Movie consumption behavior across theaters and streaming platforms was converging even before the COVID-19 pandemic. Furthermore, in today’s fragmented media landscape, viewers are watching movies on multiple platforms and devices, making it difficult to gain a comprehensive understanding of total audience engagement.

In this WhipFLASH Webinar, learn how to leverage billions of 1st-party data points to gain an understanding of how audiences are watching and engaging with movies today. How do we determine the tradeoffs in release strategies? What is the push and pull between theatrical, PVOD and SVOD? Equally important, where are these audiences coming from, how are they growing over time, and how do we reach them most efficiently? The answers to these questions will help marketing, research and licensing teams develop strategies to best capitalize on the opportunities – and avoid the pitfalls – that present themselves in a rapidly evolving film landscape.

For the past three Fall television renewals seasons, Whip Media has internally scored the accuracy of TV Time’s pre-premiere follower counts to predict performance of which ” freshman”, or debut, shows are most likely to renew. And whether the social buzz around anticipated freshman shows, really gives them a head start on the path to renewal.

The 2019-2020 season was full of upsets due to the cultural shifts brought on by COVID-19, among other things:  disrupted release schedules, loss of interest among viewers, and changes in overall viewing behavior.  This led us to ask whether our TV Time data could also yield advanced warning signs before a show has run its full course.  This could theoretically give Broadcasters, Studios and Production Companies, in both the linear and online space, more runway to plan around both predicted successes, and potential shortfalls. This webinar will provide a deep dive into those very signals, in the context of the industry’s 2020 freshman renewals on the major broadcast networks.

Once a generation, Hollywood experiences a seismic shift. It is happening again with OTT and fueling intense competition for catalog and long-tail content to fill programming gaps and address the new realities of generational and niche audience viewing patterns.

As licensing costs rise and finding the hidden gems becomes more difficult, how do you select the right titles to attract, retain and engage your customers? IMDb, Box Office receipts, ratings or intuition?  Is it possible to predict the performance of your avails and exploit break-out TV shows and movies ahead of the competition? The answer is yes.

This session will explore these challenges and present a new performance modelling approach that leverages unique data and analytics and strategic AI-powered workflows to predict content performance and optimize licensing, distribution and merchandising strategies.

Speaker: Carol Hanley, Chief Revenue & Strategy Officer