Targeting users through social analysis and insights
Unilever Clear & MET Fashion Gala – use cases for Beauty Influencers & Clothes DesignersThese cases are two examples of how to use AI to create more engaging and interactive experiences for customers. Social media data is analyzed to identify personality insights. Users are then presented with beauty influencers or clothing designers that match their preferences based on these insights. You can use this information to create personalized recommendations for customers. For example, you can match them with each other for dating, HR, or cultural activities, or suggest products and fashion designers that match their preferences.
In addition, AI-based customer segmentation offers a more detailed view of customer preferences compared to traditional methods. With this granular understanding of customer needs and preferences, brands can create more effective marketing campaigns. They can also optimize their sales channels, and drive better customer engagement and loyalty.
2016 NextUser YouTube video, IBM Watson MET Gala project
2016 NextUser YouTube, Unilever Clear with IBM Watson & NextUser
How does Social Media offer a rich layer of data to understand your clients?
Social media provides a wealth of data that brands can use to understand their customers better. With NextUser’s help to analyze customer behavior on social media, brands can gain insights into their preferences, habits, and interests, enabling them to create personalized marketing campaigns that target customers more effectively. One of the most significant advantages of using social media data is the ability to identify look-alike audiences. These audiences are people who share similar interests and characteristics with your current customers. Therefore, they are likely to be interested in your brand’s products or services. Identifying these look-alike audiences enables brands to target new customers more effectively, optimize their acquisition campaigns, and increase their customer base.
Consumers’ attributes (disc insights and personnality insights) featuring identity attributes, shopping habits and voice of the consumer
Richard Branson’s personnality analysis features various criterii such as Costa & Norman and Kotler & Ford analysis
How did it all start?NextUser’s journey with AI began over 6 years ago. IBM Watson selected the company among 2,000 startups to showcase the future of AI. In fact he initial prototype was designed to compare 1,500 writers based on their quotes. To interpret the 52 trait percentage values, NextUser partnered with Narrative Science. With them, we created sentences according to the percentile provided by the API. Since then, NextUser has continued to innovate. We have developed new AI-based technologies for customer segmentation and targeting. NextUser has partnered with leading brands in the retail and fashion industry. We provided them with cutting-edge tools to create more effective marketing campaigns. Here is a preview video below and the demo is still available at Alibris: http://www.alibris.com/author-personalities.
2014 NextUser YouTube video, Trailer NextUser with IBM Watson for Richard Branson
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