Offers & DealsTelecom

Telenor Ramzan Daily Internet Offer: Get Unlimited Downloading & Streaming


To entertain its customers in the month of Ramazan, Telenor has introduced a catchy offer for its internet users. Now you can get the enjoyment of unlimited streaming and downloading in the rest of the days of Ramazan. According to Telenor, the customers of Telenor can avail the internet for one day for Rs. 13 inclusive of all taxes. It will be of 750 MB of internet only that according to the cellular company is just like the free internet for a day because the users can enjoy the best streaming, downloading and obviously the must-have element of the internet the chatting over the social media platforms.


Telenor 3G Ramzan Daily Internet Offer is a daily basic subscription based offers that will remain valid through 1 Am to 7 PM. This offer is for both 2G and 3G internet users of Telenor.

All Talkshawk and djuice customers can avail this offer. To activate the offer, dial *345*139#. The daily subscription will remain valid from 1 AM to 7 PM.

How to Subscribe for Telenor Ramzan Daily Internet Offer?

To activate the offer, dial *345*139#.

Further Details

Dial *999# to check the remaining internet volume.

The bundle will be activated. Each bundle will expire as per its own validity. Bundle with lower validity will be consumed first.

Terms and Conditions:

  • Prices are inclusive of applicable taxes. (if any)
  • Default rate usage without subscribing to bundles will be charged at 15 Paisa (incl. tax) / 10 KB.
  • After Rs.59.75 of daily charging on default rate further usage will be completely free for the rest of the day (Fair Usage Policy of 1.5GB).
  • 3G bundles will work both on 2G and 3G.
  • 2G bundles will not work on 3G.
  • Video Call:
    • Charging will be Rs2.99/5 minutes.
    • A video call capable phone is required.
    • Both parties need to be in 3G area and have 3G Video Call capable phone.
Jennifer Mccarthy

Jennifer is Associate Professor (Ph.D) at Air University. Research Interests: Informatics; analysis of large-scale biological data sets (genomics, gene expression, proteolytic, networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bio-informatics.

Leave a Comment

Your email address will not be published. Required fields are marked *