product recommendation built on HyperSense
Build proactive and hyper-personalized recommendations at each subscriber level.
DISCOVER PRODUCT RECOMMENDATION
Product recommendation is built on Subex's next-generation Augmented Analytics platform - HyperSense. It provides real-time and dynamic personalized recommendations to drive customer lifetime value, enhance product purchase-related customer experience and improve brand loyalty.
Why HyperSense?
CHALLENGES WITH TRADITIONAL SOLUTIONS
Lack of mechanisms to capture the right dataset and store them.
Challenging for subscribers to find the best product.
Decision fatigue due to irrational purchases.
Higher subscriber churn due to bad brand experience.
Negative impact on the ARPU, overall revenue, and customer lifetime value.
PRODUCT RECOMMENDATION FEATURES
NEURAL NETWORK
Neural networks, with adaptive learning to derive meaning from complex datasets.
Increased visibility
Analyze subscriber behavior at a granular level, and drive product personalization at scale to improve engagement.
End-to-end integration
Integration with all HyperSense studios to generate real-time, accurate, and personalized recommendations for each subscriber.
Advanced AI/ML
State-of-the-art intelligence to simplify the entire buying experience in real-time, leading to increased product uptake and revenue.
See how product recommendation can help you
Enhance revenue
Get a 360-degree view of every subscriber, identify cross-selling and up-selling opportunities to drive sales and enhance revenue.
Reduce Churn Effectively
Identify subscribers with a high propensity to churn and target them with the best retention offer to ensure stickiness.
Real-time reporting
Allow your business to make accurate and informed decisions about adopting a product or a campaign through real-time and detailed reporting.
DRIVE SUBSCRIBER ENGAGEMENT
Drive engagement with real-time, dynamic, and personalized recommendations. Send the right messages to the right users at the right time.
Improve customer experience
Improve the overall purchase experience by allowing the subscriber to make the right choice easily and quickly through the recommendation model.
