With the huge response from Baidu's information stream products at the user end, Baidu's information stream advertising came into being. According to reports, Baidu's information flow advertisements are based on Baidu's information flow accuracy recommendations , and rely on Baidu's big data , intention-directed, smart placement and other multiple leading technologies to intersperse the display of native advertisements in the Baidu information flow. Currently, Baidu's information flow advertisements have been launched on mobile Baidu clients and Baidu browser mobile terminals. Baidu's information flow advertisements have once again fully utilized Baidu's data and technology advantages compared to traditional network placement.

Three media advantages, accurate reaching 600 million users

Good advertising products first need a powerful media platform. Compared with other information platforms, Baidu Information Stream has three major advantages: a large user base, massive quality content, and an accurate recommendation algorithm. According to Baidu's third-quarter financial report, Baidu Mobile's monthly active subscriber number has reached 660 million, firmly occupying the mobile Internet era traffic portal.

At the content level, Baidu’s information stream has opened up hundreds of content platforms such as Baidu News, Baijiahao, Baidu Encyclopedia, and Baidu Post Bar to provide users with high quality content. With Baidu artificial intelligence (AI), natural language processing (NLP), and deep learning (Learning), Baidu's information stream not only realizes "the mobile phone Baidu sees information, thousands of people are different from each other," but also can feel different users. High-quality content of interest is distributed accurately.

Four data assets allow ads to find users more accurately

As an information flow advertising product, massive user data is the primary basis for achieving personalized distribution. With years of experience in commercial promotion and accumulation of big data, Baidu's information flow advertisements rely on four major data assets, including search data, geographic location data, knowledge map data, and transaction data, so that native ads can reach target users more intelligently and accurately.

In terms of search data, Baidu's information flow ads can help advertisers quickly find subdivided users and accurately push advertising information by analyzing users' short-term search behavior, long-term search history, multi-mode user interaction, and browsing data. According to the geographic location data, Baidu's information stream advertising can open up the user's Baidu map location data, Baidu map history visit data, etc., and achieve accurate push for the user's local area information. The knowledge map data can provide more three-dimensional user portrait tags based on the structured knowledge big data of users in Baidu Encyclopedia, Baidu, and other platforms. The glutinous rice transaction data and partner transaction data provide the basis for accurately finding the subdivided population from the user's past transactional big data.

Five technical capabilities to escort accurate advertising

Baidu, which has been known for its expertise in technology, has also devoted a lot of effort to information advertising. According to reports, Baidu's information flow ads have five technical supports: traffic distribution, intent engine, machine learning, smart creativity, and smart delivery. They can intelligently match data and meet the needs of advertisers at all levels. Based on the tens of billions of users' behavior data, Baidu's stream ads can help advertisers determine the user’s current intentions, and they can “find the right person at the right time” for the advertisement.

In the era of mobile internet, users' attention becomes scarce resources, and only by reaching the target users can they obtain greater commercial value. Based on Baidu's information flow of "Thousands of people are different from each other," Baidu's information flow advertisements have achieved accurate push of advertising information, allowing subdivided advertisements to find the target users more intelligently, and are being favored by more and more advertisers.

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