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The 2013 big data became a matter of great concern, but the concept was vague for many people. For enterprises, the analysis of large data is mainly in order to find marketing ideas. Before in our two palletizing machine site, the data research has always been the case, in general, is not enough attention. After realizing the importance of large data to marketing, the analysis of data is increased. How to analyze marketing work from large data, please listen to me slowly.
The data analysis of marketing work is the best reflection of the effect of marketing work, so we need to have a thorough understanding of the problems reflected in the data. In the data analysis of the marketing work of the palletizing machine, I mainly analyze the following points. In my opinion, this kind of data analysis is also true from the perspective of User experience analysis of marketing, such ideas just in line with the marketing focus on user experience degree of thinking.
1, analysis of user behavior characteristics
The user this piece of data analysis is the most direct embodiment of our two palletizing machine user group, from these user data, we can grasp the user's age, user preferences and purchase habits, and so a large number of user data. In a more in-depth analysis of these data, you can even better understand users than users.
2, analyze the effect of marketing activities
Before the production of palletizing robot to understand the main characteristics of the potential users, analysis of their product expectations, so that the production of the only palletizing robot http://www.fujiyusoki.com.hk/can be, such products are in line with the needs of users. For example, Hunan TV in the film "where the Father" before, there must be a large number of data analysis, including the market analysis, so that the shooting program is in line with user preferences.
3, analysis of competitor data
This data is believed to be the enterprise wants to know, although the other side cannot tell us the data, but we can through the big Data monitoring analysis obtains the related data. Data analysis of competitors is a good way to quickly improve our marketing results. However, attention should be paid to the use of means in competition, not beyond the law. Competitor data monitoring should be reasonable analysis, to avoid weaknesses to learn excellent place.
4, Brand crisis monitoring and management support
New media era, many enterprises have entered the media, hope to use the media to promote their products. We do not two palletizing machine facing the brand crisis, has been looking for countermeasures. Our marketing director said a word, "now many enterprises are playing the media, who has more media resources, the promotion of the brand is half the success." "So we are not two palletizing machine is also increasing the media this piece of input." The analysis of large data can give the enterprise insight in advance. In the process of crisis, the most need is to track the trend of crisis communication, identify important participants to facilitate rapid response. Large data can be collected negative definition content, timely start crisis tracking and alarm.
5. Market Forecast and Decision analysis support
The data analysis of market forecast and decision is advantageous to the control of our markets. Now the data analysis and data mining requirements are much higher than before, but also more comprehensive, faster and more timely large data analysis, multiple market forecasting and decision-making analysis to provide better support. In our not two stacking machine on the market forecast analysis of our decision has a very big help.
In the future, who in the large data analysis ability is stronger, the data control power, in the market competitiveness will have a greater advantage.