Intelligent Customer
Analytics in Action!
Creating a Customized User Bound Experience for your Customers
Today’s subscribers can interact with you in many ways, across multiple touch points, media and platforms. All these need to be taken into consideration in order to reveal important trends and patterns in subscriber behavior. This ability to gain a panoramic view of customer behavior allows your marketing, sales, and other customer-facing teams to make precise, data-driven decisions that cut down on guesswork and wasted resources.
Powered by hSenid Mobile, CUBE is a robust, intelligent Telco analytical platform that performs customer behavior analytics. CUBE scrutinizes customers and their behavior patterns individually to perform a precise segmentation, resulting in insightful profiles that could help Telcos reduce churn, increase ARPU and optimize internal operational efficiency. CUBE maps every touch point and every turn within customer behavior analytics.
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Features
In-depth Insights

Merchant Integration

Multi-dimensional
Segmentation

Data Integration through Inbound Channels


Micro Profiling

Predictive Model

Multi Channel Campaign Management

Unlimited Dynamic Parameter Definition
Our Approach

DATA AGGREGATION
CUBE has the flexibility to aggregate any type of data through any kind of inbound channel, covering the entire subscriber life cycle. CUBE also allows unlimited, dynamic parameter definition to perform effective data aggregation.
ANALYSIS & IDENTIFICATION
CUBE analysis of data provides an in-depth insight into customer behavior. The prediction model has the latest machine learning and sampling techniques allowing Telcos to forecast tendencies to take immediate action.
EXHAUSTIVE SEGMENTATION & MICRO PROFILING
CUBE offers Telcos 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 a customer’s value cycle through a set of executable actions, such as contextual marketing, churn management, and optimization of internal operational efficiencies.