As an entertainment executive, you can make use of demand data to inform your content decisions. In this case, let's look at the example of "Laverne & Shirley" to illustrate how demand relates to content valuation and how it can assist you with acquisition, distribution, or programming decisions.
Firstly, it is essential to note that demand data can be used to value content. You can use Parrot Analytics' content valuation system to reveal the dollar value contribution of any title, to any platform, in any region. In the case of "Laverne & Shirley," we see that the demand is good, with 2.9 times the audience demand of an average show in the United States over the last 30 days. You can use this information to calculate the ROI that this particular title can bring to your platform.
Secondly, looking at the demand data, we can see that the demand for "Laverne & Shirley" has been decreasing recently. As an entertainment executive, you can use this information to re-evaluate the acquisition, distribution, or programming strategy for this TV show. For example, you can consider moving it to another time slot or increasing the marketing efforts to create more buzz around the show.
Thirdly, examining the top 10 global markets where "Laverne & Shirley" is most in-demand over the last 30 days, we find that the TV series outperforms the demand of the average TV show (1x) in each of these markets. This information can be useful for your distribution strategy, as you can prioritize these markets where the show is highly in-demand and allocate more resources to promote and distribute the show in these regions.
Fourthly, it is important to note that demand data can also reveal insights into audience preferences and taste clusters. For instance, we learn from the data that other shows that fans of "Laverne & Shirley" are interested in include "Doctor Who (2005)," "Alf," and "The Twilight Zone." This information can be useful in helping you to identify other titles to acquire that will appeal to your audience's interests and preferences.
Finally, beyond content valuation and programming decisions, demand data can also support talent and franchise decisions. For instance, looking at the Parrot Pulse for "Laverne & Shirley," we see that its franchisability (spin-off potential) is poor, and its reach (the number of people expressing demand for a show) is poor. This information can guide your franchise decisions, such as whether a spin-off is worth investing in, or if another title that has better franchise potential could be a better investment.
In summary, use demand data to answer the following questions: how much is my series worth, how much of my series' value is being driven by demand for one of its stars, what is the value of a content library to a platform over time, why should my series be considered a strategic asset for a streaming platform, what is the baseline value of a title, and how is my series performing as an acquisition-driving or churn-reducing title? Ultimately, demand data can assist you in making informed content, acquisition, distribution, and programming decisions.
