After a company designs an advertisement, typically the same advertisement goes to all the viewers, even though they are obviously diverse in taste and preferences. Must it be this way? AdGreetz, an advertising company in Los Angeles, uses machine learning to quickly and automatically create thousands or even millions of personalized advertisements. This is done with three interlinked systems. Ad Chemist facilitates the production of creative content and the segmentation of potential customers. Ad Multiplier generates thousands of different versions for each ad. This is achieved by using a few templates and AI powered by rich data, including consumers’ buying habits, location, and demographic attributes. Accordingly, different versions of ads may be very diverse, such as in color, voice and language. Ad Runner uploads them in potentially 22 digital media outlets, such as Instagram, Facebook, and Snapchat. AI is also employed to optimize the engagement and tracking of these ads. These three systems form AdCef, a software as a service platform that automates the development and distribution of ads. Because of the high level of personalization, the company has achieved desirable results, such as Facebook click-through rate five times above average.
Link: website
Contact: hello@adgreetz.com
Location: California, US
Purpose
To improve the effectiveness of advertisements
Idea
Use artificial intelligence and rich data of customers to customize ads on a large scale
Further Possibilities
1. Build an open-source platform/standard for advertisement customization/automation
2. Have customized variations of the same video in Youtube
3. Have customized versions of the same movie
4. Have customized version of the same news
5. Have a service that warns people when their personal data are used
Questions
1. What might be all the things that should be personalized?
2. How might AI further help people make purchase decisions?
3. How to avoid being controlled by advertisements powered by AI tools?
