AI marketing uses artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends that may impact marketing efforts. AI is often used in digital marketing efforts where speed is essential. Generative AI is often used in digital marketing efforts where speed is essential. AI marketing tools use data and customer profiles to learn how to best communicate with customers, then serve them tailored messages at the right time without intervention from marketing team members, ensuring maximum efficiency. For many of today’s digital marketers, Generative AI is used to augment marketing teams or to perform more tactical tasks that require less human nuance.
AI Marketing Use Cases Include:
- Data Analysis: Collecting and sifting through large amounts of marketing data from various campaigns and programs that would otherwise have to be sorted manually.
- Natural Language Processing (NLP): Creating a human-like language for content creation, customer service bots, experience personalization, and more.
- Media Buying: Predict the most effective ad and media placements for a business to reach its target audience and maximize marketing strategy ROI.
- Automated Decision-Making: AI marketing tools help businesses decide which marketing or business growth strategy they should use based on past data or outside data inputs.
- Content Generation: Writing both short and long pieces of content for a marketing strategy, such as video captions, email subject lines, web copy, blogs, and more.
- Real-time Personalization: Changing a customer’s experience with a marketing asset such as a web page, social post, or email to fit the customer’s past preferences to encourage a certain action, such as clicking a link, signing up for something, or buying a product.
