AI marketing uses a combination of artificial intelligence and machine learning to automate, streamline, and measure data analysis, customer service, lead scoring, and social media posting, freeing marketers to focus on strategy and creativity. Its goal is to create more personalized, relevant, and timely marketing messages for the end-user.
One of the most popular and useful applications of ai in marketing is predictive analytics, which helps forecast sales and analyze data. For example, Amazon uses ai to predict which products will sell based on what users have bought in the past, their location, and other factors. The company then uses this information to create product recommendations for their customers, which drives omnichannel business strategies and increases conversions and ROI.
Similarly, Sephora used ai to dispense beauty advice through its chatbot on Kik in 2017. The tool was programmed to ask users questions about their skin and hair type and then use the results to provide product recommendations. In addition to helping customers narrow down their options, the tool also analyzed client behavior and preferences to determine the best time to send marketing messages.
While ai tools can save time by automating tasks, they must be carefully implemented to avoid errors. Inaccurate or incomplete data inputs can cause AI to make incorrect decisions and can even result in disastrous outcomes. Choosing an AI platform that is capable of meeting your goals for speed and productivity will help ensure success. Some AI tools also require the use of a customer’s personal information, which may raise privacy concerns. ai marketing