In the age of convergence, customer churn is a concern for service providers, challenging most retention techniques…
Help service providers understand their customers to serve them better, thus Analytics is a step ahead of business intelligence (BI). It helps organizations know their customers and be able to customize their business models; products and services based on their anticipated needs. Using a combination of real time data related to call usage , service usage, location usage and such other parameters operators today are in the need of analytical solutions that can help them enhance their quality of services to ultimately increase customer satisfaction.
Analytics can help with forecasts on customer behaviour, the purchase rate of a specific product or service at a certain tariff, the response rate to various offers, likelihood of repeat purchases thus virtually providing insights from the available and not so available information to ensure marketing spend and sales focus are channelled effectively for better customer management and enhanced value creation.
With the continuous emphasis on ARPU (Average revenue Per User) operators today are in the quest for alternative sources of revenue. Targeted ” personalised advertising” is one such area that provides for enhanced revenue it is here that analytics can help in providing strategic insight to which consumer is to be fed whit context – specific information resulting in a significant hit rate (ratio).
In the age of convergence, customer churn is a concern for service providers, challenging most retention techniques. Analytics helps understand attrition, provides customer churn taxonomy to enable businesses recoup their investments to leverage customer loyalty, through enhanced experiences and effective marketing campaigns around products & services.
Analytics helps businesses as an enabler for better understanding and insights on customer data to draw objectives and articulate strategies for customer relationship management. Data warehousing and analytics together help aggregate information to optimize network performance, collections, minimize revenue leakage; enhance customer profiling, increase retention and loyalty of profitable customers.
With growing importance of scalable systems integration in the ever complicated service delivery environments, iQG offers solutions of data optimization to service providers, helping them with challenges of strategies to address requirements of mobile data services. These solutions help with concepts based on coding and caching algorithms for critical mobile traffic demands, which are beyond speeds and feeds, dimensioning factors of capacity, performance and purpose.