Part 1. Anti-Plagiarism Decision in Advertising Campaigns

Task:

Automation and optimization the effectiveness of back-end processes in digital marketing (online advertising).

Decision:

Application of algorithm of machine training allows:

Effectively counter unwanted advertising campaigns (i.e blocking "false clicks" in banner advertising)

Analysis of similar images allows you not to show the same banners on one page.

 

Part 2. Optimizing Advertising Targeting

 

 

Results:

The developed accuracy of determining such images is 97%

Reduction of costs and time up to 90%

 

Additional functions:

The algorithm allows you to select the best advertisements based on user behavior

Analysis of advertising sites allows you to put tags that define objects, scenes, people and even their actions

This gives you the ability to show your users more suitable advertising by getting the best conversion

Analyzing similar images allows you not to display the same banners on one page.