To support scientific and technological innovation, focusing on mining consumption potential, and enhance supply capacity, stimulate vitality of the market and the information industry as stimulating domestic demand, consumption of the new economic growth point. Among these, the use of information tools to promote the development of traditional industries, has become the development of the information in the consumer goods industry title proper meaning.

      In fact, at the economic level, the use of information technology to upgrade traditional industries has become a major industry consensus in order to auto sales, for example, reporters from a number of car manufacturers and dealers noted that digital marketing has become very popular, with digital marketing to the automotive manufacturers with of actual sales value, attention is increasingly being car prices.

      According to TU HUNG ball joint understanding, limited numbers for the economy downturn and other factors, China's auto market bid farewell to the previous rapid growth. Data show that in 2012, China's passenger car sales grew by only generalized 6.8%. China Automobile Dealers Association, executive vice president of branch tangible automotive market forecasting Su Hui, 2013, the overall automobile market trend will not optimistic.

      Industry is not optimistic, car prices will naturally be more emphasis on internet marketing. Nielsen survey, with 90% market share, the Internet has become the main consumers about automotive information channels. Micro-growth era, along with changes in consumer behavior, digital marketing is a car car prices have to do things, car prices and marketing platform should be sufficient preparation.

      The home for the automotive industry verticals represented effect is very significant, gathered through a series of activities of a large number of precise user, bringing a steady stream of sales leads. During the event, to store customer inquiries increased significantly.

      Compared portals, vertical sites for information professional, comprehensive, allowing consumers to grasp first-hand information; community forums and other interactive pages, active in the industry's most accurate potential consumer groups, manufacturers of series of marketing activities, can be vertical portals multi-level, multi-dimensional impact on consumers.

As China's auto market gradually into the stable development track, the gradual thriving automotive aftermarket and automotive marketing people for the digital marketing decisions increasingly desire-depth analysis of customer information and applications (in particular, data mining, marketing applications), will gradually become industry norm, new ideas, methods, techniques and applications will certainly surging.

Data mining and digital marketing decisions on enterprise data management capabilities is a serious test. A relatively high degree of information technology auto companies, generally initially set up their own information system, such as DMS, CRM, ERP, used cars and other systems, but due to restrictions on the division of functions within the enterprise, these systems did not do an effective integration, even if the enterprise is a major effort to establish its own data warehouse and master data management systems, etc., they are mostly a mere formality. Meanwhile, the auto companies and consumers, more than a layer dealer, which is more on the integration of information timeliness, validity, accuracy, and put forward the test. Automotive industry will set off a wave of enterprise-class data integration, business decisions to adapt to the digital basic and rigid demand.

According to TU HUNG ball joint note, with the Chinese car ownership to one hundred million scale forward, and automotive after-market gradually prosperity, customer loyalty management vendors much attention, the corresponding customer loyalty model is also gradually phase into commercial applications. Currently the automotive industry trend is to manage customer loyalty, customer value segmentation model and churn prediction model used in combination, and to construct a new model of customer loyalty, customer value based on different groups and customer churn propensity groups, to develop retention and restore targeted marketing strategies, if coupled with the loss of a certain direction and causes the loss of such quantitative research, the model of marketing applications better.