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Used crypto mining equipment: We are confident you’ll be happy with our product so we provide a 60-day no hassle go lower back insurance for our valued customers. You can take a look at it and cross back it within 60 days if you are not happy from purchases made from btcminingtrader.com.
You may additionally pass again any item in specific packaging as long as the goods are not broken or abused while you are trying out it to your use. You can go back the goods for any purpose internal 60 days of shipping. The consumer is accountable for the pass again delivery fees. Original transport expenses paid via the patron are non-refundable.
No Restocking Fees – Used crypto mining equipment
We will no longer charge a restocking rate so long as the products are in precise packaging, no longer damaged or abused, and again within 60 days from the date of delivery.
If merchandise are damaged or abused, we might also refuse the move lower back or price a restocking price at our discretion.
Return shipping expenses and prison responsibility is the responsibility of the purchaser till it reaches Btc Mining Trader possession. With exception, if it’s miles the fault of Btc Mining Trader for the go back which includes warranty substitute, Btc Mining Trader will provide a pay as you go return label in maximum instances.
How to head lower back a product
With your no problem 60-day return policy, all you want to do is fill out the client go back form, touch us at email@example.com.
If you’re converting an item below guarantee, please contact us at firstname.lastname@example.org.
*You are accountable for backing up information and clearing records that is saved for your gadgets. Btc Mining Machine Online is not answerable for moving data on replacements. Used crypto mining equipment
Damaged and faulty merchandise
All faulty or broken merchandise will be replaced with the equal or better product than what grow to be initially bought. Products that are discontinued, provided out, or out of inventory (extra than 15 days), could be upgraded to the next equivalent model (loose improve).