Gracenote launches new programme datasets
June 1, 2022
Gracenote, the content solutions pillar of Nielsen, has introduced Distribution Dynamics and Programme Availability Archive, new datasets which help content owners and buyers optimise programme licensing and acquisition strategies as TV viewership booms. Complementing Gracenote’s existing Content Analytics offerings, these syndicated datasets provide the content marketplace insights into characteristics of programming that drives consumption and historical availability enabling data-driven decision-making.
Gracenote says a new paradigm shift is underway in terms of how content owners and buyers approach programme development, licensing, acquisition and distribution decisions. The new thinking prioritises understanding of why certain content resonates with viewers and what drives engagement. Clarity on the characteristics of content that drive viewership and understanding the historical placement of content are key to generating the maximum value out of programming in the future.
Gracenote Distribution Dynamics sheds light on how individual streaming and broadcast programmes are consumed by evaluating the following characteristics:
- Bingeability – Measures the average number of TV show episodes watched per day to quantify viewer propensity to consume multiple episodes in a row
- Loyalty – Captures the number of minutes and percentage of available content viewed per month to highlight viewer likeliness to stick with a programme
- Programme Similarity – Identifies programmes that resemble other programs based on lookalike thematic characteristics, viewing audiences and historical performance
Leveraging this intelligence, streaming services and networks can optimise slate management through visibility into what content is better suited for viewer acquisition versus viewer retention, or what types of programming better resonate with certain audiences. Media companies and studios can solve content distribution challenges by understanding what programming to create or license to maximise viewership. Studios, streaming services and networks can answer content development questions by identifying underserved viewership segments.
Using the Gracenote Programme Availability Archive, content creators, licensors and buyers can see programme release scheduling, stacking, windowing and removal information and develop go-forward content strategies. Additionally, this information enables whitespace analysis capabilities and comparisons between owned content catalogues and those of competitors.
“As the streaming business continues to put huge investment into creating content, we are seeing the need for new metrics and insights to help guide monetisation efforts,” said Simon Adams, Chief Product Officer at Gracenote. “Gracenote’s Content Analytics solutions, including our new Distribution Dynamics and Programme Availability Archive datasets, meet these needs by providing owners and buyers trusted data and intelligence to inform decision-making around their content strategies.”