There are so many big data marketing platforms

Big data marketing is a marketing method based on a large amount of data from multiple platforms and applied to the Internet advertising industry on the basis of big data technology. The core of big data marketing is to let online advertisements be delivered to the right people at the right time, through the right carrier and in the right way.

Big data marketing originates from the Internet industry and also acts on the Internet industry. Relying on multi-platform big data collection and the analysis and prediction ability of big data technology can make advertising more accurate and effective, and bring higher return on investment to brand enterprises.

Data definition:

Big data marketing refers to collecting a large amount of behavioral data through the Internet, first helping advertisers find out the target audience, thus predicting and distributing the content, time and form of advertisements, and finally completing the marketing process of advertisements.

Big data marketing, with the popularity of digital living space, the total amount of information in the world has exploded. Based on this trend, new concepts and paradigms such as big data and cloud computing have emerged widely, which is undoubtedly leading a new wave of Internet.

Data characteristics:

Multi-platform data collection: the data sources of big data are usually diversified, and multi-platform data collection can make the characterization of netizens' behavior more comprehensive and accurate. Multi-platform collection in the future can include Internet, mobile Internet, radio and television network, smart TV, outdoor smart screen and other data.

Emphasis on timeliness: in the network age, the consumption behavior and purchase methods of netizens can easily change in a short time. It is very important to carry out marketing in time when the demand of netizens is the highest. AdTime, the world's leading big data marketing company, puts forward a time marketing strategy to fully understand the needs of netizens through technical means, respond to the current needs of every netizen in time, and let him receive commodity advertisements in time during the "prime time" when he decides to buy.

Personalized marketing: In the Internet era, the marketing concept of advertisers has changed from "media-oriented" to "audience-oriented". In the past, marketing activities must be media-oriented, and the media with high popularity and large number of views should be selected for delivery. Today's advertisers are completely audience-oriented, because big data technology can let them know where the target audience is and which screen they are concerned about. Big data technology can make advertising content different when different users pay attention to the same interface of the same media, and big data marketing realizes personalized marketing for netizens.

Cost-effective: Compared with traditional advertising, big data marketing makes advertisers' delivery targeted to the greatest extent, and can adjust the delivery strategy in time according to real-time effect feedback.

Relevance: An important feature of big data marketing lies in the relevance between advertisements that netizens pay attention to. Because big data can quickly know what the target audience is concerned about and where the netizens are, these valuable information can make the advertising process more relevant than ever. That is, the last advertisement seen by netizens can interact deeply with the next advertisement.

The realization process of big data marketing:

Big data marketing is not a conceptual term, but a technical realization process based on a large number of operations. Although the topics surrounding big data are endless, most people are not clear about the process of big data marketing. In fact, many technology-driven enterprises in China are also deeply involved in the field of big data. AdTime, the world's leading big data marketing platform, is the first to launch the cloud map of the big data advertising operation platform. According to reports, the cloud of the cloud image represents cloud computing and the map represents visualization. The significance of cloud map is to visualize cloud computing and make the process of big data marketing no longer mysterious.