Insights and Analytics
Gaining a deeper understanding of your employees, including insights into what drives their behavior and what they are likely to do next, is at the heart of any effective employee referral & advocacy program.
Personalization Through AI
Employee referral and advocacy programs are about creating relationships, but without robust analytical data, it’s impossible to know which activities or rewards are actually fostering those relationships. We utilize Machine Learning Attribution Modeling, a system that gathers historical data from your engagement efforts to create rules. These rules assign an accurate weight, or conversion credit, to each of your program’s touch points allowing you to analyze your data quickly, accurately, and efficiently.
Robust Tracking Technology
A program needs data for AI/Machine Learning systems to work, and Social Bits, via NextBee’s core platform, has perhaps the most robust tracking technology on the market. No matter where the activity occurs – offline, online, and even through phones it can all be tracked by our system.
Flexible & Automated Employee Engagement
Social Bits has the AI and Machine Learning system to automatically promote involvement, interaction and build connections by spotting trends and making engagement adjustments that are guided by the flexible rules admins have set in our easy to use and robust admin dashboard.
A Data Science Process That Drives employee Engagement
Capture all the analytical data your company will need from social shares to emails to completed referrals and a whole lot more. Once this is done we run all this rich data through a three-stage process for a complete picture of the employee journey.
Boost Government Agency Employee Referrals & Advocacy
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