If you are a TV executive, demand data can aid in making more informed and data-driven decisions regarding content, acquisition, distribution, and programming. The show "Ben 10 (2016)" in Canada is a prime example of how demand data can help you make strategic decisions.
Demand data provides insight into the engagement levels of a TV show and can help TV executives make content valuation decisions. For instance, if you are the head of programming, the show's demand data can tell you how much the series is worth, specifically its dollar value contribution to your platform or network, using Parrot Analytics content valuation system based on demand data. It also provides detailed insight into the strengths and weaknesses of a show’s performance, and where it fits into the wider spectrum of content on your platform. In this regard, based on the demand data we’ve collected, we’ve discovered that "Ben 10 (2016)" has a demand that is 5.3 times the average show in Canada over the last 30 days, indicating that the show is popular. Thus, investing in the acquisition of this show, for instance, may prove to be profitable. Furthermore, since the show has a high demand, you can optimize your marketing campaign based on the audience demand, consequently, increasing the show's audience in Canada.
Executives can also use demand data to optimize their release strategy and pricing. For example, by examining the demand data for "Ben 10 (2016)", we can determine that the demand spiked in mid-January 2024 in Canada. This information would be useful if you are a content distributor to strategize your release schedules to the next spiked period to capitalize on demand. Also, the show's outstanding demand in Venezuela, Sri Lanka, and other countries can guide you if you want to expand your TV series through a new market.
Using demand data, executives can uncover under-monetized titles. If you are an OTT platform, this could be a useful strategy in identifying new market opportunities. For example, Venezuela, Sri Lanka, and other countries have demonstrated high demand for "Ben 10 (2016)"; hence the show has an under-monetized demand in those countries. Investing in content distribution and marketing campaigns targeted at those regions may lead to increased revenue streams.
Demand data informs streaming platforms on viewer retention and acquisition. If you are interested in growing your audience, knowing the shows that the audience that accrue to your platform likes the most could be a good starting strategy to drive a retention and acquisition campaign. Based on the data, "Ben 10 (2016)" fans also like shows such as "Ben 10: Omniverse", "The Repair Shop", and "Ben 10: Ultimate Alien," which could help in determining which shows to acquire or produce.
Finally, demand data reveals unique insight into a show's franchise potential and the associated spin-off opportunities. With exceptional results in longevity and franchisability, "Ben10 (2016)" presents numerous opportunities for studios and production companies, whether that’s now or in the long-term. By undergoing a similar analysis across numerous shows, you’ll be able to assess which IP is most likely to offer a strong return on investment (ROI).
In conclusion, demand data can guide your decisions regarding content acquisition, distribution, programming and franchising from a more informed and data-driven position. By examining the demand data for "Ben 10 (2016)," as an example, we have highlighted how demand data can help television executives make strategic decisions to grow their platform and gain maximum ROI.
