In the era of digital marketing, consumers’ initiative awareness is on the rise, and marketing methods are varied, but the only way to successfully break into TA’s heart is to "accurately and quickly understand consumer interests and behaviors." Therefore, CLICKFORCE is committed to the development of "data" and applies technology to the marketing field. It is the first to propose the GAPA, G (Gather), A (Analysis), P (Prediction), A (Apply) four data application cycles, through this Circulation, advertisers can truly and effectively control consumers.
However, we are now facing these issues in the post-epidemic era and the third-party cookie tracking that advertisers are very concerned about. In addition to our previous article on "How should advertisers face "digital transformation" after the epidemic?", many people asked about that will the data analysis and marketing tools are affected?
Please keep track and deploy ahead of time:
1. The establishment of the client's database:
The collection and analysis of first-party data are particularly important, and the integration and analysis of user behavior information on its channels is a top priority. Through data integration and analysis, it becomes a usable labeling behavior to discover the value of consumers. Therefore, CLICKFORCE supports the client to import DMP services, from general user site behavior analysis, extending popular discussion topics, keyword analysis, automated crowd behavior classification tags, advertising effectiveness, etc., to enhance the value of the media and create more accurate digital advertising environment.
2. Accurate analysis of media channels:
An in-depth understanding of the media playing environment, the content of the discussion, the behavior of users, etc. will be important reference decision indicators for future advertisers to deliver advertisements, and will help improve the accuracy of advertising and enhance the value of media. CLICKFORCE supports the media to import data analysis tools to assist the media in analyzing user behavior and viewing content and produce various behavior tags. In addition to accurate content analysis, it can also analyze crowd interests and preferences.
3. Cross-screen integration
Combined with MULTIFORCE's multi-screen advertising network services including mobile phones, desktops, tablets, IPTV, external media, etc. It reflects different consumer behavior trends and supports advertisers to choose suitable communication through a precise targeting methods environment to serve ads.
4. Multivariate Hybrid Data
In addition to the analysis of online behavior and interest data in 2020, CLICKFORCE will also import online and offline behavior data of telecommunications data, as well as user activity line data in the media field outside the home, supplemented by e-commerce and invoice data. Consumer behavior data, through diversified data applications, create a more complete consumer behavior database.
Understanding consumers' dynamics and preferences through data, understanding consumer behavior, and extending a full range of marketing strategies form the basis of data are currently very important marketing strategy deployments.