This is another entry in our series unveiling something brand new for StatSocial — a mountain of B2B data married to our patented identity graph and audience intelligence platform Silhouette. All of this is ready to be leveraged across our key use cases (insights, attribution, and activation). This is an unprecedented opportunity for B2B marketers to analyze more than 40 million business people, including the companies they work for, industries they work in, and job titles, all cross-referenced against Silhouette’s industry-leading insights.
To demonstrate the power of B2B audience data inside of Silhouette, we’ve been posting these entries comparing the employees of tech giants Amazon, Apple, Google, and Microsoft. If you’d like to see similar insights on other B2B data-sets, please contact us.
The analysis below was completed by analyzing over 30K employees from each company. For this entry, we’re highlighting one of our most unique sets of insights, here considered through the B2B perspective — provided with a little help from IBM Watson™.
Our Personality Insights are powered by Watson‘s sophisticated AI. When analyzing an individual’s public online writings, Silhouette can infer — with extraordinary and widely-praised accuracy — what personality types dwell within an audience, and in what proportions.
In psychology, the Big 5 personality traits describe a popularly-employed taxonomy that breaks down human personalities into five, broad over-arching categories: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Our Personality Insights use this model, with each over-arching umbrella trait housing a number of more granular categories (for example, under Conscientiousness, you will find Cautiousness, Achievement-striving, Dutifulness, and more).
The below graphic regards the employees of these Big Tech titans through the lenses of 10 particular characteristics: Achievement-striving, Artistic Interests, Imagination, Intellect, Liberalism, Orderliness, Self-consciousness, Self-discipline, and Trust. We’ve ranked each group, from 1 to 4, indicating which, on average, is most, less, or least likely to exhibit each trait.
How StatSocial Works
When trying to convey the depth, breadth, and scale of StatSocial‘s Social Affinity and Earned Media data, we sum it up like this: Imagine an 85,000 question survey given out to 300 million consumers. Now, imagine this already incredible thing as a living, dynamic data set. This survey is being administered in real time, constantly, being continually refreshed to include all of the most up-to-date opinions, choices, affinities, and actions. Learn more here.
Marketers and media-sellers know that Earned Media and Influencer Marketing are valuable components of their campaigns. Attributing a definitive worth to either, however, has traditionally been elusive. As StatSocial’s analyses report of with what topics and influencers an audience’s members have been engaging, a marketer can now directly attribute website and offline conversions. The same metrics that marketers have long relied upon to quantify the value of a campaign’s Paid and Owned Media components, are now just as readily available for Earned Media. Learn more here.
StatSocial‘s vast and comprehensive taxonomy is accessible across every programmatic platform. Our partnership with Liveramp, and direct integrations with such leading platforms as Viant, Oracle Data Cloud, Eyeota, and Lotame, finds StatSocial‘s insights available everywhere you access audience data. We are also available, via our 24/7 online to get you the insights and audiences you need, when you need them. Learn more here.