Marketing automation has advanced with the development of artificial intelligence (AI), shifting from rule-based systems to highly intelligent, adaptive tools.Examples of AI in Marketing Automation

90% of marketing professionals use AI tools to automate customer interactions while 88% say the technology has helped them personalize the customer journey across channels, according to a Statista survey.

As AI continues to evolve, there will be more opportunities for marketers to use automation to create personalized, efficient, and scalable campaigns that convert.

In this blog, we examine 7 key ways you can use AI-powered marketing automation to optimize your marketing efforts.

The most powerful element of AI is how it can analyze huge amounts of data. This not only saves time and money but it helps use that data to make predictions, known as predictive analytics.

For example, you could get phone number library insights into customer behavior by analyzing past purchases. This can be done on an individual level to see if there’s a pattern: for example to see if an interaction was triggered by an email or if it was due to a promotion on social media.

These insights can help you segment customers based on behavior or interests and predict future buying times or preferred offers. With this knowledge, you can target customer segments at the right time with the right offer on the most likely channel to convert.

Natural Cycles is a birth control app that uses an algorithm to gauge a woman’s fertility status based on body temperature.

To get more granular in its targeting and create more personalized messages with users, they used the AI-powered marketing keep your communication short and to the point automation platform Optimove to analyze user data and behavior patterns.

By segmenting users through real-time activity, the app could tailor messages to each customer category. They could also schedule more campaigns in less time and with fewer people.

ChatGPT has shaken up the marketing world, particularly for those creating content or companies wanting to create content formats at scale.

Many other tools are now whatsapp filter on the market, including Claude, Perplexity, Google NotebookLM, and Midjourney, all able to create content based on clear prompts.

Recent advances in text, image, and video generation help marketers develop targeted ads, product descriptions, or email campaigns. AI-powered tools like Adobe Creative Cloud Express and Canva can help marketers generate graphics from text prompts.

Some marketers are even creating content that adapts in real-time and responds to context and audience sentiment to enable hyper-personalization.

Spotify relies on AI algorithms to build playlists and artist recommendations based on a user’s listening activity.

This means the audio streaming service can provide customers with more of the music they love and recommendations based on their taste.

Spotify also has an AI-powered DJ for premium subscribers and a pilot AI voice translation for podcasts.

By leveraging conversational AI, businesses across industries can provide more personalized and efficient customer service and free up the time and resources of their human agents.

That’s why, according to Gartner research, chatbots will become the primary customer service channel for roughly 25% of businesses by 2027.

And chatbots are evolving. AI chatbots with advanced NLP can handle complex queries and adapt responses based on customer tone and intent. They can also help provide 24/7 customer support around-the-clock without compromising quality.