8,581
likes
476
comments
daily view 0
monthly view 0
Live Analytics
Comments 0
Prada Luna Rossa Ocean - The Film Analytics Table
Income Estimates for Prada Luna Rossa Ocean - The Film
Based on this YouTube video's total view count of 1.97M views and industry-standard rates, the estimated total earning is $1.38K - $3.95K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About Prada Luna Rossa Ocean - The Film
Explore Prada Luna Rossa Ocean - The Film with 1,977,138 views, 8,581 likes, and 476 comments. Experience the impact of this video content that has captured audience attention.
Discover #LunaRossaOcean, the new fragrance by #Prada. Luna Rossa Ocean celebrates humanity augmented by technology, featuring Jake Gyllenhaal in the advertising campaign film directed by Johan Renck. The campaign illustrates the conviction that with technology as an extension of ourselves, we can push beyond our limits, imagine beyond possibility and open new horizons. A fragrance encapsulating a burst of bergamot, contrasted with the extreme sophistication of vetiver and elegant iris notes. Discover more: https://tinyurl.com/ymy7w292 Talent: Jake Gyllenhaal Director: Johan Renck Music: “Supernova Explosion” by Sebastien LIPSZYC & Emmanuel LIPSZYC #PradaLunaRossaOcean #PradaFragrances
About YouTube Real-Time View Count
With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.
Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.
Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.
Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.
Embed Widget
Parameters:
fullscreen=true- Fullscreen countergraph=true- Live graph chartcounter=0/1/2- Select counter (0=likes, 1=views, 2=comments)
URL
Click to copy the embed URL to your clipboard

