Netflix’s standing as a streaming innovator has been below assault lately, however the firm’s current non-fungible token (NFT) experiment proves it’s nonetheless within the Digital disruption sport. The firm launched a sequence of 9 NFTs on Opensea’s NFT market in May, every representing a scene from the third season of its standard science fiction anthology sequence Love, Death + Robots.
Along with cutting-edge animation, the sequence options the abilities of actors akin to Michael B. Jordan, Mackenzie Davis, Rosario Dawson, Mary Elizabeth Winstead, Joel McHale, Topher Grace, and Samira Wiley, in addition to adaptions of basic science fiction tales from Bruce Sterling, Harlan Ellison, John Scalzi, J. G. Ballard, and others. Without a lot fanfare aside from a tweet and a refined immediate within the closing credit of the season’s final episode, Netflix introduced that it had hidden QR codes to among the scenes in billboards and on social Media, so solely essentially the most hardcore followers participated within the preliminary providing.
Netflix’s NFT occasion is extra about viewer knowledge than blockchain income
Netflix isn’t prone to make a lot Money from the promotion, a considerably distinctive method that veers away from the gold rush mentality that has typified a lot of the exercise within the NFT house.
Even the most well-liked Love, Death + Robots NFT—on “Exit Strategies,” an episode about three robots inspecting the aftermath of humankind’s demise—is out there for the ground value of 0.002 Eth ($3.36).
But a byproduct of the blockchain promotion, which pulls to a detailed on Sept. 24, has been an unofficial rating of season three’s episodes, with gross sales revealing which one followers cherished essentially the most. This has inadvertently supplied the tv trade a brand new approach to gauge the true scores of a present sooner or later.
These are the NFTs that bought essentially the most:
On Aug. 12, Netflix announced that it was transferring ahead with a fourth season of Love, Death + Robots—this time armed with a brand new type of viewers knowledge that would inform future programming selections associated to the sequence, and presumably its different authentic productions.