Yesterday achieved massive outreach and viewership through YouTube advertising using Mirrors!
United International Pictures wanted to achieve significant viewership and drive box office success for the release of movie Yesterday in Philippines. However, it faced a unique challenge due to IP restrictions against the core storyline of the movie – The Beatles music and related content. Any piece of music, imagery, iconography or lyrics from The Beatles could not be used in the campaign materials or executions, making reaching their fan base, and Yesterday’s target audience, a huge challenge.
Silverpush’s AI powered context detection platform, Mirrors identified in-video contexts like faces, logos, objects, and scenes, relevant to the movie ; effectively serving ads in line with movie related content users were actively engaging with.
Music being the movie’s central theme, Mirrors detected music instruments, faces of band members, music scenarios, and logos of The Beatles and other contemporary bands. And, helped target relevant content without violating IP restrictions. Mirrors also strengthened the connection between music and the movie by reaching users at the moment when they were engaging with their musical interests.
Mirrors’ In-video Context Detection
Trained to draw insights from millions of pieces of visual content,
Mirrors uses computer vision to identify in-video contexts for highly
relevant ad placement targeting.
And detected faces of Yesterday movie stars including Ed Sheeran, Lily James, Himesh Patel and more.
Yesterday surpassed projected box office collections by 45%
Mirrors effectively targeted context relevant content, which is not fully possible using standard content targeting.
Capitalized on users’
current state of mind
Served ads to the relevant audience in line with content they were engaging with, not based on past searches or affinities.
Mirror’s built-in brand safety mechanism filtered undesired content that can potentially evoke negative emotions like violence, nudity and more.