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Using a reference case from the fashion industry, we introduce how to use the static and dynamic information of the customer to build big data models based on machine learning, such as customer value segementation, customer preferences, customer life cycle stages, customer churn prediction, etc., according to the requirements of different customer segments.We then look at how to design a personalized campaign strategy and to leverage marketing automation tools, and ultimately improve customer loyalty, customer order value and customer value of the entire life cycle.
้่ฟไธไธช้ๆ่กไธ็ๆกไพๅไบซ๏ผไป็ปๅฆไฝๅฉ็จๅฎขๆท็้ๆๅๅจๆไฟกๆฏ่ฟ่กๅบไบๆบๅจๅญฆไน ็ๅคงๆฐๆฎๅๆ๏ผๆฏๅฆๅฎขๆทไปทๅผๅๆใๆถ่ดนๅๅฅฝๅๆใๅฎขๆท็ๅฝๅจๆ้ถๆฎตใๅฎขๆทๆตๅคฑ้ขๆต็ญๅๆ๏ผๆ นๆฎไธๅๅฎขๆท็พคไฝ็้ๆฑๅทฎๅผ๏ผ่ฎพ่ฎก้ๅฏนๆง็ปดๆค/ไฟ้ๆดปๅจ๏ผๅนถ็ปๅ่ชๅจๅ็่ฅ้ๅทฅๅ ท, ไป่ๆ็ปๆๅๅฎขๆทๅฟ ่ฏๅบฆใๅฎขๅไปทๅผไปฅๅๅฎขๆทๆดไธช็ๅฝๅจๆไปทๅผใ
