Examples of AI in Marketing



The widespread adoption of artificial intelligence (AI) was once considered a far-fetched notion dreamed up in sci-fi stories, but it’s now a living, breathing part of our everyday reality.

Today’s marketers are all looking for new ways to find and attract their ideal audience. But in the fast-paced and ever-evolving digital marketing landscape, it’s getting harder and harder to reach your people and get results.

While AI has been proven to enhance our daily consumer lives—with the adoption of autonomous vehicle technology, fitness devices, voice assistants, and smartphones—it has also served to improve the digital marketing efforts of businesses across many industries.Not only is AI proven to boost a company’s productivity, but if leveraged strategically, autonomous technology can help brands to streamline their workflows to deliver more effective marketing campaigns. AI is known to meet their customers’ expectations head-on at every stage of their journey and boost conversions and prompt sales across a multitude of channels and touchpoints.

Many giant companies are now using AI in their marketing efforts efficiently. Here are few examples of the same:

*Sephora: The thriving cosmetics brand Sephora was ahead of its time in understanding the power of AI. It has been using chatbot technology to offer its audience the most personalized, informational customer experience possible. After conducting some extensive consumer research, the brand realized that many customers found Sephora’s extensive choice of products overwhelming, having to browse through a host of pages to find something suitable in certain categories.In response to this, Sephora launched an interactive quiz to help guide its users through the shopping process, led by chatbots which offer tailored tips and suggestions based on specific answers or responses. Due to the success of the initiative, Sephora then proceeded to offer its very own chatbot-powered shopping service via Facebook Messenger as it continues going from strength to strength.This ultra-personalized AI-powered Messenger service includes a virtual colour match assistant, a reservations assistant, and even a KitBot which is an autonomous make-up tips and advice expert.

*Nike: Nike is a great example to show how Artificial Intelligence can be used as a great customer experience and, at the same time, help brands find trends emerging from data. Nike Makers’ Experience uses the company’s practice of working closely with athletes to create new models, with putting the audience in the mix.The concept studio allows anyone to create their personalized Nikes based on dynamic object tracking and projections. Patterns are created using an AI to convert inputs like birth date and interests into visual concepts, customized for each person.The result is a unique design based on the customers’ history and personality which speeds up purchasing decisions. Additionally, using machine learning, the company can use the data collected directly from their leads to predict emerging trends. It is a huge win for both sides.

*IBM: IBM empowers companies to fine-tune their marketing strategies with artificial intelligence. The AI assistant IBMWatson locates prospective audiences, selects relevant creative content and engages target audiences in one-on-one conversations. As a result, businesses have found better ways to spend their marketing budgets while shaping ad campaigns around audiences’ interests.

*Netflix: Netflix is the world’s leading SVoD content streaming service. As it is known, user experience (UX) is paramount to the ongoing success of any business, regardless of its industry and when a customer has a positive experience with a brand, they're likely to share it with their peers online.To enhance its overall UX and tailor its service to the individual user, Netflix uses AI-driven machine learning technology to provide personalized content recommendations based on a user’s preferences in addition to what they’ve enjoyed in the past. Moreover, Netflix uses an AI development to automatically optimize streaming quality and avoid any quality or buffering issues.Over 80% of the shows people watch on Netflix are now based on its personal recommendations platform which is a testament to its power at a time where people demand more value than ever from the brands they’re willing to invest in.

*Google: Google’s responsive search ads enable marketers to enter up to 15 headlines and four description lines. With the GoogleAds feature, entrepreneurs can jumpstart their businesses by tailoring their ads to geographic range, budgetary needs and other factors. This tool also pairs well with Google Cloud, which relies on AI and machinelearning to deliver even more in-depth audience insights to marketers.

*Starbucks: Starbucks is one example of a brand using its loyalty card and mobile app to collect and analyse customer data. They announced plans for personalization back in 2016.Since then, they’ve built an excellent app experience. It records the details of purchases, including where they are made and at what time of day. Starbucks uses predictive analytics to process this data and serve customers with personalized marketing messages. These messages include recommendations when a user approaches a local store and special offers to increase the customer’s average order value.

*Nestle: To enhance its content marketing efforts and create personalized communications for its audience, global food and beverage giant Nestle used natural language processing (NLP) technology to produce targeted content for various segments of its audience.In addition to this content-centric innovation, Nestle also uses AI-driven data processing platforms to get well and truly under the skin of its customers.This resulted in new innovations including virtual assistants and chatbots that are consistently transforming insight into action which is a digital shift that has advanced sales in recent years.

Indeed, if utilized tactically and creatively, by marketing companies, AI technology has the potential to help brands connect with their audience on a deeper level than ever before, resulting in ongoing business growth which is hard to overlook.

Priya Sharma

Priya Sharma is a content writer at GaneshaIdol.com, where she writes about Hindu gods and goddesses. She has a Master's degree in English Literature and is passionate about writing, reading, and traveling.

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