NEW YORK–WHOSAY, developer of WHOSAY Match, the leading brand affinity influencer matching platform and app for marketers, today announced integration of IBM Watson™ predictive personality characteristics data. WHOSAY Match now analyzes millions of posts across all social platforms and leverages the IBM Watson™ AI and machine learning to calculate and display Influencer personal values and personality traits for to assist in matching Influencers to brands.
“Finding the perfect Influencer for a branded collaboration requires unique first-party data, and extensive third-party insights to understand both the brand and consumer communities,” said WHOSAY CEO Steve Ellis. “IBM Watson™ extensive insights into community values and personality traits will play an essential role ensuring the WHOSAY Match provides maximum value to marketers.”
Each Influencer's WHOSAY Match page now displays two new charts powered by IBM Watson™. The unique Values and Personality charts show the percentile scores for attributes such as Openness, Emotional range, Self-enhancement and many more. These scores indicate how much higher or lower the individual Influencer compares to similar sample populations.
Influencer Values and Personality charts are amongst the most innovative tools for marketers to identify the best Influencers for a given brand campaign. By predicting personality characteristics, needs and values through written text, the marketer can understand the Influencer’s habits and preferences on an individual level and at scale.
Here are examples of live WHOSAY Match data:
Patrick Starr – Make-up artist, YouTuber https://whosay.me/HaCOUJ
Natalie Jill – Fitness Expert https://whosay.me/XLnMyv
Cameron Russell – Model, activist https://whosay.me/nhcySp
Sammy Wilk – Singer https://whosay.me/kFrpGB
Christina Tosi – Chef https://whosay.me/cmxesk
Gal Gadot – Actress https://whosay.me/iBaoYJ
Gabby Bernstein – Motivational speaker, author https://whosay.me/KfSyHD
“The WHOSAY Match data can help marketers conceptualize consumption preferences by looking at an Influencer’s inclination to pursue different products, services, and activities, including shopping, music, movies, and more,” says Michael Holtzman, WHOSAY CTO. “This can then help tailor the Influencer marketing content experience to individual customers for segmentation, personalized product recommendations, and highly targeted messaging.”
This leading IBM Watson™ influencer marketing integration follows last month’s debut of WHOSAY Match’s sponsored posts filter, a new feature that allows users to filter an Influencer’s feed by branded posts, offering an aggregated feed of the most recent and relevant Influencer marketing campaigns, including those of competitors, with analytics captured and updated in real-time.
Founded in 2010, WHOSAY is the largest and most trusted influence marketer in the world powering marketing campaigns for brands across all verticals, utilizing every level of Celebrity and Influencer, and delivering measurably superior results to other mobile and social advertising. WHOSAY is built from the best of entertainment, technology and advertising with investment from Amazon, Comcast Ventures, CAA, Greylock and Tencent. For more information visit www.whosay.com.
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