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Unlocking Strategic Insights: How Demand Data for 'Good Eats' Can Help TV Executives Make Informed Decisions

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Parrot Analytics Insights - December 2023

As a TV executive, analyzing demand data can help you make informed decisions related to content valuation, acquisition, distribution, or programming. Let's use "Good Eats" as a case study and explore how demand data can inform various strategic decisions.

Firstly, content valuation: demand data can be used to estimate how much a specific title is worth to a platform in any given region. By analyzing the demand for "Good Eats" in the United States over the last 30 days, we can determine that its demand is 11.1 times the average show, and only 2.7% of all TV shows have this level of demand. This information can be used to assess the economic value of the series to a streaming platform.

Next, acquisition and distribution decisions: By examining the top 10 global markets where "Good Eats" is most in-demand over the last 30 days, we can determine that the show outperforms the demand of the average TV show in each of these markets. We can access this information because the Parrot Pulse measures its global performance across six dimensions -- one of which is travelability, which quantifies a show's international demand relative to its home market. For "Good Eats," its travelability is poor, highlighting that the show's demand is most significant in the United States.

Programming decisions: analyzing demand data over different periods provides valuable insights into the show's trend. For example, comparing the performance of "Good Eats" on a rolling year basis vs. the last 30 days reveals how its average demand is increasing since its peak demand was 13.9 times the average over the course of the entire year, while it peaked at 13.3 times the average in the last 30 days, indicating a 4.0% increase. This uptick can be used to make informed decisions related to promoting the show, increasing production, or investing in related shows.

Subscriber acquisition and retention: demand data provides the information necessary to assess the reasons why an audience is watching the show. This information can be used to estimate a TV series' ability to drive subscriptions and mitigate churn. The significant drop in audience demand for "Good Eats" (-31.9%) during December in the United States signifies that the show's popularity may be waning. A shift in the audience's taste, competition from new shows, or other factors could explain this dip in demand. Content creators can use this information to assess how well they are capturing and maintaining their target market.

Competitive benchmarking: analyzing demand data helps TV executives understand the performance of their content against other titles available on the market. The demand profile for "Good Eats" suggests that it has a global audience, with its reach being the number of people expressing demand for a show in any given region. By analyzing the audience demand for comparable titles, TV executives can determine how to position their shows better and increase popularity.

In conclusion, demand data drives various strategic decisions related to content valuation, acquisition, distribution, programming, subscriber acquisition and retention, and competitive benchmarking. In the case of "Good Eats," its success in the United States and across the globe makes it a valuable acquisition for any platform looking to broaden its market appeal within the food documentary genre.

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