Using AI concepts like machine learning and customer data, artificial intelligence in marketing aims to anticipate the customers’ next moves and enhance their customer journey.
Use of Artificial Intelligence in Marketing
By using AI in marketing for a number of years, some of the world’s most successful brands are seeing gains in profits, brand recognition, and visibility.
Other than a brand’s quality, it’s just as important that it offers a memorable experience to its customers. Companies now have better options for doing that with advancements in artificial intelligence.
AI has the potential to alter how businesses attract, cultivate, and convert prospects, improve the customer journey, and develop marketing strategies that are more successful.
Let’s ponder on how leading brands have used AI for marketing!
Also Read About – Top 10 Programming Languages For Artificial Intelligence
15 Examples of Artificial Intelligence in Marketing
Google has always been current with its use of tools and technology. The use of artificial intelligence in marketing is a good example of where Google has put good use of tech to advance itself further. Marketers can enter up to 15 headlines and four description lines in Google’s responsive search ads.
Using the Google Ads feature, entrepreneurs can target their ads to a specific geographic area, budget, and other requirements to get their businesses off the ground. Additionally, this tool works well with Google Cloud, which provides marketers with even more in-depth audience insights through the use of AI and machine learning.
Even though email marketing has been around for decades, it is still one of the best ways to reach customers.
However, writing new headlines and calls to action in newsletters can be tedious ways to interact.
A large company like Dell has a lot of customers, which means a lot of different market segments. So, Dell came up with a system that uses AI in marketing. They started using AI to streamline the process and improve email marketing results simultaneously.
Both conversions and click-through rates increased by double digits as a result. CTR for Dell’s automated email newsletters also increased by 50%.
An algorithm for real-time pricing optimization was introduced by Airbnb in collaboration with a machine-learning company.
It was able to accomplish this by examining the building’s characteristics, location, and other characteristics and comparing it to other locations in the vicinity.
While renters gain more customers, the AirBnB algorithm assists users in finding the best price for their stays.
One of the artificial intelligence marketing examples, it is also capable of raising prices in response to rising demand around holidays and other events or lowering prices to fill rooms that they believe will remain vacant.
Grammarly is a writing assistant powered by AI, not a full AI writing tool. It can’t take the place of a writer or come up with ideas. However, Grammarly is one of the most advanced AI writing tools in terms of quality and accuracy. It is an absolute help for any writer in today’s world as it can significantly enhance any content.
It also helps one improve the content that they already have by correcting any grammatical errors, keeping the writing concise, avoiding overuse of words, and making it sound more confident. And this in turn becomes a tool of AI in digital marketing or marketing.
Additionally, Grammarly also has a Premium version that is more advanced and provides you with additional insights to improve your writing.
One brand that uses its loyalty card and mobile app to collect and analyze customer data is Starbucks. The role of artificial intelligence in marketing has acted in enhancing its app experience.
It keeps track of the specifics of purchases, such as where they are made and when they are made. Starbucks processes this data using predictive analytics to provide customers with individualized marketing messages. When a user approaches a nearby store, these messages include special offers and recommendations to increase the customer’s average order value.
Unilever extracts insights from a variety of sources, including traditional marketing research, customer relationship management (CRM), and social listening, using AI data centers. This led to one of the most successful artificial intelligence advertising examples.
It discovered a connection between ice cream and breakfast using this technology. Using this knowledge, Unilever created a line of cereal-flavored ice creams for the Ben & Jerry’s brand, including Fruit Loop and Frozen Flakes.
- Amazon Personalize
The machine learning service Amazon Personalize makes it simple for developers to create scalable personalized user experiences.
Through Amazon Personalize, one can quickly create and implement useful recommendations on their website, including product and content recommendations, by utilizing AI in marketing. Users become more engaged with pages, content, and products as a result of these recommendations, which increases revenue.
Amazon Personalize works with every device and marketing channel. Therefore, personalized recommendations can be made at every stage of a user’s interaction with the brand.
McDonald’s advertises its limited-time McCafe specialty coffee offerings with IBM Watson’s AI in Advertising. While measuring in-store visits, they wanted to increase engagement and encourage customers to make purchases. To achieve these goals, McDonald’s integrated McDonald’s into The Weather Channel mobile app’s seamless flow with native photos and high-impact brand backgrounds.
Sephora has been utilizing chatbot technology to provide its customers with the most customized and informative shopping experience possible.
The company discovered after conducting extensive consumer research that many customers found Sephora’s extensive product selection to be overwhelming, necessitating a number of pages to locate something suitable in particular categories. This is thus an example of AI in digital marketing.
The quiz is led by chatbots that provide individualized advice based on specific answers or responses. It now offers a Facebook Messenger-based shopping service powered by a chatbot.
Netflix uses AI-driven machine learning technology to provide personalized content recommendations based on a user’s preferences. This enhances its overall user experience and tailors its service to the individual user.
Additionally, Netflix makes use of artificial intelligence development to automatically optimize streaming quality and avoid buffering or quality issues. This is a perfect example of the role of artificial intelligence in marketing.
Natural language processing (NLP) technology was used by Nestle to produce targeted content for various audience segments. This was meant to enhance its content marketing efforts and create personalized communications for its audience.
In addition to this content-focused innovation, Nestle uses AI-driven data processing platforms to truly understand its customers, resulting in new innovations such as virtual assistants and chatbots. This digital shift, which has increased sales in recent years, consistently transforms insight.
Alibaba Group, a Chinese technology, and retail conglomerate opened its Fashion AI store. Smart mirrors display clothing information and suggest coordinating items. Integration of AI in marketing with a virtual wardrobe app enables customers to see the outfits they tried on in-store were all part of the store’s strategy to simplify the fashion retail experience for customers.
Alibaba also used technology that is similar to Amazon’s to provide customers with personalized recommendations and search results. It also automatically generated storefronts that display the products that each customer finds to be most appealing.
BMW’s design and engineering processes, sales, and customer support are powered by Big Data. The company has already constructed an AI-enhanced sports car that learns about its driver and automatically adjusts systems and the cabin experience to suit each individual. Predictive analytics are used to create the designs of tomorrow’s automobiles.
BMW also introduced an AI-based personal assistant that allows drivers to communicate with their automobiles in the same manner as they do with smartphones. In addition, it provides alerts, functions as a voice-activated manual, and predicts travel routes.
A new system that let customers design their own sneakers in-store had been introduced by Nike. This is not only a great way to increase sales, but it also collects a lot of useful data. One of the successful artificial intelligence marketing examples, is that machine learning algorithms could design future products and provide personalized recommendations and marketing messages.
Phrasee, a customer experience platform powered by artificial intelligence, has been helping the company improve its email marketing copy.
For an organization of eBay’s size, email marketing can become a little more difficult. It is a huge undertaking to create compelling subject lines that will increase open rates given the large numbers of email subscribers in just the United States, the United Kingdom, and Germany.
eBay used a combination of natural language generation and deep learning to create a copy at scale while dynamically optimizing performance in order to shift the creative burden away from its internal team.
AI plays a crucial role in performance measurement and data analytics. Marketers can use AI to monitor how well their campaigns are performing, from mass-market messaging to individual social media posts. Marketers can also use the power of AI to optimize their company standards in accordance with the goals and metrics that matter to the business.
There are a number of artificial intelligence marketing examples of brands. Brands and firms leverage this growth in tech.
The above case studies and examples have changed the face of marketing.
So read on and find out what’s up with marketing and advertising, as AI grows!