Are you listening closely to customer feedback?

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Test and continually learn to improve engagement. Do this by researching not only upstream engagement metrics (likes, clicks, opens) but also downstream engagement metrics (conversions, unsubscribes, ROI). Incorporate qualitative and quantitative research, including interviews. The Role of Artificial Intelligence in Personalization There will be no surprise: the main trend vip data in personalization is the use of artificial intelligence. According to Twilio’s State of Customer Engagement 2024 Report, 7 in 10 companies say they already use AI to personalize content and marketing. One of the main advantages of AI is the ability to process and analyze large amounts of data quickly and accurately. By analyzing customer data, AI algorithms can identify patterns and predict customer behavior, preferences, and needs.

This allows marketers to create personalized experiences for each customer, such as targeted advertising, product recommendations, and personalized messaging. AI can be used to predict customer behavior. For example, gas stations use AI to very cleverly calculate when you are running low on gas so they can send you a reminder. By analyzing past behavior and other data, AI algorithms can predict future user behavior: the likelihood that a customer will make a purchase; products that the customer will purchase; channels used by the client for communication. Personalized AI-based marketing also encourages customers to spend more. For example, it knows what products people often buy together. If your product is cheaper than on the market — everywhere it’s 1,000 hryvnia, and yours is 800 hryvnia — offer a relevant additional product or service for 200 hryvnia.