MobiLytix™ Churn Prediction

PREDICTING RISKY CUSTOMERS

EFFECTIVELY MANAGING CHURN THROUGH AN ENHANCED RETENTION RATE THROUGHOUT THE CUSTOMER’S LIFECYCLE

Mahindra Comviva’s MobiLytix™ Churn Prediction engine uses sophisticated predictive analytical modeling that aggregates subscriber usage data from multiple sources.

PREDICTING SUBSCRIBERS WITH THE PROPENSITY TO CHURN

Rapidly falling ARPUs owing to customer churn is perhaps the biggest challenge before a telecom operator today. Mahindra Comviva’s MobiLytix™ Churn Prediction engine aggregates subscriber usage data from transactional call data records, recharge records, billing systems and VAS service usage records. This helps in micro-segmenting customers based on transactional and usage characteristics on the network.

The information is then leveraged by the engine to ensure management of customer churn. This is achieved by proactively identifying customers who are most likely to churn so that the operator’s business team can target these customers with highly relevant promotions; thus optimizing usage and enhancing revenues per customer.

KEY DIFFERENTIATORS

Predicts, calculates and analyses customer churn rate, so as to take preventive actions

Helps in analyzing the marketing budget for each predicted segment

Recognizes the most valuable customers

Enables operators to focus on retention, rather than acquisition

WHY MAHINDRA COMVIVA ?

Year on year, every year, Mahindra Comviva has been recognized for excellence and innovation by some of the top agencies in the business; a feat that stands as a testament to our domain knowledge, business approach and technological excellence.

  • Over 15 years of industry expertise
  • Deep experience of delivering solutions to 110 MNOs in 90 countries
  • Flexible business rules and models
  • Expertise in business analytics and processes
  • Brings essential tools, people and processes to the table to support the implementation and day to- day management of operations
  • Deep understanding of the telecoms environment and customer behaviour
Mahindra Comviva serving 90 countries across the world
  • 2016
    • TMCnet Tech Culture Awards 2016
    • Smart Card & Payments Awards 2016
    • GTB Innovation Awards 2016
    • Kalahari Awards 2016
  • 2015
    • Aegis Graham Bell Awards 2015
    • Telecoms.com Award 2015
    • Kalahari Awards 2015
    • Future Digital Awards 2015
    • M2Payments Latam Awards 2015
  • 2014
    • Meffys Awards 2014
    • Aegis Graham Bell Awards 2014
    • Frost & Sullivan 12th Annual 2014 India ICT Awards”
    • Global Telecoms Business Innovation Awards 2014
  • 2013
    • Meffys 2013 Awards
    • AfricaCom Awards 2013
    • Aegis Graham Bell Award 2013”
    • Global Telecoms Business Innovation Awards 2013
    • GSMA Global Mobile Awards 2013
  • 2012
    • Zimbabwe ICT Achievers Awards 2012
    • Golden Peacock Award 2012
    • Aegis Gram Bell Awards 2012”
    • World Communication Awards 2012
    • HR Leadership Award 2012
    • Asia Communications Awards 2012
  • 2011
    • Golden Peacock Award for Innovation 2011
    • Distinguished Fellow Award 2011
    • mBillionth Award South Asia 2011”
    • Aegis Gram Bell Awards 2011
    • Asia Communication Awards 2011
    • 5th CMAI National Telecom Awards 2011
    • Total Telecom’s World Vendor Awards 2011
    • Golden Peacock Innovation Award 2011
  • 2010
    • AfricaCOM Awards 2010
    • Frost & Sullivan Awards 2010
    • mBillionth South Asia Awards 2010”
    • Mobile Messaging Congress 2010
    • INFOCOM CMAI National Telecom Award 2010
    • Total Telecom’s World Vendor Awards 2010
    • GSMA Global Mobile Awards 2010
    • Golden Peacock Award for Innovation 2010
  • 2009
    • Deloitte Technology Asia Fast 500 2009
    • AfricaCOM Awards 2009
    • Golden Peacock Award for Innovation 2009”
    • Golden Peacock Award for Innovation 2009
    • GSMA’s Mobile Money for the Unbanked Initiative
    • GSMA Global Mobile Awards 2009
  • 2008
    • Golden Peacock Award for Innovation 2008
    • GSMA Mobile Asia Congress Awards 2008
    • AfricaCOM Awards 2008”
    • Deloitte Technology 2008