Internet advertisement analysis and online earning

To succeed in the Internet advertising industry, we must solve these three problems.

In the first step, there are two ways to control traffic: one is to rely on the huge traffic of your website, and the other is to aggregate the traffic of many websites. Portal websites are basically the former, while various advertising alliances are basically the latter. Google and other alliances include the former and the latter. Controlling huge traffic is the first step to success. For the Internet industry, this is only the first step and is very important in the future. But for traditional industries, this is basically the most critical step: television, magazines, newspapers, and building advertisements, basically, only the first step can be solved to achieve great success, while the second step is very rough in the traditional industry.

The second step is to solve the problem of display methods, that is, how to precisely display advertisements to target customers without wasting traffic. There are several methods in this regard. Traditionally, advertisements of specific categories are displayed based on the website category. For example, my website webmaster encyclopedia www.111cn.net is a webmaster website, it may be helpful to display specific host domain name advertisements, but it is best for pharmaceutical websites to display medical advertisements. This method is generally represented by monthly subscription advertisements. Advertisers purchase advertisements for their own websites to achieve initial display choices. However, this kind of choice is costly and requires manual selection and cannot be automated. So now we are developing auto-matching technology, typically Google Adsense, which displays ads based on analysis of website content. What is the next generation? It may be based on the user and behavior to match the content. This is the most accurate. This may also be the web2.0 era, especially the way SNS websites are implemented. Further explore the data to discover the needs of each person and display the advertisements he or she is interested in.

The third step is billing. This is always entangled with cheating, and the display method. We also need to consider the actual situation of the sales website. For example, billing by display does not matter to any advertisement on the website. However, for ad groups, if the matching is not high, it is very deficient and prone to cheating; many advertisements purchased by specific category are billed by monthly subscription. Currently, billing by click is popular. This solves the matching problem in principle, because, in principle, if users are not interested, they will not click. If users click, they will be interested. Therefore, merchants do not care about matching, while ad alliances and websites are more concerned about matching. However, the actual problem is that, due to cheating, mistaken click, and so on, the advertising alliance has to invest a lot of effort to prevent such problems, so that sellers can be more assured. Another way is to charge fees based on the sales results. The typical method is Amazon's advertising alliance, Dangdang's Advertising Alliance, which can avoid cheating and fully protect the interests of sellers. However, most of these alliances do not solve the matching problem. It is necessary to inform the releaser to launch the website based on the content of the website. Therefore, they cannot perform exact matching and match each page. Whether this approach can be achieved depends on whether the advertiser's website can track sales. In addition, this method is beneficial to advertisers, and there is no room for cheating on the website. However, advertisers may cheat on the website.

Ideal advertisement: control enough users, analyze user behaviors, accurately deliver advertisements, pay by sales effect, and monitor real sales volume.