Under the influence of digitalization, the market competition is becoming more and more intense, the pace of product and service development and production is also accelerating, the industrial boundaries are becoming increasingly blurred, cross-field, cross-track has become the digital transformation of the enterprise, as the saying goes, you do not necessarily defeat the opponent, this is the new market competition model in the digital era, as long as the user and market demand is appropriate, the enterprise is a big step towards success.

Digital Marketing Analytics

Analysis layer

The first is through the advertising population and marketing development of the target consumer population consistency needs, in the case of marketing management cost issues are getting higher and higher, advertisers want to match as much as possible the placement of the population and the target population, so that they can save the cost of the marketing environment at the same time can enhance the effectiveness of teaching and learning.

Second, there is a need to strengthen the analytical insight system to help advertisers make decisions and improve the user experience. In other words, digital marketing needs an analytical insight system to more accurately insight users and comprehensively analyze them, so as to improve the efficiency of data processing, tap potential demand, stimulate user purchases, and reduce the feedback cycle of users and advertisers.

Third, the evolution of effect monitoring and evaluation capabilities. Advertising fraud occurs from time to time, and problems such as false traffic and unsafe advertising environment have still not been eliminated, especially brand advertisements that are difficult to measure the effect. Therefore, digital marketing needs to establish an effect evaluation mechanism, such as purchasing third-party monitoring or building a safe intermediary platform to ensure advertising effect, data security and authenticity.

User Level

First, the diversified and personalized development of consumption is on the rise, and the new consumer social group represented by "Z era" is the "main force" of the new changes, and the traditional way of consumption behavior and a single marketing information channel are difficult to adapt to the personalized service needs of Chinese consumers. The second is the rise of omni-channel consumption, with the rise of students' personalized consumption psychological needs, consumers are no longer satisfied with single-channel consumption, how to establish a multi-channel consistent customer experience is a major pain point for many small and medium-sized enterprises.

Global perspective of digital marketing

At the data level, enterprises must establish their own customer data platform (CDP) and data management platform (DMP), after all, in the context of digital marketing, only the integration of all data sources and data, data "initiative", in order to grasp the initiative of the data more clearly and profoundly, which is the basis of digital marketing.

At the analysis level, enterprises must gradually establish their own analytical insight system. This process is a great test of the enterprise's data analysis capabilities, with the assistance of CDP or DMP and other data platforms, the marketing department needs to accurately insight into the user, analyze the user in a comprehensive manner, explore the potential needs of consumers, stimulate the purchasing power of consumers, and timely delivery of information to each relevant department.

At the same time, managers also need to monitor and evaluate the whole process in real time in order to adjust their strategies and improve their decision-making ability.Digital Marketing Agency in singapore Of course, in addition to the self-built analytical insight system, third-party analytical tools can also be utilized. Through the use of multiple channels and tools, it can help corporate marketing departments to learn from each other, verify the authenticity and reliability of users' needs, and improve decision-making capabilities.

At the user level, with the changes in consumer groups and consumption habits, enterprises also need to improve their own sales channels, public domain traffic, private domain traffic should be built, traditional e-commerce, interest e-commerce, content e-commerce and other platforms should be rolled out, online and offline are fully integrated, the data is shared and shared, the clientele is accurately positioned, the marketing is timely and comprehensive, and the needs of the users are matched subconsciously.

The Future of Digital Marketing

Standing in a long-term perspective, digital network marketing is a deeper transformation of the enterprise, from the system to the actual economic business, each step may be accompanied by a huge impact of human, financial and material inputs, from the data to carry out reforms at the collection end to the unified management of multiple data sources to analyze the problem of processing, and then to the global information and data technology support, the long-term work process of this country needs to improve the investment of the enterprise, but also with the Service providers to work closely with.

From the perspective of technological development, with the maturity and landing of new technologies such as edge computing and 5G, marketing based on the new "cloud edge" system will evolve from omni-channel to all-scene, all-life, so based on this judgment, it can be deduced that the value of marketing in the future is not only confined to the expansion of the scene and the improvement of the data capacity, but also can provide an unnoticeable environment for users. Moreover, it can provide users with an imperceptible and undisturbed environment. For example, the Internet of Things (IoT) can realize dynamic collection and interaction between users and advertisements, find users' needs, guide recommendations in real time, and complete advertisements interactively.

Enterprises should also be based on information technology, using business intelligence BI and other data-based technology solutions, through data visualization and analysis, data into business and decision-making information, in order to adjust the business development of the enterprise, to deal with abnormal business data indicators in a timely manner, to participate in the decision-making process through the high-frequency, high-information, and to promote the sustainable and healthy development of the enterprise as a whole.