Big Data Era Marketing Strategies

Marketing strategy in the era of big data

1, the use of big data to improve the advertising strategy

A famous saying in the advertising circle: I know that half of my ads are wasted, but I don't know which half is wasted. Currently, more and more enterprises in the big data thinking under the guidance of advertising, advertising can be directed by the crowd, cast to the accurate target customers. In particular, Internet advertising is now capable of delivering the most suitable advertisements to different people, and at the same time, who watched the advertisements and how many times they watched the advertisements can be understood and monitored through the form of data, so that the enterprises can better evaluate the effect of the advertisements, and thus make the enterprises' advertisement strategy more effective.

2. Accurate promotion strategy based on big data

Without precise positioning of target consumers, blind promotion is the main reason why many enterprises carry out marketing promotion without effect or with little effect. An important feature of the big data era is the ability to comprehensively collect and analyze consumer information data in real time, so as to target and accurately market the most suitable products or services to them according to their different preferences, interests, and purchasing habits. On the other hand, by updating and enriching consumer data in a timely and dynamic manner, and utilizing data mining techniques to predict consumers' next steps or deeper needs, we can further increase our promotional efforts, and ultimately achieve the goal of greatly increasing enterprise profits.

3, the implementation of the scale of personalized product strategy

The traditional marketing product strategy is that the same packaging and quality of products sold to all the customers of the enterprise, or the same brand, a number of different packaging of different quality levels of products sold to a number of relatively large groups of customers, which makes a lot of companies a lot of products are more and more Lose the attraction of consumers, increasingly unable to meet the individual needs of consumers.

In recent years, with the development of science and technology and the Internet, the social manufacturing to production?

In recent years, with the development of technology and the Internet, society's production and manufacturing to the production of intellectual property, the transformation of big data through correlation analysis, the customer and the product for the organic chain, the user's product preferences, customer relationship preferences for personalized positioning, and then feedback to the enterprise's brand, product development departments, and the launch of the product with the consumer personality to match.

4, big data makes the marketing channel performance potential to be fully tapped

The previous marketing. Most of the channel to take the agency system, or purchase and sale system, the enterprise and agents or dealers between the existence of a game relationship, the mutual information is often not **** enjoy, but also often occur conflict of interest. In the big data environment, enterprises can only establish a big data marketing system platform with all the partners to focus on the advantages of big data, Internet of Things, cloud computing, mobile e-commerce, and thus continuously expand the extension and connotation of enterprise marketing channels.

Through the marketing channel all parties coordinated to enhance the consumer's product brand, the good experience of the service, and then trigger the customer more strong desire to buy, promote the customer and the enterprise brand affinity more closely, enhance the enterprise's profit margins.

5, the use of enterprise big data integration system to develop a scientific price system strategy

Now, many companies have built a big data marketing platform based on big data technology, to achieve the collection of massive amounts of different types of data, and across a variety of different systems, such as different channel platforms (network sales platforms, and physical wholesale, retail platforms).

This will help companies quickly collect massive amounts of consumer data, analyze insights and predict consumer preferences, consumer price acceptance; analyze test sales data in the form of a variety of channels; and consumer response to the price segments of the various product combinations planned by the company. Enable the use of big data technology to understand customer behavior and feedback, a deep understanding of customer needs, focus on customer behavior, and then efficiently analyze the information and make predictions, constantly adjusting the direction of the product function, verify the commercial value of the product, and develop a scientific pricing strategy.