This article addresses the issues of inaccurate customer positioning and unclear vehicle selling points in domestic new energy vehicle marketing. Firstly, key user evaluation data is obtained from authoritative online vehicle evaluation platforms, and then the data is collected and analyzed to obtain customers’ emotional preferences for a certain vehicle model, in order to form an accurate portrait of the customer group. Then, using the obtained data analysis results, a digital new energy vehicle marketing system was developed. The marketing system adopts a top-down system development model and is functionally divided into three decision-making subsystems: front-end reception, marketing decision-making, and after-sales service. The core of the system is the marketing decision-making module. Based on the data information collected from the customer group in this article, intelligent marketing decision-making and recommendation functions are implemented to help sales successfully complete sales work for each customer.
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