What opportunities and challenges do you think big data technology has brought to the advertising in

Big data technology makes the development of the advertising industry more broad, and the needs of customers will be more extensive, and the materials that can be used to produce advertisements are more convenient to collect, but the challenge is that the wide application of big data technology makes more and more people engaged in the advertising industry, and their competition is getting bigger and bigger.

Big data technology has made the development of the advertising industry more marketable, and the process of producing advertisements is simpler, but it is also facing great challenges, that is, the pressure from peers is increasing.

The development of big data technology has brought convenience to the dissemination of advertising, and at the same time, the development of big data has enriched people's lives more and more, and people may not care too much about advertising.

The use of big data technology can make the content of advertising more diverse and rich, but it also brings expensive port advertising costs.

Advertising using big data technology can take many forms, but at the same time, people will turn off these ads through other channels.

If big data technology is used well, then advertising can be better disseminated, but if it is not used well, it will not be spread in place, and many people will not know.

Big data technology makes it easier for advertising to spread and quickly let people know about the brand, but at the same time, the competitiveness is also increasing, and the pressure is also increasing.

In recent years, big data has gradually entered all aspects of our lives and has invisibly affected our lives. The subject's question is good, and it has good practical significance and research value. Media advertising is an important part of all business ecology in the early stage.

In the traditional media in the past, TV and radio were the most important advertising methods. Nowadays, the Internet has penetrated into every action in our lives, and our words and deeds will leave traces on the Internet. Therefore, the emerging media advertising can rely on the Internet and our data and information for more effective delivery and delivery.

To be precise, it is possible to build something similar to a recommendation system, and establish an adaptive bridge and system in terms of user group portraits, user hobby calibration and advertising attributes, etc., so as to conduct more targeted advertising and marketing. In general, a recommendation system can be based on several aspects: content-based deferred recommendations, collaboratively filtered recommendations, and mixed recommendations.

Using these tools and big data information on the Internet's own platform, I believe that we can achieve more effective advertising, and user-level advertising is also customized.

Big data has no impact on advertising itself. What affects advertising is the value of the traffic platform itself. Whether a traffic platform attracts advertisers or not determines the investment in advertising.

For example, if an advertiser has an advertising plan, he will first choose Toutiao, and then consider Tencent, or consider that it is the value of the platform that determines who he chooses, not because of big data to determine his choice.

Big data is just a tool, which is widely used, which can be used to profile advertisers and customers according to the needs, and can lock geofences to find accurate users. Big data also has algorithms, based on registered user information, to calculate the user's interest Ai Sui or Wang Hao, age structure, and then distribute information related to interests. Achieve precise pushing.

Due to the era of mobile Internet, information is fragmented and browsed in seconds, and the only way to capture user browsing in the super traffic platform is to rely on big data means. For example, if you like fishing, the traffic platform will accurately push various fishing messages according to your interests and hobbies, including**, also**, constantly updating content around your interests and hobbies, and realizing this push is a big data algorithm to let you know more content. In the process of browsing, some guessing about fishing tackle advertisements are also pushed, fishing rods, bait, and equipment a full set of services customized for you Finally, let you click on the advertisement, natural order.

This is the effect of the magic of large numbers of wax and wax.

Therefore, big data has no impact on advertising behavior, but has a great impact on the advertising effect after delivery.

The application of big data has improved online advertising.

Hello dear<>

We're happy to answer your questions! The application of big data has improved the quality of online advertisingBig data mainly refers to the use of modern data transmission technology to analyze, integrate and process all data and information, which can help people better grasp the trend and characteristics of data dissemination, the effect of information dissemination, and clarify the mechanism and characteristics of information data. The application of big data technology in online advertising can effectively analyze the group characteristics, location characteristics and network browsing time of target customers, make advertising more accurate and effective, and also greatly reduce the operating costs of advertising operators and optimize the communication system of online advertising.

Mobile advertising has gradually developed vigorously with the support of mobile smart devices. According to relevant surveys, mobile advertising can be roughly divided into three categories: game advertising, web advertising, and terminal advertising according to the different carriers and media. Among them, web ads can be divided into several categories, such as web ads, page pop-up ads, and horizontal ads.

Especially in the process of rapid development of information and data, the way and category of advertising presentation have also undergone profound changes, and compared with China's traditional TV advertising, radio advertising, outdoor advertising, newspaper advertising, and magazine advertising, online advertising has more distinctive characteristics, such as directionality, diversity, and tracking. The first is the directional characteristic, before the online ** advertisement, the operator will lock the target customer group in advance according to user behavior and advertising content, and meet the development needs of users according to the content and method of delivery. The second is diversity, online advertising has a variety of delivery channels, can be delivered through the first, game terminals, software terminals, etc., can be displayed in front of users in the form of **, **, according to relevant surveys, 56% of small and medium-sized advertisers in China gradually will love the first Kai return mode, funny elements, fashion elements into the network ** advertising, so that online advertising is more in line with the aesthetic needs of users.

Finally, there is the tracking feature, where advertisers judge the user's interest based on the user's blocking behavior of a specific ad, so as to reduce the amount of corresponding ads and improve the quality of ads.

Hello, the advantages and disadvantages of advertising planning in the context of big data are as follows: Advantages:1

Data support: In the era of big data, advertising planning can make full use of various data analysis tools and technologies to formulate more scientific and accurate advertising strategies by analyzing a large amount of data such as user behavior, purchase behavior, and consumer psychology. 2.

Precise delivery: Through big data analysis, advertising planning can better understand the characteristics of the audience, so as to carry out more accurate advertising, improve advertising effectiveness and real-time monitoring: In the era of big data, advertising planning can monitor advertising effect and audience feedback in real time, adjust advertising strategies in time, and avoid unnecessary losses.

Disadvantages are noisy: 1High cost of data acquisition:

For small businesses, the cost of obtaining a large amount of data is relatively high, so in the process of advertising planning, it may be limited by the acquisition of data and information; 2.Complex data analysis: For some advertising planners who lack experience in data analysis, they may feel at a loss in the face of a large amount of data and various data analysis tools. 3.

Unconventional creativity is limited: Creativity can be limited when relying on data. Data is just a tool, and planners can't rely solely on it, they need to have unconventional creatives to engage their audiences.

Definition and classification of the advertising industry.

Advertising refers to commercial advertisements in which commodity operators or service providers directly or indirectly introduce the goods they promote or the services they provide through certain media and forms at their expense. Advertisers, advertising agents, advertising publishers, and market consumers are the four main bodies of the advertising industry, and market consumers are the foundation for the survival of the three main bodies of advertising publishers, advertisers, and advertising agents.

According to the specific form of its distribution media, advertising can be divided into TV advertising, online advertising, radio advertising, print advertising (newspaper advertising and magazine advertising), outdoor advertising, etc.

Global advertising industry market size analysis**.

The U.S. is still the largest country in total ad spend, while China has risen to second place in the world, and these two countries are expected to see the largest growth in ad spend in the coming years, with China and the U.S. set to grow nearly one-half of the global ad spend growth. Global ad spend growth is expected to increase from 2017 to 2018. Global ad spending will reach $589.5 billion in 2018.