Qloo’s AI helps major brands and enterprises evaluate potential casting and partnership decisions algorithmically, and has driven major ROI in brand partnerships, casting and spokesperson selection by ensuring that the tastes are aligned with the target audience, resulting in often less obvious choices that have high impact.
Qloo’s API can help taste graph enables you to hyper-target your query to suit your precise needs, for example, some sample queries might include things like: people known to have an affinity or transaction history with Brand X or cultural factors A, B and C in the USA:
When a leading fashion brand wanted to launch a music initiative globally, they used Qloo’s API to pull data on the most correlated music artists to different clothing labels and regions in order to sign partnerships. The initiative was a big success, achieving high watermarks of earned media.
CMO of Major division within IAC used Qloo’s Cultural AI to ascertain what media correlations where most relevant to highly targeted consumer they were trying to capture, in order to inform precise media buys with high ROI.
Starwood wanted to pull insight to inform enterprises partnerships across different hotel brands. For instance, which cosmetic brands to use in each location of the branded 1Hotels?
This resulted in hyper targeted insight based on cultural AI, achieving higher relevance and personalization to the target guests’ desired experiences.
Cross Creek wanted to get valuable insight into consumer taste about particular film during the pre-production phase to help inform packaging decisions and align key stakeholders. Cross Creek was drawn to Qloo’s cross-domain AI which allowed for inputs of factors such as a “music artist” (in the case of a biopic about a musician) and being able to pull most correlated music, directors, actors, across segments to help with casting, scoring, and packaging the film successfully.
This approach was highly successful and applied to many pre-production contexts, including instances where they had optioned a book, and used the individual “book” entity as a route through to Qloo’s AI in order to populate data across all relevant domains for producing a movie based on that content.