6 Ways Top Influencers Are Implementing AI and Machine Learning to Grow Their Followers

6 Ways Top Influencers Are Implementing AI and Machine Learning to Grow Their Followers

With over 31.25 million Facebook posts per minute, 6000 tweets per second and 95 million Instagram posts every day, it's genuinely commendable how top social media influencers can work their way through big data analytics and present relevant and timely content to their respective industries. With sufficient exposure to AI and machine learning solutions created to help social media marketing, you can also increase your social media conversion rates. These solutions provide you with a strong knowledge of your audience, your competition (and their efforts to reach the same or similar audience) and the kinds of content that inspire that audience to take action in ways that move the needle for your business Related: Chriselle Lim Started Out as a Wardrobe Stylist. By using social media AI and machine learning tools, influencers can study and understand their audience and competitors, and then implement proper content positioning. To help arm you with the insights you need to create the most relevant content for your industry based on data -- not hunches -- here are six ways that top influencers are implementing AI and machine learning to grow their followers. Social listening and monitoring Social listening and monitoring tools are some of the most widely used in social media marketing. The tools available implement social listening and sentiment analysis, and they analyze content to decipher the qualities that impact performance such as keywords, color, visual objects and content type. Cortex was founded to bring machine learning into marketing via improving the creation and deployment of content. It implements an in-depth analysis of data sets to allow you to know which kinds of content do better than others. Executing the right strategy with artificial intelligence and machine learning solutions makes your social media analysis both more powerful and more accurate.

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6 Ways Top Influencers Are Implementing AI and Machine Learning to Grow Their Followers Image credit: metamorworks | Getty Images

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With over 31.25 million Facebook posts per minute, 6000 tweets per second and 95 million Instagram posts every day, it’s genuinely commendable how top social media influencers can work their way through big data analytics and present relevant and timely content to their respective industries.

Whether they focus on tech, fashion, fitness, business or beauty, influencers are continually learning and improving to stay ahead of their competition. With sufficient exposure to AI and machine learning solutions created to help social media marketing, you can also increase your social media conversion rates.

John McCarthy, one of the early pioneers in the field of AI, defined artificial intelligence as “the science of making machines that can perform tasks that are characteristic of human intelligence.” These tasks may include understanding language, translating content between languages, recognizing elements in images and speech or making decisions.

Machine learning is a subfield of artificial intelligence that teaches computers to learn without needing a rigid set of rules. Scientists achieve this by showing the system several examples until it starts to learn over time and predict more accurately.

A proper understanding and implementation of artificial intelligence and machine learning guarantees success in social media marketing. These solutions provide you with a strong knowledge of your audience, your competition (and their efforts to reach the same or similar audience) and the kinds of content that inspire that audience to take action in ways that move the needle for your business

Related: Chriselle Lim Started Out as a Wardrobe Stylist. Now She Has More Than 3 Million Social Media Followers.

By using social media AI and machine learning tools, influencers can study and understand their audience and competitors, and then implement proper content positioning.

To help arm you with the insights you need to create the most relevant content for your industry based on data — not hunches — here are six ways that top influencers are implementing AI and machine learning to grow their followers.

1. Social listening and monitoring

Social listening and monitoring tools are some of the most widely used in social media marketing.

Social listening is different from social monitoring, in that monitoring is merely seeing what people are saying about your brand, whereas social listening tracks conversations around specific phrases, words, or brands, and leverages that data to find opportunities or create specialized content for particular audiences. These capabilities are powerful ways of interacting with audiences in real time — and they can help you tailor your voice to better connect with them.

Some examples of social monitoring tools are Sprout and Mention. They…

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