Big data marketing is a marketing method based on large amounts of data from multiple platforms, relying on big data technology, and applied to the Internet advertising industry. The core of big data marketing is to allow online advertising to be delivered to the right people at the right time, through the right carrier, and in the right way.
Big data marketing is derived from and affects the Internet industry. Relying on multi-platform big data collection and the analysis and prediction capabilities of big data technology, advertising can be made more accurate and effective, bringing a higher return on investment to brand companies.
Characteristics of big data marketing
Multi-platform data collection: The data sources of big data are usually diversified. Multi-platform data collection can make the characterization of netizen behavior more comprehensive and accurate. precise. Multi-platform collection can include data from the Internet, mobile Internet, radio and television networks, smart TVs, and outdoor smart screens in the future.
Emphasis on timeliness: In the Internet age, the consumption behavior and purchasing methods of netizens can easily change in a short period of time. It is very important to carry out timely marketing when the needs of netizens are highest. AdTime, the world's leading big data marketing company, has proposed a time marketing strategy. It can fully understand the needs of netizens through technical means and respond to each netizen's current needs in a timely manner, allowing him to receive timely information during the "golden time" when he decides to purchase. to product advertising.
Personalized marketing: In the Internet era, advertisers’ marketing concepts have changed from “media-oriented” to “audience-oriented”. In the past, marketing activities must be media-oriented and choose media with high visibility and large number of views for placement. Nowadays, advertisers are completely audience-oriented in advertising and marketing, because big data technology allows them to know where the target audience is and what screen they are paying attention to. Big data technology can make the advertising content different when different users pay attention to the same interface of the same media. Big data marketing realizes personalized marketing for netizens.
High cost-effectiveness: Compared with traditional advertising where “half of the advertising money is wasted”, big data marketing allows advertisers to be targeted in their placements to the greatest extent, and can provide real-time effect feedback. Make timely adjustments to delivery strategies.
Relevance: An important feature of big data marketing is the correlation between the advertisements that netizens pay attention to. Since big data can quickly know the content that the target audience pays attention to during the collection process, and can also know the content that netizens pay attention to. This valuable information makes ad delivery more relevant than ever, no matter where you are. That is, the previous advertisement seen by netizens can have in-depth interaction with the next advertisement.
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