CASE STUDY

Telecom Provider Improves Revenue by Using Big Data Analytics to Create Custom Price Based Offers

Sep 22, 2016

Business Challenge

Implementation of a robust pricing analytics solution.

A leading telecom provider in the US wanted to implement a robust pricing intelligence solution that could leverage the strength of its vast customer data.

Situation: Need to develop new offers and plans based on customer data.

The client wanted to understand the call and data usage to analyze pricing mechanisms for existing and new customers. They wanted to utilize this analysis for creating new offers and plans.

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Solution

Big data analytics based pricing model.

We integrated call data records with unstructured data (such as log files, data from IVR, calls, clickstreams and text from e-mails). We analyzed the call and data usage behavior, designed segmentation metrics and used these insights for developing a big data analytics based pricing model capable of creating new personalized offers.

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Impact

Increased revenue through big data based pricing analytics solution.

Our solutions helped the client gain actionable insights through analysis of the call and data usage. We helped the client in tracking relevant pricing issues and provided more accurate, personalized offer recommendations for new and existing clients. This helped in identifying cross-sell and up-sell opportunities and thereby improving the revenue.

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