As a TV executive, you want to understand how you can make more informed content decisions based on audience demand data. Using the example of "NCIS" in India during January 2024, we can gain insights into how demand data can inform content valuation and programming decisions.
Firstly, audience demand data can help TV executives understand the value of specific content. For example, using Parrot Analytics' content valuation system, you can calculate the dollar value contribution of "NCIS" to any platform in India. In this case, with 2.3 times the audience demand of the average show in India over the last 30 days, "NCIS" holds good value and is in high demand. Furthermore, its outstanding performance across six dimensions, including reach and franchisability, shows that this show has the potential to generate excellent returns on investment.
Secondly, demand data can inform TV executives' decisions around content acquisition and distribution. For instance, by examining the top 10 global markets where "NCIS" is most in-demand over the last 30 days and comparing the data with audience numbers locally, Parrot Analytics can provide insights into whether the show should be acquired for distribution in other markets. In the case of "NCIS" in India, we see that although its global reach is exceptional, demand is strongest in its country of origin, the United States. Therefore, it makes sense to focus marketing efforts in the US and to look for other high-performing shows in India and the other top global markets surveyed.
Thirdly, audience demand data can help TV executives make programming decisions. For instance, understanding which other shows are popular among the fans of "NCIS" in India can inform programming decisions on which show to pair or schedule with "NCIS". Similarly, analyzing audience demand over time can reveal patterns that can inform programming decisions around how to optimize a show's schedule or release strategy.
Fourthly, audience demand data can be used by talent agencies and TV production companies to assess the value of potential projects based on their predicted demand. By looking at the audience demand for "NCIS", we can see that the show maintains exceptional longevity in terms of audience demand over time. This is a sign of a hit, and it can indicate the potential for spin-offs or other forms of franchising that could prove profitable for the producers and partners involved.
In conclusion, audience demand data is a crucial tool for TV executives across the entire content ecosystem in making more informed decisions. It can inform content valuation and acquisition decisions, help select potential projects, inform programming decisions, and identify opportunities for franchising and other forms of revenue generation. In the context of "NCIS", it is apparent that the show is in high demand in India and globally. By leveraging the insights provided by demand data, TV executives can make more informed decisions that result in greater revenue generation and increased customer engagement.
