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Pelatro

Pelatro provides marketing software to Telecom industry. They have a product name ‘mViva’ which offers Contextual marketing solutions, Loyalty management solutions, Intelligent notification manager and Emergency credit solutions.

5 Biggest Challenges Telecom Companies Face

For decades, telecom companies have easily survived with their simple business model, where their major challenge was building the biggest network. As long as the network...

Top 5 Advantages of Precision Marketing Solution in Telecom

The rules in telecom industry no longer remain the same. With the number of unique mobile subscribers having passed 5 billion people in 2017, and set to reach 71% of the world’s population..

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Advantages of Big Data Analytics in the competitive Telecom

Big data analytics has made a splash in the telecom sector and is here to stay. Aside from boosting ARPU numbers, operators have turned to analytics to address various problems the market is rife with. These lie within three broad categories – incre

Customer Centricity – Telecom’s Holy Grail

A report said, “Though adoption was initially driven by the younger generations, the use of mobile is not restricted to the young—there’s a new demographic that’s leading the charge now. Consumers age 55 and older in the United States.

Measuring performance impact of a campaign management system

If you’re thinking of implementing a campaign management system for your network, the ultimate goal is to increase Average Revenue per Unit rate of the network. A campaign management system allows you to micro-segment, gain insights, send concurrent

Machine Learning Techniques can help Telecom Companies Targe

Technology transformation has made almost everything possible. From accurately predicting weather to pin-pointing a single customer’s preference at any given point of time. Network operators are reaping benefits such as improvement in targeting

Changing Telecom Market & Need for Customer Micro-segmentat

Telecom companies are constantly gathering different kinds of data on their current and potential customers in order to profile them. They collect data on their customers’ age, gender, lifestyle, preferences, daily network usage, habits, and tastes.