How can the e-commerce industry use customer data to carry out personalized email marketing?

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In the e-commerce field, traditional general product and promotional information emails are no longer able to stimulate user interest. Personalized email marketing based on data is becoming a key strategy to improve lead conversion rates, opening up a more competitive development path for e-commerce companies.

E-commerce companies should make full use of customer data, including users’ past purchase data, offline store sales data, users’ historical browsing data, information about remaining items in the shopping cart, and users’ location information, and carefully build a personalized email marketing system to effectively improve users’ purchase intention and conversion rate and achieve sustainable development of the company.

How to carry out personalized marketing based on data can be considered from the following points:


1. User past purchase data: key basis for understanding user preferences
The user's past purchase behavior is like a mirror that can accurately reflect their interest preferences and consumption habits, and is an important reference for predicting their future behavior. By deeply analyzing the user's purchase history, we can clearly understand the key information such as the style, brand, and product type that they are most uae telegram number database interested in. Based on this valuable data, e-commerce companies can recommend specific promotional items to users in a targeted manner. However, they must be cautious in implementing this strategy. Excessive discounts and promotions may make users dependent. Once users are "spoiled", it is not good for the long-term development of the company.

For example, based on the user's purchase history, recommend related new products or complementary products. If the user buys a high-end smartphone, you can recommend matching accessories such as mobile phone cases, wireless headphones, smart bracelets, etc. to enhance the user's shopping experience. At the same time, the frequency and method of recommendations should be properly controlled to avoid boring users. Recommendations can be made regularly, such as once a month, or after the user completes a specific purchase, such as recommending related accessories within a week after purchasing a certain type of electronic product. In addition, personalized email titles and content design can be used to attract users' attention and increase email open rates and conversion rates.