Advertisement putting method and system based on real-time prediction ROI

Abstract

The invention discloses an advertisement putting decision-making method and system based on a real-time prediction ROI, and belongs to the technical field of advertisement putting in the field of mobile internet. In order to solve the problems that in the prior art, advertisement presentation mode data are not obtained in time, the obtained data cannot support a delivery decision, and the return on investment of an advertisement presentation mode is not clear, the invention provides a method, the user quality obtained by current advertisement delivery is quickly mastered through adoption of an income backward deduction and income prediction method, the calculation of historical user-level advertisement income and ROI is realized by utilizing advertisement dotting event data in a product application, purchase consumption data of an advertisement putting platform, income data of an advertisement realization platform and display data of an aggregation platform; meanwhile, the real-time buying amount data and the advertisement dotting event data in the application on the same day are utilized to predict the real-time income and the investment return rate of the newly-added users on the same day, and intelligent advertisement putting is achieved.

Description

technical field [0001] The present invention relates to the technical field of advertisement delivery in the field of mobile Internet, and more specifically, relates to a method and system for decision-making of advertisement delivery based on real-time predicted ROI. Background technique [0002] IAA (In-App Advertisement), the advertising monetization model, refers to the monetization model that uses the advertisements connected to the advertising monetization platform in the product to make profits after getting users through the advertising platform. The difference between advertising monetization and the traditional in-app purchase model is that after attracting users to apps such as games, IAA earns revenue by displaying advertisements to users instead of directly asking users to pay for products or services. [0003] For mobile apps that monetize IAA advertisements, during the process of placing advertisements, the placement personnel need to purchase volumes of the o...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the problems existing in the prior art that the data of the advertising monetization mode is not acquired in time, the acquired data cannot support the placement decision, and the return on investment of the advertising monetization mode is not clear, the present invention provides an advertisement placement method and system based on real-time ROI prediction , to carry out revenue inversion and real-time forecasting, use the in-app advertising management event data of the product, get through the purchase consumption data of the advertising platform, the revenue data of the advertising monetization platform and the display data of the advertising aggregation platform, and realize the calculation of historical advertising revenue and ROI; at the same time, use Real-time purchase data and in-app advertising management event data, calculate the real-time income and return on investment of new users on the day, and realize intelligent advertising

Images