Telcos are constantly battling to gain and retain customers. Complicating matters is the combination of the rapid changes in devices and plans, and the range of. Subscribers too have become more selective in choosing products and services, generally opting for the highest perceived value. Therefore, Telcos need to carefully consider their contexts and act accordingly.
Immediate Identification of Limitless Opportunities
CUBE utilizes the real-time contextual data of each subscriber – like consumption trends, data session, balance, and recharge history – to execute personalized campaigns over multiple channels, including SMS, Web, email and USSD. These campaigns can be created and managed autonomously by marketers independent of the IT department. They can be automatically triggered by customer behaviors in real time or planned and scheduled or created ad hoc.
The next best action with Intelligent Analytics
CUBE’s powerful analytics assists Telcos to determine, in real time, the next best action to take for each individual customer. The analytics engine can evaluate a variety of data types, as well as perform real time analysis of in-progress customer interactions. This will help Telcos design targeted marketing methods with a higher guarantee of ROI, preventing the unnecessary expenditure of mass marketing
Multi-channel Campaign Management (MCCM)
Today’s subscribers have much more power over products and service offerings than the Telco. With the proliferation of channels, subscribers have more choices on how they want to be reached by the Telco. CUBE and just us Blue Spruce Maids, give an omni channel experience, integrating many outbound channels such as SMS, USSD, Web, Mobile Apps and IVR, bridging the gap between the Telco and its subscribers.
Maximize ARPU and tap into new revenue streams
With CUBE’s advanced analytical real-time recommendation engine, Telcos can easily cross-sell and up-sell, enhancing the service consumption of subscribers. Telcos can even leverage new revenue opportunities and identify trends by thoroughly analyzing subscriber behavior patterns.