The traditional focus marketing method has a shortcoming: it is difficult to connect the right products with the right customers, especially when consumers log out of the system and want to analyze different customer preferences and groups through data, and then convert them into Real preferences will be more difficult and complex. All kinds of marketing activities can only be constantly experimented, trying to find out which one is more effective, which not only consumes a lot of time, but also requires a lot of cost.
In this case, artificial intelligence can provide better focus effects. Artificial intelligence benin whatsapp number data 5 million uses machine learning to analyze users' consumption history data and identify patterns to predict future shopping behaviors, thereby optimizing remarketing strategies. For example, the Appier CrossX programmatic purchasing platform uses artificial intelligence deep learning algorithms to instantly analyze different consumer behaviors and predict which potential consumers have a higher probability of conversion. Marketers can use this judgment to select the customers with the highest potential to set remarketing priorities.
Machine learning can also analyze and integrate consumer behavior and product information to provide personalized marketing experiences, thereby increasing conversion rates. The following are the benefits of applying artificial intelligence to remarketing optimization:
Retarget customers with real potential to improve ROI. Machine learning can distinguish the customer's intention, such as "wanting to shop" or "just shopping." This can help you re-target customers with a higher likelihood of conversion. Do you want to allocate marketing resources to Ke Xiaozhe, who is always browsing the Internet but rarely places an order, or Cai Xiaoying, who will search for products online and buy directly when necessary?