What Are The Real-Time Examples Of AI In Marketing?
While some examples of AI in marketing are pretty direct, more advanced technology implementations can deliver more profound value to marketers. These advanced solutions can analyze vast amounts of data, not just customer preferences, and identify new revenue streams and business opportunities. These advanced solutions can help marketers prove their value in the organization. Here are three examples of how AI can benefit your marketing function.
A high-performing marketing team uses, on average, seven different applications of AI, including machine learning and artificial intelligence. Most of these teams plan to increase their use of AI this year, and nearly half have already implemented several AI programs. These tools help marketers optimize customer segmentation, personalization, and individual channel experiences. These applications prove to be a game-changer for marketers in both traditional and digital industries.
Another helpful example of AI in marketing is a recommendation. Many brands use messenger applications to communicate with customers and prospects. They are fast and easy to use, and consumers already use these tools to communicate with brands. Chatbots powered by AI can answer common questions and give consumers helpful information. In addition, these applications can analyze the appeal of messages and identify patterns in user behavior.
AI-powered personalization allows marketers to tailor messages to individual customers. Customers expect individualized experiences, and marketers must use this technology to keep their messages relevant to their needs. Personalized campaigns can help brands increase sales by offering customized promotions. AI-powered personalization can be used for email marketing, as well. AI-powered personalization can be helpful for publishers and consumer brands, ensuring they provide personalized experiences for their customers.
AI-based marketing can help improve campaign performance and boost the efficiency of marketing operations. To use AI in marketing, marketers must have massive amounts of data to train the Artificial Intelligence tool. These data can be obtained from the organization’s CRM, marketing campaigns, website data, and other sources. Marketers may supplement the data with second-party sources, including location and weather information. Third-party data can also be used to increase AI-based marketing.
One example of AI-powered personalization is atomic content, which pulls relevant content from a library. Atomic content can include images, videos, and articles. Another example is chatbots that augment human customer service agents. They can provide basic answers to common questions using historical data and past questions. These bots can also free up the time of customer service agents.
Customer Engagement And Sales Conversions
Another example of AI-powered churn prediction is used to keep customers engaged and increase lifetime value. It is a powerful application of AI in marketing and advertising. In this way, Artificial Intelligence can provide marketing insights on the fly. Using these models, Unilever, Sephora, and Urban Outfitters use the technology to improve customer engagement and sales conversions.
These artificial intelligence applications in marketing range from digital banners to social media posts. For example, Waymo has recently announced that it will drive 20 million miles by 2020. The company reported a 0.09 disengagement rate per 1,000 miles. Even if the technology isn’t fully mainstream, it can help marketers better understand their customers and create tailored marketing messages for them.
Another example of AI in marketing is hyper-personalization. Customers who receive personalized experiences tend to rate a brand higher than those who receive generic messages. In addition, personalization builds brand loyalty. Through marketing-AI enhanced profiles, marketers can better understand consumers’ needs and preferences. This personalization goes beyond the standard “Hello First Name” email marketing strategy and provides more advanced personalization.
As another example of AI in marketing, Google’s RankBrain algorithm began to weigh user experience metrics. The user experience measures a website ranks on, such as bounce rate, speak volumes about the human interaction with a website. A high bounce rate, for instance, indicates that a website needs improvement. Artificial Intelligence is a fantastic tool that improves marketing and customer experiences, but it can’t replace marketers.
Dynamic pricing is another application of AI in marketing. This technology analyzes customer behavior and adjusts prices based on supply and demand. As Artificial Intelligence becomes more sophisticated, the AI will become even more intelligent. In the meantime, a company’s costs may be dynamically adapted in real-time based on market conditions and customer trends. If you’ve ever used Amazon, you’ll understand the meaning of dynamic pricing.
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