Personal Brand Presence | 6 / 10 |
Authoritativeness | 6 / 10 |
Expertise | 8 / 10 |
Influence | 6 / 10 |
Overall Rating | 6 / 10 |
Hearsay Systems was founded and is led by Clara Shih, whose predictive analytics platform enables salespeople to connect with customers at the appropriate moment and with the appropriate message while adhering to industry laws. Pioneering the social media space, Clara wrote the New York Times best-selling book The Facebook Era and created the first social business application in 2007. The Social Business Imperative: Adapting Your Business Model to the Always-Connected Customer, her most recent book, was published in April of 2016.
Clara has received recognition as one of BusinessWeek’s “Top Young Entrepreneurs,” Fast Company’s “Most Influential People in Technology,” Fortune’s “Most Powerful Women Entrepreneurs,” and Ad Age’s “40 Under 40.” She was also named one of ThinkAdvisor’s 2015 IA 35 for 35’s “5 to Watch,” InvestmentNews’ “40 under 40,” and the World Economic Forum’s “Young Global Leader.” Clara formerly had a number of technical, product, and marketing positions at Google, Microsoft, and Salesforce.com. She is also a member of the Starbucks board of directors. She earned an MS in computer science and a #1 degree in computer science from Stanford University. She was a U.S. Marshall Scholar at Oxford University, where she also earned an MS in internet studies.
Financial advisers may now manage and select compliant digital material to publish on social media with Hearsay Systems’ new capability. Hearsay’s new information+ module searches the internet for information and gathers it into categories based on themes like “sports,” “retirement planning,” and “529s.” A company or adviser may automatically create an infinite number of collections by defining characteristics and themes that are significant to the business, such as compliance regulations, regions, and hierarchies.
incorporated into Content+ is an artificial intelligence engine that generates personalized suggestions for each user based on user interests, audience interaction, and popular content. material+ offers advisers new material to share on social media based on prior performance, much like Netflix does with show recommendations based on audience preferences.
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