ContentWise, an AI-powered experience automation and personalisation company, and Ranker, a source for crowdsourced rankings with over 1 billion consumer votes on a multitude of M&E topics, announced a partnership that combines Ranker’s rich movie and TV correlation data models with the ContentWise UX Engine.
This integration enables operators to leverage the power of fan-based rankings and collective consumer opinion directly on their platforms, extending viewership signals beyond their customer base and significantly enhancing recommendations precision.
Ranker’s proprietary consumer sentiment and affinity data, “Ranker Insights”, produces correlation data powered by over 1.3 billion fan votes. In the entertainment category specifically, Ranker’s holistic view of consumer preferences spans more than 52,000 editorially-curated polls, generating rankings across tens of thousands of TV shows, movies, characters, casts and celebrities. By collecting post-consumption opinion data at a massive scale, Ranker’s psychographic engine uncovers insights into consumer viewing preferences across the entertainment ecosystem, including the walled gardens of major streaming platforms.
Due to “Pluggability”, a new feature ContentWise officially unveiled last month for its UX personalisation and content discovery platform, the collaborative correlation data models provided by Ranker can now be run within the UX Engine platform. This new feature, built on ContentWise Open Connector, allows operators to seamlessly integrate any external, bespoke recommendation model into the UX Engine. With Pluggability, operators have the freedom and power to use any AI personalisation model with UX Engine, marking a significant advancement in content personalisation.
“We are thrilled to be partnering with ContentWise to provide adaptable, data-driven solutions to their impressive clientele of video operators, digital publishers, and online retailers,” added David Yon, SVP and GM of Ranker Insights. “Our Ranker Insights platform has made extraordinary strides toward solving the problems associated with targeted marketing, editorial, and merchandising practices over the past few years, and we are confident we can help make ContentWise’s already successful CX solutions perform even stronger.”
“The combined power of consumer sentiment data by Ranker and personalisation technology by ContentWise brings a fresh discovery and recommendations use cases to our partner operators” comments Renato Bonomini, VP of Sales Engineering and Ecosystem at ContentWise.
“On the editorial side, topics from Ranker Insights are directly available within UX Engine to support content curation. From the algorithmic perspective, ratings from Ranker Insights increase the quality of our recommendation models.”