Aiming at the problems of imperfect innovation system and lack of effective business model in the application of neural network technology in marketing innovation strategy, this paper takes the home appliance market as the research object based on marketing theory, selects Xianyang Branch and Weinan Branch of Midea Group in Shanxi as research cases, and conducts research by analyzing their marketing strategies in the application of neural network technology. Among them, Xianyang Branch adopts innovative marketing model, implements the combination of online sales and physical store sales, carries out event marketing and network marketing, expands the marketing scope with the help of e-commerce platform, promotes with consumer demand as the center and provides personalized services; Weinan Branch adopts traditional marketing model, mainly relying on exclusive store channels, and promotion activities are carried out around price and gifts. There is a lack of promotion methods that meet the personalized needs of users, and brand promotion is mainly based on merchants. The research results show that the average turnover of home appliances of Xianyang Branch is 61.5 million yuan, which is much higher than the 54.44 million yuan of Weinan Branch; its average market share growth rate is 9.55%, which is significantly higher than the 4.88% of Weinan Branch. It can be seen that the marketing innovation strategy based on neural network can effectively improve the market performance of enterprises, and enterprises should actively use this strategy to enhance their market competitiveness.

Shiwei Li. Research on Data Mining Model of Marketing Innovation Strategy Based on Neural Network. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 6: 34-43. https://doi.org/10.25236/FSST.2025.070605.

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