Applications of Generative AI in Marketing

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Artificial intelligence is a modern technology used to make decisions on behalf of a human being. The artificial intelligence revolution impacted many industries and emerged other technologies such as Generative AI.

After a notable expansion in the Generative AI market, employing it in marketing has become crucial.

Generative AI opens new doors for B2B marketers to overcome the content creation challenge in their marketing strategies.

Automating the creation of personalized email campaigns, drafting engaging social media posts, and SEO became more accessible and quicker tasks that improved efficiency and cost savings.

According to Statista, a research study found that 73% of US marketers stated that their organizations had used Generative AI tools, including chatbots, in their line of work in 2023.

The prominent implementation of Generative AI in digital marketing is by generating text, graphics, simulations, audio, and videos using neural networks and analyzing existing data patterns to generate human-like, fresh, and unique content.

The benefits of Generative AI in digital marketing became clear to enhance the customer service experience via chatbots, social media, and even over the phone by providing instant responses with a degree of personalization.

Nevertheless, considering some factors in decoding Generative AI messages is very significant, such as creating an emotional connection and understanding the context, and ethical consideration.

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Hence, the primary difference between Generative AI and traditional AI is its objectives. While AI aims to perform specific tasks based on predefined rules and patterns, Generative AI goes beyond this limitation and strives to create entirely human-like content.

One popular fast food restaurant chain depends on the "Bard" (Recent Google's conversational AI service) in the drive-thru kiosks. The company partnered with Google to take drive-thru orders through a chatbot tailored by Brad. The chatbot brushed to ensure the AI understands the customer lingo, such as "milkshake - Frosty."

Further, the new technology can ignore the noises that could happen in the vehicles and can handle the customers' order changes. However, the restaurant chains' CIO assured that the new technology's purpose is to test new fast, frictionless customer ordering experiences. But, it will not be replaced by coworkers who focus on serving fast, fresh, quality food.

The fashion industry is another example of using Generative AI in digital marketing. Some fashion brands started to use Generative AI to increase the satisfaction of their customers by producing multiple, diversified, and personalized fashion designs.

Generative AI allows designers to create variations on existing designs or combine elements from different sources. So, there are no longer limitations as it generates numerous images in real time with minimal effort, leading to decreased cost and effort.

In addition, some marketers started using Generative AI by generating images and videos as Non-fungible tokens (NFTs)to increase innovation and inspiration.

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Finally, Generative AI is a powerful stack of tools to streamline content production. However, ethics such as accuracy, safety, and looping the human being are necessary to be included in using the new technology.