Analytics in Action!
Creating a Customized User Bound Experience for your Customers
Subscribers today can interact with you in many ways, across multiple touch points, media and platforms. So it’s vital for you to connect the dots to reveal impactful trends and patterns in subscribers’ behavior. This ability to gain a panoramic view of the customer behavior analytics allows your marketing, sales, and other customer-facing functions to make more precise, data-driven decisions that cut down on guesswork and wasted resources.
Powered by hSenid Mobile, CUBE is a robust Intelligent Telco Analytical platform to perform customer behavior analytics; CUBE analyzes customers and their behavioral patterns individually to perform a precise segmentation, resulting in insightful profiles that could help Telcos to reduce churn, increase ARPU and optimize internal operational efficiency. Checkout Unsecuredloans4u.uk. Basically, CUBE maps every touch point and every turn within the unique journey of your customer behavior analytics.
Data Integration through inbound channels
Multi Channel Campaign Management
Unlimited Dynamic Parameter Definition
CUBE has the flexibility to aggregate any type of data through any kind of inbound channel covering the entire subscriber lifecycle. Also CUBE allows unlimited dynamic parameter definition to perform effective Data Aggregation.
ANALYSIS & IDENTIFICATION
CUBE analyzes data resulting In-depth insights of customer behavior. Prediction model has latest machine learning & sampling techniques allowing Telcos to forecast prospective tendencies to take immediate actions.
EXHAUSTIVE SEGMENTATION & MICRO PROFILING
CUBE facilitates telco with Unlimited Built in Segmentation Rules and Infinite Readily Executable Segmentation Criteria to perform exhaustive multi-dimensional micro segmentation to arrive at precise customer behavior analytics.
EXECUTION OF ACTIONS
CUBE helps telcos to reach the pinnacle of the customers’ value cycle by offering set of executable actions in the form of contextual marketing, churn management, optimization of internal operational efficiencies etc.