Giant Revolt Advanced 0 Bicycle
Shipping and delivery times
Shipping and delivery times
Your new bicycle will be ready for shipment within 3-7 business days from payment confirmation.
- Technical Check-up: This time allows us to perform a thorough pre-shipment technical inspection and to use specific protective packaging to ensure the product's integrity.
- Preparation and Shipping: Orders are processed from Tuesday to Friday (excluding Mondays, holidays, and weekends).
Shipping rates (calculated at checkout):
- Frame / Children's Bike (up to 10kg): €19.00
- Road Bike / MTB / Gravel (10-20kg): €39.00
- E-Bike (20-30kg): €59.00
Insurance included: Every bicycle shipment is fully insured
Returns and support
Returns and support
- You can request a return within 14 days of receiving the goods.
- Product condition: Items must be new, unused, with original packaging and labels.
- Shipping costs: Return shipping costs are at the customer's expense.
- Refund method: The refund will be issued within 14 days of product verification, using the same payment method chosen for the purchase.
To consult the complete regulations, exceptions, and detailed procedures, [click here and read our Returns and Refunds policy]
Description
Description
The Giant Revolt Advanced 0 is an elite composite gravel bike, designed for those seeking speed and comfort on long-distance adventures. At the heart of the design is the versatile frame that integrates Flip Chip technology, allowing the wheelbase to be adjusted for a reactive and agile ride or extreme stability on the most technical and uneven terrains.
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Advanced composite frame: Optimized lightness and stiffness for instant power transfer.
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Flip Chip System: Wheelbase adjustment and compatibility with tires up to 53mm for maximum traction.
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D-Fuse Technology: Handlebar and seat post designed to absorb shocks and vibrations, increasing long-distance comfort.
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Integrated storage compartment: Internal frame space to neatly and securely store essentials.
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Seatpost compatibility: Supports both standard and dropper models to confidently tackle technical descents.
