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10 Creative AI Marketing Examples and Use Cases

AI in Marketing: The Trends, Examples, Tips, and Tools

AI For Marketers: 10 Examples

AI helps you create more personalized messages to your customers, achieving a unique one-to-one interaction that can result in brand loyalty. Trussardi used Socialbakers’ content insights and social attribution dashboards to build and analyze a content strategy measured against social and digital KPIs. That data allows you to track your brand reputation, find new audiences to target and identify promising customer trends. Studies show that 54% of consumers want to see more video content from a brand or business they support. And consumers are expected to even spend more time watching video content.

AI For Marketers: 10 Examples

To learn more about how AI can impact your SEO efforts, visit HubSpot Academy. Our Keyword Research for SEO course includes information on how search engines leverage AI to suggest related searches by keywords. This insight can help marketers develop better campaigns that actually produce sales and ROI. The company has trained its chatbot to answer questions, even if it’s outside a pre-programmed path.

Success Stories of Organizations Harnessing AI and Business Intelligence for Transformative Outcomes

Well, luckily for us, we don't have to worry about a cyborg takeover just yet. AI‘s computational power and human creativity, judgment, and intuition create a powerful dynamic that enhances decision-making, problem-solving, and innovation. It’s an incredibly powerful tool, but it works best when complemented by human creativity and critical thinking. Almost half of marketers in our survey who use generative AI say they’ve received information that they know is incorrect. Only 27% are very confident they would know if the information were inaccurate.

AI For Marketers: 10 Examples

Instead of chatting back and forth and just asking/answering questions, she recommends starting an initial query and using ChatGPT’s prompt edit button to reflect the difference in the desired output. “I was trying to research websites and data points, but I wasn’t getting there fast enough. [AI] helped me connect dots faster than I could have done on my own. And I used it to flesh out what became the framework for a global campaign,” she says.

Benefits of user-generated content on brand engagement

Using AI in marketing sounds intimidating to many due to a common misconception that AI could replace humans threatful to us. Although this is a misconception, if used ethically and creatively, AI can enhance your marketing efforts, cut costs, and save time. Here are some great AI marketing examples and brand use cases to help you get started.

AI For Examples

When it comes to improving workflows, Leffer advises teams to first audit every discrete step in their existing processes. Identify where AI can expedite your workflow or improve the quality of your final output. Leffer underscores how part of the AI learning curve stems from not knowing how to prompt.

This approach solves the problem of inefficient targeting and wasted ad spend, which can occur when ads are shown to the wrong audience. With the help of AI, you can now identify and serve ads to the right audience at the right time. Chatbots are AI-powered virtual assistants that can engage with customers, answer their questions, and even guide them through the buying process.

AI also makes sure your business shows up accurately in search across many different geographic areas. AI can offer suggestions on how you can improve your existing content in order to rank higher. From computer vision to healthcare research, Google increasingly implements AI technology in nearly everything they do.

AI marketing examples: field-specific use cases

The use of AI in market research has revolutionized the industry by providing groundbreaking solutions and unparalleled insights. By automating tedious tasks and uncovering hidden patterns within large datasets, AI has taken research to new heights. In this article, we will look at the current and future state of AI in market research, cover various applications of AI in this field, and provide a list of useful tools to consider. Marketers can use Murf's voice changer feature to change home-recorded audio into a professional-sounding one in just a few minutes. All they have to do is upload the recording to Murf, choose an AI voice of their choice, edit out unwanted words and background noise, add background music, and render. As such, marketers can take the recording of any individual and convert that into a professional voiceover for their explainer videos or product demos for social media posts.

  • For instance, AR gives the customers who shop online the chance to view the product, in the same way, they would if they were in a physical store.
  • Using Murf AI, marketers can quickly create voiceovers for their advertising campaigns just by adding text as input in the form of text files from, for instance, Microsoft Word or Google Docs.
  • The world's largest coffee company has also employed AI marketing research to enhance user experience to the point where it keeps track of purchase information, including when and what was purchased.
  • There are a few main differences between machine learning and artificial intelligence.

In addition to content generation tools, you’ll also want to add a type of grammar checker to your list. To help work out follower quality and identify fake accounts, their AI will check for elements like strange profile names, number of posts, repetitive comment patterns, and links to spam websites. It can also be used to identify inactive accounts that will hurt engagement. It does that by using AI to analyze the type of content that influencers typically share and their interactions.

An AI marketing tool is a software application that uses artificial intelligence algorithms to assist marketers in streamlining and automating various aspects of their work. An AI marketing platform can help businesses optimize their marketing strategies by analyzing large amounts of data, generating insights, and automating specific processes. The use cases of artificial intelligence in marketing also emphasize the development of personalized content. Generative AI tools utilize a combination of machine learning algorithms, data analysis, and natural language processing for creating personalized content. H&M uses AI to analyze customer data and create more targeted marketing campaigns.

Social media is a treasure trove of insights into the habits, needs, and interests of consumers. As mentioned, AI systems have the capacity to monitor social feeds 24/7 and track mentions, trends, or events relevant to your marketing efforts. As such a high-value channel, it’s no wonder that specialized AI tools exist to take full advantage of it. These tools use typical AI-powered content generation and personalization to optimize the messaging for individual leads. However, they also come with tools to optimize the subject line to improve open rates and hook the reader. 29% of marketers believe that email is their most successful marketing channel.

Marketers know you love them and this is the reason why they are there. Free email consultation with a Mailmodo expert to optimize your email marketing. The AI collects the data and recommends the shows, movies, and even the artwork that you see is personalized according to the user.

AI For Marketers: 10 Examples

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