These days, marketers are constantly looking for brand new ways to find or attract a target audience, but in the constantly evolving marketing landscape, it’s becoming harder to reach the audience and get positive results.
This is precisely where AI marketing strategies become incredibly useful.
Artificial intelligence marketing (AI Marketing) is the method of using consumer data, paired with machine learning or other AI concepts, to be able to anticipate the target audiences’ future moves, as well as improve their buying journey.
With the help of artificial intelligence, companies can create more effective marketing campaigns and generally improve the customer journey.
A number of companies have already started utilizing artificial intelligence in their marketing campaigns with great results, which means other businesses can learn plenty from those campaigns.
In a collaboration with Persado, a company that pairs marketing and artificial intelligence, Chase Bank managed to sound a lot more human in its content.
Specifically, the bank figured out that with the help of machine learning, their marketing campaigns started sounding a lot better to the target audience.
Although Chase Bank has been the first bank in taking artificial intelligence and incorporating it into its content marketing campaigns, plenty of other brands and corporations have lined up to work with the same New York-based company for their machine learning copywriting capabilities.
Several years ago, the sports shoe brand Nike created and launched a system that allowed its buyers to design their own sneakers inside Nike stores.
This new system allowed the buyers to put on a blank pair of the brand’s sneakers, and then choose their own colors and graphics for those sneakers.
With the help of augmented reality and projection systems, the brand was able to display the finished design on the blank pairs of shoes, which were then printed, and available to the buyer in less than two hours.
Through this marketing effort, the brand managed to drive sales, as well as gather more data about the preferences of their target audience.
Then, Nike used that information, along with machine learning algorithms, in creating future products, as well as developing personalized product recommendations for their target audience.
The coffee chain started using its mobile app along with the loyalty cart to gather and analyze data from consumers.
This promotional effort was launched back in 2016, and since then the company has managed to create an incredible app experience for the consumers.
The coffee brand’s app is able to store the details of past purchases, including the time of day and location.
Then, with predictive analytics, Starbucks processes the information and delivers personalized marketing messages to its consumers.
Those personalized messages range from offers that can increase the average order value from each consumer, to providing recommendations when a consumer is approaching their local store.
Marketers have done plenty of research on consumer needs and wants, and have found that the brands that are able to identify them with the help of predictive analytics can greatly increase their organic revenue, and improve customer loyalty.