Artificial Intelligence in Marketing

To use AI in marketing, typically, the AI will collect data, learn customer behaviors, and analyze this information to help a business achieve its goals. AI can even reach out to customers who do a specific behavior on your website, like clicking a button or liking social media posts.

A great AI marketing example can be of Cyber Inc. Cyber Inc made it happen with Synthesia AI, an AI video creation platform to generate videos for their online courses. Cyber Inc. wanted to quickly scale with content creation and expand its global reach by creating videos in multiple languages.

Ad Campaign Optimization: AI algorithms optimize digital advertising campaigns by analyzing data on user behavior, preferences, and engagement with ads. This helps in delivering targeted ads to the right audience, optimizing ad spend, and increasing ad performance.

With AI, marketers can deliver personalized messaging at scale, creating more engaging experiences for customers and enhancing the ROI of their campaigns. Moreover, AI is powering chatbots and other customer service tools.

Four kinds of marketing AI?

Harvard Business Review breaks down four kinds of marketing AI:

• Stand-alone machine learning apps.
• Integrated machine learning apps.
• Stand-alone task automation apps.
• Integrated task automation apps.Increased Personalization: Personalization is already a top priority for many marketers, and AI will play an even more significant role in enabling hyper-personalization. With AI, marketers can analyze a customer's behavior, preferences, and past interactions with a brand to create personalized content and experiences.With the help of AI, marketers can move beyond simple demographic targeting and create dynamic customer segments. It does this by "crunching the numbers" to predict consumer behavior based on past interactions. Platforms like Netflix, for example, leverage AI to analyze viewers' preferences and viewing history.
• By examining data trails such as search history, purchase patterns, and social media activity, AI can anticipate content users will likely find engaging. This predictive prowess allows marketers to preemptively serve users with engaging, relevant content, allowing them to connect with their audience on a deeper level.