KT announced on September 1 that it will revamp its main roaming products, 'Shared Roaming' and 'All-Day Roaming.'
The key feature of this update is the increase in data allowances for the 'Shared Roaming' plan, which allows users to share data with family and friends. The 33,000 won plan will increase from 4GB to 5GB, the 44,000 won plan from 8GB to 10GB, and the 66,000 won plan from 12GB to 20GB.
The usage period will also be extended. The 33,000 won 'Shared Roaming' plan and the 19,800 won 'Y Shared Roaming' plan will have their usage period increased from 15 days to 30 days, enhancing convenience for customers staying abroad for longer periods.
For customers needing high data volumes, a new 'Shared Roaming 40GB' plan priced at 77,000 won will be introduced. The 'Y Shared Roaming' plan for customers aged 34 and under will also see an increase in data allowance, with a 40% discount compared to the standard 'Shared Roaming' plan and an additional 1GB of data.
The 'All-Day Roaming' plan will also see increased data benefits. The basic tier will double its daily data allowance from 500MB to 1GB, while the plus tier will increase from 1GB to 2GB.
KT is also offering partnership benefits for roaming customers. Discounts of 10,000 won are available at Incheon and Gimpo International Airport lounges. Customers can receive coupons through the KT Membership app and purchase access through a partner's exclusive page. Additionally, discounts for travelers in Southeast Asia through Grab will be available. Customers entering Vietnam, the Philippines, Thailand, Indonesia, Malaysia, Singapore, and Cambodia will automatically receive a Grab Travel Pass code via text message, which can be registered in the Grab app for discounts on ride-hailing, food delivery, and grocery shopping services. This offer will end once supplies are exhausted.
Kang Yi-hwan, head of KT's Customer Service Division, stated, "We focused on expanding data benefits that overseas travelers can feel the most. We will continue to introduce differentiated roaming services that reflect customer usage patterns."
* This article has been translated by AI.
Copyright ⓒ Aju Press All rights reserved.
