What is AI marketing?
It has become possible for marketers to build a clearer picture of their target audience than ever before. This is due to the development of big data and advanced analytics solutions. At this nexus of progress lies artificial intelligence (AI) marketing. Using data and customer profiles, AI tools learn how to communicate with your customers and deliver personalized messages at the right times without the need for human intervention.
Armed with big data insights, your digital marketing team can greatly increase the performance and ROI of their campaigns, all of which can be achieved with virtually no extra effort on their part.
AI marketing core elements
AI marketing is a way to bridge the gap between data science and execution. The process of analyzing huge amounts of data was once a daunting process! That's not the case today - because not only is it now possible, but it's also super easy.
Let's think about all the new technologies that have hit the market in the last year or so. We've all heard about the iPhone 11, self-driving cars, etc. But what about specific marketing technologies?
There are a few core elements that make AI marketing so important to understand and apply when it comes to today's knowledge and technology. These include big data, machine learning and the right solutions.
Benefits of artificial intelligence
AI marketing has received a lot of attention from marketers because AI marketing provides the insights it does - they see it as a business advantage. So what impact has AI marketing had on marketing teams around the world and what can marketers expect AI marketing to influence in the future.
- Increased return on investment through marketing
- Delivering personalized content to users
- Improved campaign reporting and measurement
- Improved performance of the marketing team
Challenges of artificial intelligence
Artificial intelligence tools are still in the early stages of development. This means that many marketing teams may not be aware of the best way to integrate AI marketing into their organizations or how to use the solutions at all.
Implementation issues
As marketing teams work on their AI implementations, it is necessary that they understand how to best implement the specific solution. This requires organizations to set aside time for employee training and possibly support from implementation specialists.
Ensuring data protection
Organizations must comply with data protection regulations like GDPR or risk significant fines. This means marketers need to make sure they practice ethical data handling and collection. These laws can introduce challenges for AI implementations - if tools aren't programmed properly to adhere to these guidelines, they can risk non-compliance with data protection laws.
Get help choosing and implementing the best AI solutions
Our team of experts has years of experience in the effective use of AI and machine learning and can help you navigate the AI landscape in a way that is both efficient and sustainable. We offer customized AI solutions that fit your company's unique needs and business goals. Read more here
