Artificial Intelligence in Online Marketing and its Limits
Posted: Tue Feb 11, 2025 9:02 am
Whether it's chess computers, self-driving vehicles, your Instagram feed or the copywriting AI you trust - current applications of artificial intelligence are based on so-called machine learning. What AI can do for you in marketing is determined by the limits and possibilities of machine learning.
Definition of Machine Learning: In this type of AI, computers are fed with data. Based on this, the AI recognizes patterns, creates structures and taxonomies and uses these for analysis, optimization and predictions. The more complex the AI architecture is - today mostly multi-layered "deep" neural networks (deep learning) - and the greater the processing capacity, the better this AI can learn and perform as desired.
Generative AIs like ChatGPT, Copy AI, Chatbots, Artbreeder and Canva are designed to create new content according to your specifications. These AIs talk to us, generate image or text content and summarize complex topics for us.
This makes them ideal marketing tools. By 2022, 4 out of 5 companies will be using artificial intelligence in marketing , and it's now brazil whatsapp number data almost impossible to avoid using AI tools. They help us with customer support, market research, branding, brainstorming and the creation of a wide variety of text formats, from social media postings to blog articles.
A small AI robot has an idea, indicated by a light bulb.
Generative AI can be used for storytelling in marketing by automatically generating creative content and personalized stories to target and engage audiences.
But as complex as these AIs are, it is important to understand that their performance clearly depends on:
the data with which the AI learned, i.e. what and how much material it was fed
the power behind it, i.e. architecture and processing capacity of the AI
Your own input – and how the AI interprets it
When working with AI in marketing, you should always be aware of these limitations of AI : false statements, misinterpretations, generalizations and inadequate results are to be expected.
What do these findings mean for storytelling in marketing ? After all, it's not just about creating text, but also about evoking emotions in the target group and creating a unique narrative .
Definition of Machine Learning: In this type of AI, computers are fed with data. Based on this, the AI recognizes patterns, creates structures and taxonomies and uses these for analysis, optimization and predictions. The more complex the AI architecture is - today mostly multi-layered "deep" neural networks (deep learning) - and the greater the processing capacity, the better this AI can learn and perform as desired.
Generative AIs like ChatGPT, Copy AI, Chatbots, Artbreeder and Canva are designed to create new content according to your specifications. These AIs talk to us, generate image or text content and summarize complex topics for us.
This makes them ideal marketing tools. By 2022, 4 out of 5 companies will be using artificial intelligence in marketing , and it's now brazil whatsapp number data almost impossible to avoid using AI tools. They help us with customer support, market research, branding, brainstorming and the creation of a wide variety of text formats, from social media postings to blog articles.
A small AI robot has an idea, indicated by a light bulb.
Generative AI can be used for storytelling in marketing by automatically generating creative content and personalized stories to target and engage audiences.
But as complex as these AIs are, it is important to understand that their performance clearly depends on:
the data with which the AI learned, i.e. what and how much material it was fed
the power behind it, i.e. architecture and processing capacity of the AI
Your own input – and how the AI interprets it
When working with AI in marketing, you should always be aware of these limitations of AI : false statements, misinterpretations, generalizations and inadequate results are to be expected.
What do these findings mean for storytelling in marketing ? After all, it's not just about creating text, but also about evoking emotions in the target group and creating a unique narrative .