What is AI marketing?
It has become possible for marketers to form a clearer picture of their target audience than has been the case in the past. 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 personalised messages at the right times without the need for human intervention.
Armed with big data insights, your digital marketing team can greatly increase their campaigns' performance and ROI, all of which can be achieved with virtually no extra effort on the part of the employee.
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 used to be 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 come on 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 the knowledge and technology of our time. These include big data, machine learning and the right solutions.
Advantages of artificial intelligence
AI marketing has gotten a lot of attention from marketers, as AI marketing provides the insights that 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 impact in the future.
- Increased return on marketing
- Delivery of personalised 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 organisations, or how to use the solutions at all.
Implementation issues
As marketing teams work on their AI implementations, they need to understand how to best implement that specific solution. This requires organizations to set aside time for training/education of employees and possibly support from implementation specialists.
Ensuring data protection
Organisations must comply with data protection regulations such as the GDPR or risk fines of significant size. This means that marketers must ensure that they practice ethical data handling and collection. These laws can introduce challenges for AI implementations - if tools are not programmed correctly to adhere to these guidelines, they may risk non-compliance with data protection laws.
