Gracenote, Nielsen’s content solutions arm, has introduced the Distribution Dynamics and Program Availability Archive, with new datasets to help content owners and buyers optimize program licensing and acquisition strategies.
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.
Gracenote Distribution Dynamics sheds light on how individual streaming and broadcast programs are consumed by evaluating the following characteristics: bingeability, by measuring the average number of TV show episodes watched per day to quantify viewer propensity to consume multiple episodes in a row; loyalty, by capturing the number of minutes and percentage of available content viewed per month to highlight viewer likeliness to stick with a program; and program similarity, by identifying programs that resemble other programs based on lookalike thematic characteristics, viewing audiences and historical performance.
“Leveraging this intelligence, streaming services and networks can optimize 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,” according to Gracenote. “Media companies and studios can solve content distribution challenges by understanding what programming to create or license to maximize viewership. Studios, streaming services and networks can answer content development questions by identifying underserved viewership segments.”
Gracenote Program Availability Archive provides visibility into the past placement of content across various streaming services to help inform future distribution decisions. Historical information, available for the past five years includes program and episode titles, unique Gracenote content identifiers (IDs), original air dates, availability start and end dates, and season and episode numbers.
“Using the Gracenote Program Availability Archive, content creators, licensors and buyers can see program release scheduling, stacking, windowing and removal information and develop go-forward content strategies,” according to the company. “Additionally, this information enables whitespace analysis capabilities and comparisons between owned content catalogs 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 monetization efforts,” Simon Adams, chief product officer at Gracenote, said in a statement. “Gracenote’s Content Analytics solutions, including our new Distribution Dynamics and Program Availability Archive datasets, meet these needs by providing owners and buyers trusted data and intelligence to inform decision-making around their content strategies.”