智慧营销的标签化大数据分析技术是去中心化的消费者行为分析模式，是以触达

智慧营销的标签化大数据分析技术是去中心化的消费者行为分析模式，是以触达、消费等行为特征为标准来进行划分。而智慧营销的标签化之所以能够得到实施并促进效果转化，主要是因为智慧营销的标签化以消费者的事实行为数据来构成，事实数据是消费者已经点击、浏览或者购买行为产生后所呈现的数据，能够有效摆脱原有人口学定向因为分析师原有认知有限性而带来的局限性，并得到去中心化的用户画像。

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结果 (英语) 1: [复制]

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The labelled big data analysis technology of smart marketing is a decentralized consumer behavior analysis model, which is divided according to the behavior characteristics such as reach and consumption. The reason why the labeling of smart marketing can be implemented and promote the conversion of effects is mainly because the labeling of smart marketing is composed of the factual behavior data of consumers. The factual data is presented after consumers have clicked, browsed or purchased behaviors. The data can effectively get rid of the limitations of the original demographic orientation due to the limited original cognition of analysts, and obtain decentralized user portraits.

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结果 (英语) 2:[复制]

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The labeled big data analysis technology of smart marketing is a decentralized consumer behavior analysis model, which is divided according to the behavioral characteristics of touch and consumption. The reason why the labeling of smart marketing can be implemented and promote the effect transformation is mainly because the labeling of smart marketing is composed of consumers' factual behavior data. The factual data is the data presented after consumers have clicked, browsed or purchased, which can effectively get rid of the limitations of the original demographic orientation caused by the limitations of analysts' original cognition, and get a decentralized user portrait.

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结果 (英语) 3:[复制]

复制成功！

Smart tagged big data analysis technology of marketing is a decentralized consumer behavior analysis model, which is divided according to the behavioral characteristics such as reaching and consumption. The reason why the labeling of smart marketing can be implemented and promote the effect transformation is mainly because the labeling of smart marketing consists of the factual behavior data of consumers. The factual data is the data presented after consumers have clicked, browsed or bought, which can effectively get rid of the limitations of the original demographic orientation caused by the limited cognition of analysts, and get decentralized user portraits.

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