HyperSense
Product Recommendation

Product Recommendation solution provides real-time and dynamic personalized recommendations to drive customer lifetime value, enhance product purchase-related customer experience and improve brand loyalty.

Challenges with traditional solutions

Lack of mechanisms to capture the right dataset and store them

Challenging for subscribers to find the best product in the market

Negative impact on the ARPU, revenue, and CLV

Higher churn due to bad brand experience

challenges

Benefits of Product Recommendation

Enhance Revenue

Get a 360-degree view of every subscriber and 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 these subscribers 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 and personalized recommendations. Send the right messages to the right users at the right time.

Improve Customer Experience

Improve the overall experience by allowing the subscriber to make the right choice easily and quickly through the recommendation model.

Make Accurate Decisions

Make actionable and informed business decisions for recommending product by identifying the most profitable avenues of the product.

Your Questions Answered
We’ve put together some FAQ's to give you more information about what we offer.

Product recommendations allow customers to find products they need and are relevant to them, quickly and easily. The personalized recommendations are according to each individual’s purchase behaviour and history. They are created in real-time to be the most accurate and relevant as possible. It enhances the user experience, customer engagement, and brand loyalty.

The challenges with traditional solutions are:
  • Lack of mechanisms to capture and store the suitable dataset.
  • 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.

Upselling is the practice of encouraging customers to purchase a comparable higher-end product, while cross-selling asks customers to buy complementary products. Though often used interchangeably, both offer distinct benefits.

Boost customer engagement and experience with Product Recommendation

Top