Sneakers · Nike
Buy Nike proxies. Region-matched, one per entry.
Nike runs heavy commercial bot detection and scores IP reputation hard. What survives a drop is a residential address in the release region that nothing else has burned.
From $0.44/GB · pay as you go · balance never expires
What works on Nike
Two products fit this, in this order
Region-matched means the release region, not just any country
A drop is regional. Entering a European release from a US address is not a small mismatch, it is the signal that separates a genuine entrant from an automated one. The address has to be in the region the release is actually running in.
That is also why a generic proxy pool underperforms here even when it is technically residential: the country matters as much as the type, and pools that cannot pin a country reliably are solving half the problem.
Reputation is the thing you are actually buying
Nike's detection layer, widely reported to be Akamai's Bot Manager, scores the address before it scores the behaviour. An address that has already been used for a hundred entries this month carries that history into your entry. The value of a clean pool is not speed, it is that nobody spent its reputation before you.
This is why the cheapest option is systematically the worst one here. A shared datacenter range is cheap precisely because everyone is already on it.
Going deeper
We wrote the long version too
FAQ
Nike proxy questions, answered
What proxies work for Nike SNKRS?
Residential, matched to the release region. Nike scores IP reputation heavily through its bot-detection layer, so datacenter ranges and recycled addresses are filtered before the entry is even considered.
Do free proxies work for a Nike drop?
No, and the reason is reputation rather than uptime. A public address has already been scored by everyone who used it before you, which is precisely the signal Nike's detection layer weighs first. It will confirm a page loads. It will not survive an entry.
How many Nike proxies do I need?
It depends how many entries you are running, but the principle is one clean address per entry. Sharing addresses across entries is the fastest way to have all of them scored together.