their campaigns are doing and what people are saying about them. This will let them tweak their strategies on the go. Plus, AI will beef up content moderation, making social media a safer, more positive place.

Aparna MA
Aparna MAhttps://aitech365.com
Aparna is an enthralling and compelling storyteller with deep knowledge and experience in creating analytical, research-depth content. She is a passionate content creator who focuses on B2B content that simplifies and resonates with readers across sectors including automotive, marketing, technology, and more. She understands the importance of researching and tailoring content that connects with the audience. If not writing, she can be found in the cracks of novels and crime series, plotting the next word scrupulously.

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