As a TV executive, analyzing audience demand for a TV show like "Halt And Catch Fire" is critical in making informed content, acquisition, distribution, and programming decisions. With the help of demand data from Parrot Analytics, executives can apply insights into their decision-making process to create better content strategies.
Demand data can be used to evaluate the success of a TV show, as well as its potential for growth and longevity. By examining the history of a show's demand, executives can identify trends or spikes in demand to make decisions about programming and distribution strategies. In the case of "Halt And Catch Fire," demand has decreased over the past month in the United States. However, the show ranks at the 96.3rd percentile in the history genre, indicating that demand for it is still high compared to other history titles on the market.
Demand data can also be used to assess the potential value of a TV show in different markets, which is valuable when considering acquisition and distribution strategies. For example, in the last 30 days, "Halt And Catch Fire" outperformed the average TV show in all ten of its top global markets, such as the United States and Canada. Knowing where a show is in demand, how it performs in different regions, and who its target audience is achievable with demand data.
Additionally, executives can utilize demand data to help with content valuation. With Parrot Analytics content valuation system, executives can calculate the dollar value of a title, to a platform, in any region. The demand-based valuation system also supports assessing marginal revenue contribution and overall engagement for specific titles. This information enables executives to make more informed and data-driven decisions around the cost of producing or acquiring specific titles and their commercial value for the platform.
Demand data can also help assess a show's spin-off potential or franchisability. In the case of "Halt And Catch Fire," its Parrot Pulse shows good potential for spin-off opportunities, indicating that the show's audience would likely engage with a related franchise or spin-off series. This information would be critical in making decisions on whether to develop a spin-off series and how to allocate resources to promote it.
In conclusion, demand data from Parrot Analytics provides valuable information that can assist television executives in making more informed and data-driven content, acquisition, distribution, and programming decisions. By utilizing demand data, executives can improve their understanding of a show's audience and market potential, allowing them to optimize their content strategies to meet the needs and interests of viewers, resulting in a competitive advantage in the crowded streaming market.
