Data Analytics and Modeling Services :: Telecom

Solutions By Industry: Banking & Financial Services Insurance Telecom Retail & FMCG Healthcare & Pharma Travel & Hospitality

Case Studies: Customer Churn Analytics Demand Forecasting Insurance Analytics Medical Claims Analytics Credit Risk and Scoring Retail Analytics

Customer market share (CMS) and revenue market share (RMS), is currently driving the dynamics of the highly competitive telecom industry. With high pressure on profit margins and slower revenue growth, understanding customer behavior helps Telecom companies make offers that are personalized and attractive ensuring customer loyalty and retention. With new and enhances product and service launches, rigorous and continuous data analytics becomes critical to understand tariffs, product and service migrations, customer profitability and loyalty.

Market Equations offers customized Data Analytics and Modeling Solutions for the Telecom Industry to include Campaign Analytics and Response modeling, Cross-Sell strategies, optimizing credit lines through pricing strategies, identifying high risk customers though through Fraud risk management techniques and CRM strategies, enabling organizations increase market share and stay ahead of the competition. Our state of the art predictive models are customized and designed to help organizations retain customers, manage risk, minimize cost, increase revenue generation and maximize returns in a highly volatile and competitive Telecom space.

Acquisition Strategies: Customer acquisition has always been a challenging task for organizations in the highly competitive and fast growing Telecom industry. Customer acquisition strategies are playing a pivotal role in understanding customer behavior and targeted marketing techniques are taking centre stage in ensuring targeted customer acquisition and retention. Market Equations offers value driven campaign analytics and response modeling solutions to organizations in the Telecom sector that help them identify the right customers and discover ways to reach them most effectively in order to maximize conversion at an optimal cost.

Cross-sell: Market Equations enhances customer loyalty and retention by diving deep into customer historical data to identify behavioral patterns that help organizations make better and enhanced offers including better tariff plans and complimenting products based on need. Our Telecom Analysts work with our Analytics and Modeling teams to provide results oriented solutions that enhance customer loyalty by identifying that best combination of products and services that align best with the customers’ needs. Our strategies help you minimize acquisition budgets, increase revenues and maximize returns from the existing customer base.

Pricing Strategies: High Competitiveness and industry growth undoubtedly brings in price competition. Market Equations helps organizations minimize risk exposure while maximizing customer satisfaction by optimizing your credit lines by understanding your credit risk and financial strength. Our results driven predictive models provide pricing strategies based on future usage patterns of customer.

Fraud Risk Management: Market Equations offer Risk Management solutions to organizations that help identify customers with varying levels of risk. Our Telecom Analytics and Modeling solutions cover the application of trend analysis to identify the variety of frauds that can be contained as well as devising rules and policies to curb repetition of identified fraud.

Application Scorecard: Identify the potential fraud / bad-debt customer’s right from the application stage. Based on the results we can apply screening strategies for further action.

Collection scorecard: Predict the propensity of existing customers to pay in the future. Employ behavior based collection strategies to optimize collection efforts and reduce costs.

Recovery Scorecard: From the delinquent customer base identify customer segments that have high propensity to pay and clear dues. Targeted recovery efforts on these customers maximize recovery and minimize cost.

Customer Relationship Management: Use Customer Analytics techniques to identify profitable and loyal customers and retain this customer base by offering attractive plans, complimenting products and better customer service.