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.
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.
Earlier this year, Investible backed Singapore-based SoMin.ai, a deep-tech marketing technology that leverages machine learning to give marketers a better return on their advertising spend investment. The business is led by co-founders Aleksandr Farseev (CEO) and Kirill Lepikhin (CTO), a technical and incredibly savvy duo intimately familiar with the sector they have begun to disrupt.
Traditional marketing approaches are not cost-efficient. It can be difficult for marketers to correlate the money spent on a marketing campaign with revenue from sales (i.e. return on marketing spend). Currently, one way to measure and test advertising campaigns is iterative A/B testing through focus groups. With the introduction of machine learning and natural language processing, there are now ways to derive insights that reflect the wider market and not just select sample sizes. Big data algorithms now have the capability to scrape data from user-generated content (e.g. what consumers have liked on Instagram) and use it to create an intimate understanding of consumer behaviour.
SoMin.ai was selected as one of the 19 top Singapore Content Marketing Companies and Startups by Best Startup.
The article showcased their top picks for the best Singapore based Content Marketing companies. The startups and companies that were shortlisted were based on them taking a variety of approaches to innovate the Content Marketing industry.
Digital advertising is when we pay to place messages in front of consumers across digital channels such as search, social media, and websites.
Like traditional advertising, digital advertising is pay to play:
You spend money to have your ad creative placed in front of consumers.
Unlike traditional advertising, however, digital advertising is a game played at light speed:
Ad space is bought and sold in real-time in auctions regulated by sophisticated machine learning algorithms.
Advertisers have the power to target granular audience segments using rich data from ad platforms on demographics and behaviors.
Platforms like Google and Facebook continually place, adjust, boost, and penalize ads based on ad quality and engagement.
Digital advertising gives brands an unprecedented ability to target, reach, and convert prospects at scale.
But there's a big problem...