The 3V definition of big data is "a huge amount of data is a large amount of (Volume), high speed (Velocity), and diverse (Variety) information assets."
According to this principle, CLICKFORCE stores a large amount of diverse first-party, second-party and third-party data, and uses artificial intelligence calculations and analysis to transform the huge data into effective assets in real time.
According to many years of data research conducted by CLICKFORCE professional team.
Divide the browsing behavior of Taiwanese users into following categories:
The corresponding data is very fragmented and scattered. Therefore, when advertisers use their own resources to perform data marketing, usually due to the characteristics of data fragmentation. There will be an "information fog" between expectations and actual results and cause a gap of effectiveness.
In order to clarify this “information fog”, CLICKFORCE uses network data, advertising data, telecommunication data, consumption data, public data, etc. to form hybrid data, expands the collection of user data, and avoids data fragmentation. At the same time, it uses HADOOP and SPARK's MAP- REDUCE technology collect, aggregate and analyze massive amounts of data in a timely and efficient manner.
Finally, through AI calculations, these timely data are used to establish intelligent optimization logic for advertising, conduct systematic analysis and forecast, and draw a clearer marketing map.
【Precision Marketing】:
Through the introduction of AI technology, CLICKFORCE’s advertising system can accurately predict consumers, calculating more than 100 million records per day to customize and accurately match each order to interested consumers to click on ads.
【Excellent Achievement】:
Advertisers only need to provide the campaign schedule and budget, and the AI system can start to optimize the next day after the ad is executed, and the current effect is already 2 to 3 times that of manual operations.
【Create CDP Data】:
In the future, after importing the advertiser's data into the AI system, it will be able to complete the fully automated marketing strategy formulation and give marketing suggestions before the ad is executed. In the end, it can not only recommend advertisements for advertiser but fulfill their marketing needs!
For example, when assisting real estate customers to find similar audiences, we provided TA suggestions and executed remarketing strategy, and then diverted different TA to specific addresses and websites. Also, we aimed at high-consumption groups or Consumers of certain key projects, using comprehensive online and offline data tags to collect real TAs and produce better advertising effects. Successfully gained the approval of most real estate and construction advertisers.