Winning customer loyalty is the goal of any good brand, but how can this term be translated into the market in the digital age?

Customer loyalty implies to the behaviour that is beneficial to the business and can be categorised into three groups: customer retention, advocacy (support or recommendation of a brand and its products) and purchasing.

Various factors influence these behaviours, but we all agree that customer experience, which is undoubtedly the focus of today’s marketplace, plays a huge role in promoting the three. And with the improvement of AI, optimising customer experience from the very first branding came to a whole new level.

From the development of mobile applications to the impact of digital marketing on a wider scale, artificial intelligence and machine training are becoming essential tools brands use to promote customer loyalty – and that is why.


These are just some of the critical points, and they are enough to illustrate how marketing is being transformed, as AI is used to analyse data and therefore to guide user decisions. Opportunities are expanding, and the best digital marketing agencies are paving the way.

To find out more about the most relevant digital agencies around the world and how they apply the latest technology in their world, you can use the DAN catalogue of digital marketing agencies and explore their sites.


 Predicting Customer Behavior

Using machine training as part of the analysis of AI and Big Data, marketers now have an insurmountable advantage when it comes to establishing predictive predictions.

Using machine learning systems can collect and analyse data that will help predict things like:

● Which prospects are likely to respond to specific offers

● Which types of goods customers will want to buy further

● Preferred devices and channels used to reach the brand’s website, and so on.

Personalise Experiences Of Customer

The AI solution enables businesses to redirect the site to the needs of the user, providing a personal experience that makes it easy to engage in navigation and make it easier to navigate. With real-time technology, AI can estimate the mood and the user’s behaviour in order to understand the current preferences, and then automatically convert the website to the collected information.

The e-commerce website and store thus attracts micro-opportunity opportunities and optimise the overall user experience by determining the appropriate price threshold for each user, displaying private ads, serving the content of the videos, and recommending the appropriate ones.

This personal experience ultimately leads to stronger relationships between consumers and brands and makes the shopping experience a pleasure.


Removal of communication barriers

Not long ago, most people were completely sceptical about the idea that artificial intelligence systems could establish better interaction with humans. Switching to 2018, we are witnessing the widespread use of chatbots in websites and e-commerce stores. Not only that, people like to communicate with them.

Machine learning enables chatbots to communicate naturally and talk to customers like a real shopping consultant. But that’s the way it is: it might do its job better because it can assess the user’s reaction and offer them personalised offers in seconds.

In an era of high expectations, chatbots are the only ones who can meet expectations around the clock. Be cautious; these virtual assistants can continue to evolve and provide better service, which plays a vital role in improving customer loyalty.



As a result, AI integration is changing the landscape of website development, with a company with expertise, that benefits more than others. Marketers looking to implement AI solutions on websites that use stable platforms such as DesignRush to search the company’s list of website developers using various filters, and then compare profiles and offers accordingly.

With the advancement of technology and the emergence of new solutions, the latest developments in artificial intelligence are shaping the customer experience in the digital age. In addition, brands and developers are focusing on how to optimise the customer experience so that loyalty is encouraged in a highly competitive environment. In view of this, it is fascinating to see how machine learning can be used to engage in highly personal and human interactions that fundamentally attract attachment.