Human personality traits are the key drivers behind our decision-making, influencing our life path on a daily basis. Inference of personality traits, such as Myers-Briggs Personality Type, as well as an understanding of dependencies between personality traits and users' behavior on various social media platforms is of crucial importance to modern research and industry applications. The emergence of diverse and cross-purpose social media avenues makes it possible to perform user personality profiling automatically and efficiently based on data represented across multiple data modalities. However, the research efforts on personality profiling from multi-source multi-modal social media data are relatively sparse, and the level of impact of different social network data on machine learning performance has yet to be comprehensively evaluated.
In this technical demonstration, we showcase the World's first personality-driven marketing content generation platform, called SoMin. ai. The platform combines deep multi-view personality profiling framework and style generative adversarial networks facilitating the automatic creation of content that appeals to different human personality types. The platform can be used for enhancement of the social networking user experience as well as for content marketing routines. Guided by the MBTI personality type, automatically derived from a user social network content, SoMin. ai generates new social media content based on the preferences of other users with a similar personality type aiming at enhancing the user experience on social networking venues as well diversifying the efforts of marketers when crafting new content for digital marketing campaigns.
Lenta has completed piloting a Singapore startup to set up targeted advertising, the company's press service reports.
Lenta's digital marketing service, with the support of the company's Innovation Center, tested the project on an Instagram advertising platform for a month. The artificial intelligence platform processed data from social networks and determined user preferences.
As a result, the effectiveness of targeted advertising has increased 2.5 times compared to using classic tools for launching advertising campaigns. It was originally planned that this figure will grow by 20%.
“During testing, we paid attention not only to the cost per click, but also to the bounce rate. Quality traffic is important to us. The startup really identified users for whom our advertising was relevant, ”said Boris Evdokimov, head of Lenta's digital marketing department.
Thanks to the use of artificial intelligence, the company will be able to halve the costs of launching advertising campaigns on Instagram and increase the number of conversions in stores by 37%.
Earlier it was reported that "Lenta" opened a large distribution center in the Leningrad region. Online sales of Lenta grew 6.5 times in Q3 2020.
Getting leads for credit card and personal loan applications in the banking industry has always been an ordeal. So when we applied our technology to Citibank’s products and saw a 40% uplift in sales we got really excited. There’s no greater satisfaction than seeing your products solve persistent industry problems.
Even better when the clients and their partners talk about you because of the proven result.