Advertisement promotion method combined with advertiser effect feedbacks

Abstract

The invention discloses an advertising promotion method combined with advertiser effect feedback, the method comprising: dividing accurate users and other users from all users who are pushed advertisements according to the advertising effect fed back by the advertiser; taking the set of accurate users as positive User samples, using the collection of other users as negative user samples, extract user features from positive user samples and negative user samples, and process the extracted user features to obtain a prediction model; for unknown users, extract their user features and substitute into Prediction model to obtain the probability of the unknown user becoming an accurate user; push advertisements to unknown users whose probability of becoming an accurate user reaches a predetermined value, and do not push advertisements to unknown users whose probability of becoming an accurate user does not reach the predetermined value . The present invention can improve the cost-effectiveness of advertising, and improve the promotion efficiency of the entire advertising platform.

Description

technical field [0001] The invention relates to the technical field of advertising promotion, in particular to an advertising promotion method combined with advertiser effect feedback. Background technique [0002] Online advertising has become the mainstream form of the advertising industry. According to the effect, online advertisement can be divided into brand display advertisement and effect-based billing advertisement. Among them, the purpose of brand display advertising is to let target users gain brand awareness through display exposure, such as traditional TV advertisements, video placement ads are all this type of advertisement; the purpose of performance-based billing advertising is to let target users recognize the brand through display exposure And generate operational behavior to obtain income, such as user clicks. [0003] Correspondingly, the current mainstream technical solutions for online advertising include user orientation, keyword matching or a combina...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of advertising is to help advertisers acquire users. However, the disadvantage of the above two advertising methods is that they cannot accurately acquire users.

There are two reasons for this: First, advertisers cannot define precise users. Whether it is user targeting or keyword matching, it is more based on prior experience and knowledge. For advertisers, this is very dependent on advertising operations The quality and experience of personnel; secondly, the online advertising platform cannot define accurate users, and the online advertising platform can approximately define accurate users through page stay time, user clicks and other behaviors, but there is still a deviation from the actual accurate users

Images