After V5 connects media data with enterprise conversion data, the display, click, consumption, average ranking, CPC, CPM, and click-through rate data of major search media are presented intuitively . The optimization team no longer has to do the monotonous, repetitive, tedious and error-prone data splicing work every day! Say goodbye to inefficiency and boredom.
Cross-search engine and cross-account promotion activity management integrates the four major domestic search media, all keyword status, matching mode, quality (mobile/computer), as well as exhibition point sales, average ranking, bid of the day, CPM, CPC, click-through rate and other data under the account, plan and unit, allowing optimizers to get insights and take actions in one go, always one step faster than competitors!
The user permission and role management system based on optimizer roles (optimizer-optimization manager-administrator) and optimizer division of labor (responsible media accounts) allows the collaboration, sharing and management of the entire optimization team to be smooth.
Comparative analysis of data from any time period and hundreds of dimensions cannot be done manually with Excel.
Want to grab market share? OK! Specify target rankings for these ecuador phone number data keywords, and the system will automatically and do its best to help you get it.
Keep an eye on your competitors at all times.
Real-time, high-speed connection channels with the four major domestic search engines ensure that ranking optimization is fast and accurate.
Ensure optimal results
Jiuzhilan V5 SEM management and optimization platform uses artificial intelligence to build keyword bidding and revenue prediction models to manage bids, achieving more than 10% more business results with the same amount of advertising spend.
The distributed cloud computing platform ensures the calculation of 1 billion- level keyword models every day.
The machine identifies the regional characteristics of the delivery effect and calculates the regional delivery adjustment coefficient, which is used for bidding and price changes in different regions.
The machine identifies the time period characteristics of the delivery effect, calculates the time period delivery adjustment coefficient, and changes the price multiple times according to the time period.