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Check Fair Market Price of
Any Used Vehicle
Price of new in 2017
OBV Price Range for this vehicle in Good Condition
This is a used Bajaj Avenger Street 150 2017 Motorcycle/Bike model with Petrol variant. It is a Cruiser Motorcycle/Bike The specifications of the Motorcycle/Bike include engine displacement 150 cc , fuel efficiency level 45 kmpl , fuel tank capacity of 14 litres, maximum power of 14.30 bhp @ 9,000 rpm , maximum torque of 12.50 Nm @ 6,500 rpm and transmission is Manual. If this second hand vehicle goes hand in hand with your requirement, comfort and affordability, then it is the best option for you.
However, this particular pre owned Motorcycle/Bike has been driven for 22000 KMs only, the condition of the Motorcycle/Bike and the Full Circle Trust Score is 6. The ownership of the Motorcycle/Bike belongs to the First Owner , who is willing to sell Bajaj Avenger in gurgaon and in other adjacent cities at a price of Rs.59500. The Motorcycle/Bike 3 years Buyback Guarantee, RC Copy and Free Roadside Assistance *T&C apply.
Get Answers To Any Questions That You Might Have About Buying At Droom And Buying This Specific Motorcycle/Bike
Droom puts the buyers at the top of priority for an unmatched buying experience. These include:
The token amount is the commitment fee that a buyer must pay to initiate the transaction process. It is generally 2-3% of the selling price of the vehicle. Once you pay the token amount, you get access to vehicle and seller information to pay the remaining amount to close the transaction. This token amount is fully refundable under Droom’s Buyer protection program. However, if the buyer chooses to cancel the order, the token amount is processed within 5 business days.
Orange Book Value (OBV) is a 21st century AI machine learning used vehicle valuation tool. It is objective, unbiased, and independent. It considers the category, make, model, year, and trim of the vehicle along with the condition of the vehicle and the kilometers it has run to suggest the fair market value within 10 seconds.
Eco inspection is carried out by trained industry professionals to certify the vehicle's condition and performance. 1100+points doorstep inspection is carried out to bring quality vehicle information with certified reports. Every used vehicle listed at Droom is put through Eco inspection to add credibility for sellers and reliability for the buyers.
Yes, Loan facility is available on this Motorcycle/Bike. Check the interest rate and your credit limit on it.
Droom’s Best Match Subscription (“Subscription”) is a special program through which the buyer gets a curated experience of buying a vehicle and it enables the buyer to submit Requirement, Match, and Buy the desired vehicle according to his/her specific requirements. This allows the buyer to only see the relevant matches against his requirement, and also get assistance from Droom’s Auto Experts in buying the desired vehicle.
A Best Match goes through all aspects for buyer protection by Droom: Verified Seller; Verified Documents; Verified and finally negotiated price; Tentative date and time of delivery; 20-30 additional parameters for buyer protection. This is done to provide the best buyer experience.
The price for this Best Match Subscription is Rs. 499 (inc. GST) for all two-wheeler vehicles and Rs. 999 (inc. GST) for all four-wheeler vehicles. During this program, the buyer has access up to 4 Verified Matches out of the total vehicles matching the requirements within the Subscription period of 30 days from the date of the Best Match Subscription order.
The buyer is eligible for a 100% cashback on the Best Match Subscription Fee of Rs. 499 or Rs. 999 (inc. GST) post a confirmed vehicle delivery.
The Subscription amount paid by the buyer is covered under Money Back Guarantee Program which allows the buyer to be eligible for a full refund in case of a refund claim is raised using the website/app features within the stipulated time period provided. Below are the terms applicable in case of a refund request:-
* EMIs shown are indicative and subject to Lender terms
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