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How AI is Shaping the Future of Personalised Marketing

How AI is Shaping the Future of Personalised Marketing

New technologies are immensely growing and have the ability to influence the world. Artificial Intelligence (AI) and Machine Learning (ML) will affect the development of business practices, especially in the marketing field

Artificial Intelligence & Machine Learning

AI refers to the field of computer science devoted to the creation of systems that perform tasks, which usually require human intelligence. It can be understood as the incorporation of human intelligence into machines.

Machine learning is a subset of artificial intelligence, essentially a technique to realise and integrate AI. The idea of ML is to teach machines based on the provided data and algorithms on how to make decisions. ML algorithms endeavour to decrease errors and increase the likelihood of correct predictions.  

Marketing Personalisation

Marketing personalisation is a form of segmentation that sends customers, usually based on previously collected customer data, different messages tailored to their individual needs

How AI/ML affects Marketing Personalisation

According to Statista, 80% industry professionals stated that they were currently using or planning to use AI for personalising content, offers and customer experiences.

Artificial intelligence uses data to customise companies’ website content to match their customers’ preferences, customise price offerings and connect interactions across all channels and devices in a personalised way. AI learns from customer interactions to improve the accuracy of customer predictions, thus increasing the value from the company to the customers over the customer relationship lifecycle. Following on to this, machine learning algorithms have arisen as a favoured method for creating applications that understand customer preferences. These can be based on customer reviews, previous product purchases and product usage. Recommendation engines are a prevalent application of ML, where customers can be matched with offerings that they previously liked or may be interested in.

An interesting example of how AI/ML is used in marketing personalisation is the way Netflix uses their personalised recommendation system. Much of their system is powered by machine learning algorithms. For example, the artwork displayed for each title is personalised to the user. The idea is to find the best artwork for each member and make it relevant to them. Someone interested in romantic movies may be interested in the movie “Good Will Hunting” if the artwork shows romance movies containing Matt Damon and Minnie Driver. In contrast, a customer who prefers comedies may be compelled to watch the movie if the artwork shown contains the comedian, Robin Williams. Dependent on what customers prefer, different artwork will be shown.

Techniques such as the Netflix example above are increasingly being used to acquire and retain customers. Furthermore, studies have shown that 63% of customers expect some sort of personalised marketing from their preferred brands.

Interested in innovating your marketing personalisation strategies? Contact us!

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