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Everything You Need To Know About Artificial Intelligence Marketing
Understanding what is important to potential customers will allow businesses to tailor marketing efforts to their momentary goals and desires.
Fremont, CA: Marketers today are all looking for new ways to find and attract their ideal customers. But in the fast-paced and ever-evolving digital marketing landscape, reaching your people and getting results is becoming more and more challenging.
This is where artificial intelligence comes into play.
The Concept of Artificial Intelligence Marketing
Artificial intelligence marketing (AI marketing) uses customer data to predict your customer's next move and improve the customer journey, using AI concepts such as machine learning (ML). Let’s check in detail how it works:
Predictive Behavioral Analytics
Thanks to sophisticated tracking tools, it is now easier than ever to track visitors' actions on your website and use those business intelligence insights to reach out to potential customers. For example, AI provides a company with an understanding of what its next customer may be interested in at a certain moment, so its in-app or in-store assistants in retail can advise them accordingly.
Understanding what is important to potential customers will allow businesses to tailor marketing efforts to their momentary goals and desires. With GPS technology and apps, Macy's, Starbucks, and Sephora send relevant in-app notifications when customers are near their physical stores, for instance.
Improved Prospect Segmentation
AI enables businesses to target specific audiences without human bias. When the focus is clear and not influenced by personal preferences, customers can buy certain products or services at a specific point in time. A business can achieve this if it has the right message and it is appealing as well.
Despite this, most of the information businesses have about their customers is incorrect. In contrast to machine learning customer segmentation, humans find it difficult to find patterns in the collected data. Therefore, it is impossible to get a complete picture of customers' habits, demographics, important life events, preferred products, and lifestyles.
Artificial Intelligence can help you organize your content by themes, whereas ML can quickly learn which topics are relevant to one category of customers and which ones are not. Additionally, ML can then be used to customize and test your outreach strategy across various mediums, including email content, display ads, landing pages, and even personalized sequences within drip campaigns.
As a matter of fact, ML can create highly personalized customer journeys for each unique prospect. One-size-fits-all approaches aren't popular anymore. Algorithms will continuously refine and improve based on results. Once you find a way to connect with a prospect, machine learning models can learn what makes them tick. Now it's time to craft a message that will appeal to customers.