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WHOSAY, IBM Watson Partner To Use Predictive Personality Data In Influencer Campaigns

Influencer campaigns are a valuable tool for brands to reach consumers through an authentic, trusted voice. But how do you go about choosing the right influencer?

Brand affinity influencer matching platform WHOSAY is teaming up with IBM Watson™ to incorporate predictive personality characteristics data, and calculate and display influencer personal values and personality traits 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’s extensive insights into community values and personality traits will play an essential role ensuring the WHOSAY Match provides maximum value to marketers.”

Every influencer’s WHOSAY Match page now displays two new charts powered by IBM Watson, featuring unique Values and Personality charts showing the percentile scores for attributes such as Openness, Emotional range, Self-enhancement and many more. 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.

“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,” said 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.”

Here are some examples of live WHOSAY Match data:

Gal Gadot – Actress

Patrick Starr – Make-up artist, YouTuber 

Natalie Jill – Fitness Expert

Cameron Russell – Model, Activist

Sammy Wilk – Singer