Realtime Reward
Data Insights
Global Data
Introduction
Since January 2019, iFREE GROUP and Visa have collaborated to introduce the MOGO "Visa Global Data SIM Card," providing Visa cardholders in China with seamless global connectivity. This partnership enhances Visa's loyalty program, boosting engagement and loyalty among cardholders.
Challenge
Visa realized that basic payment services were insufficient to retain high-end customers' loyalty amidst evolving market trends. The challenge was to integrate innovative value-added services, optimize the user experience, and establish a mutually beneficial relationship, focusing on engaging and retaining high-net-worth customers.
Solution
Leveraging insights from Visa's "Global Travel Intention Survey," iFREE GROUP developed the MOGO "Visa Global Data SIM Card," addressing high roaming costs and poor travel experiences for Chinese mainland cardholders:
Exclusive Customization: Providing Visa cardholders in China with an exclusive MOGO S data SIM card that supports networks service worldwide.
Convenience and Affordability: Offering exclusive data discounts for Visa users, enabling global calls and internet services at local rates.
Premium Plans: Introducing a $1 value-added plan for Visa premium cardholders, offering customized exclusive benefits to deepen cardholders' emotional connection to the Visa brand and long-term loyalty.
Instant Rewards Program: Launching a "Shop and Earn" data incentive program, offering instant data cashback after each transaction to boost engagement and card usage.
Result
Enhanced User Activity: Customized value-added services have significantly increased user activity by meeting the global travel needs of Visa's frequent travelers in China.
Optimized Consumer Experience: The affordable prices and convenient services have enhanced the travel experience of users and strengthened their loyalty to Visa credit cards.
Valuable Bid Data Insights: MOGO provided Visa with global user travel preference analysis, supporting customized marketing strategies with big data insights.
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