大數(shù)據(jù)提高客戶(hù)全用車(chē)生命周期價(jià)值的應(yīng)用研究

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摘 要：利用大數(shù)據(jù)全面系統(tǒng)地對(duì)現(xiàn)有車(chē)主招攬?bào)w系進(jìn)行迭代。在客戶(hù)全用車(chē)周期持續(xù)跟蹤用車(chē)習(xí)慣，基于客戶(hù)行為數(shù)據(jù)，形成客戶(hù)標(biāo)簽，為經(jīng)銷(xiāo)商精準(zhǔn)識(shí)別出不同類(lèi)別客戶(hù)，采取針對(duì)性邀約策略，提升客戶(hù)價(jià)值。對(duì)提高汽車(chē)企業(yè)售后產(chǎn)值有參考意義。

關(guān)鍵詞：大數(shù)據(jù) 數(shù)據(jù)挖掘 客戶(hù)標(biāo)簽 產(chǎn)值提升

Research on the Application of Big Data to Improve the Life Cycle Value of Customers' all-use Vehicles

Li Yanli

Abstract：Big data is used to iterate the existing car owner recruitment system comprehensively and systematically， continuously track the car habits of customers throughout the vehicle cycle， form customer labels based on customer behavior data， accurately identify different types of customers for dealers， and adopt targeted invitation strategies to enhance customer value. The study has reference significance for improving the after-sales output value of automobile enterprises.

Key words：big data， data mining， customer tagging， output value improvement

售后服務(wù)作為汽車(chē)企業(yè)利潤(rùn)來(lái)源的組成部分，隨著汽車(chē)保有量的不斷增長(zhǎng)，扮演起重要角色。（剩余4648字）