Lead Scoring and Allocation

For the sales use case, BitNudge recommendation engine powers the lead management module. Scoring and allocation of leads to a best-fit sales rep is performed through the inbuilt recommendation engine of the platform.

User-specific recommendations

User-specific recommendations

• Prospects / Customers to pursue: Specifically in sales, BiNudge can recommend sales reps which lead or prospect they should focus on a given day to maximize conversions and minimize churn. Additionally, BitNudge can recommend the next best action to take based on a guided sales process.
• Frontline analytics: For managers, BitNudge recommendation engine can also highlight the frontline users that require special attention and focus as managers try to acheive their goals.
• Performance aspiration: The platform nudges users to aspire for various objectives (e.g., becoming a top decile user, or qualifying for incentives). The recommendation engine is powered by predictive analytics and rule based engines which make specific, customized suggestions to users based on their past performance track record and performance in the current period.

User Engagement

The broader purpose of the recommendation engine within BitNudge is to drive employee engagement. By making suggestions for possible aspirations / objectives that users can choose from, BitNudge enables users to set their own aspirations and self-defined goals and making them engaged in the process.

BitNudge key mantra

There is no better engagement or performance management model than one that drives users towards self-management