17 October 2017

Data science could boost global pre-paid market by $70 billion - Juvo

04 May 2017  |  2954 views  |  0 Source: Juvo

A new report by Juvo, the pioneer in mobile Identity Scoring, reveals that data-science driven mobile financial services will significantly impact the global pre-paid market, increasing operator revenues by as much as USD $70 billion.

The report, Data Science: Driving Mobile Operator Digital Transformation, demonstrates how establishing financial identities for prepaid subscribers improves operators’ business performance and their broader pursuit of digital transformation, delivering up to 10 percent lift in Average Revenue Per User (ARPU), a 50 percent reduction in churn and a two-fold increase in lifetime value.

Juvo’s report highlights how data science-based mobile financial services dramatically increase engagement across the entire prepaid market, regardless of demographics or geography. When machine learning and predictive credit algorithms are applied to usage data continuously and in real-time, individual subscribers can be assigned personalized financial identities. As intelligence grows, credit worthiness is established and access to a wider array of mobile financial services is unlocked. The report demonstrates that establishing credit is independent of wealth or income, increasing the value of financial identities to users regardless of circumstance.

“We’re only scratching the surface of what is possible with data science-led digital transformation," said Steve Polsky, CEO and founder of Juvo. “Identity-based services deliver unprecedented performance gains - just the impact of credit extensions alone to the global prepaid market could improve revenues, dramatically reduce churn and capture billions of dollars in lost revenue, and more broadly over 1.5 billion people globally lack any form of legally recognised identity. When data science is used to turn anonymous subscribers into identified subscribers, operators can unlock the full potential of their brands and subscriber relationships.”

Identifying, understanding and driving individual customer behavior allows operators to transform their customer relationships and is a critical ingredient in delivering on digital transformation. According to the GSMA, more than 75% of mobile users around the world are anonymous prepaid subscribers. By adopting sophisticated data science methodologies, operators can shift to identity-based relationships and lay the foundation for broader digital transformation.

Real World Impact
Based on aggregated data across multiple markets and operators, data science-led digital transformation is proven to have the following business impact, simply by enabling credit extensions to increase the availability of mobile services:
• Prepaid ARPU increases by 10-15% within the first 30 days of deployment
• Prepaid churn reduced by 50% within 90 days of deployment
• Lifetime value for each subscriber doubles

When applied to the global prepaid market comprised of 3.7bn subscribers, with an average annual ARPU of $150 per user, data science could boost operator revenues by $70bn.

Comments: (0)

Comment on this story (membership required)

Related company news

 

Related blogs

Create a blog about this story (membership required)
visit www.capgemini.comRegister now

Top topics

Most viewed Most shared
Ripple looks to drive bank adoption with $300m XRP rebate programmeRipple looks to drive bank adoption with $...
14552 views comments | 11 tweets | 3 linkedin
Taiwan's Far Eastern International Bank suffers malware attackTaiwan's Far Eastern International Bank su...
13133 views comments | 16 tweets | 22 linkedin
Monzo fends off suitors as current account upgrade beginsMonzo fends off suitors as current account...
9012 views comments | 17 tweets | 14 linkedin
Swift positive on blockchain, but big challenges remainSwift positive on blockchain, but big chal...
8003 views comments | 15 tweets | 20 linkedin
Ripple blockchain network hits 100-member markRipple blockchain network hits 100-member...
7661 views comments | 13 tweets | 13 linkedin

Featured job

Competitive base, commission, benefits
London, UK

Find your next job