Increase purchase rates through personalized recommendations

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Increase purchase rates through personalized recommendations

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There is a reason behind every action, and consumer behavior is no exception. So, what factors determine whether a customer makes a purchase?
Combining customer behavior patterns and interests learned by itself and third parties, and using machine learning to analyze the reasons behind their actions, such as out-of-stock, overpriced, or inconvenient checkout pages, etc.

Once the possible reasons behind the behavior are identified, you can list of azerbaijan whatsapp phone numbers interact with them through appropriate channels with personalized content. Wirecard Group's "2018 International Festival Shopping Report" pointed out that 90% of Asian consumers often compare prices through various channels such as apps, mobile phones, laptops and physical stores before making a purchase. Therefore, the correct combination of channels and messages is critical.

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For example, Emma browses your e-commerce app but leaves after putting a little dress in her shopping cart. According to the data, she had recently read a blog article on an external website related to the best ways to dress for a New Year’s Eve party. Therefore, you can send push notifications through the application, including the dress she placed in the shopping cart, as well as personalized product recommendations such as matching high heels and evening bags, prompting her to complete the order.
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