As an entertainment executive, you are always striving to make informed decisions that can attract and retain viewers to your platform. Demand data can provide crucial insights to help you make more informed content, acquisition, distribution and programming decisions. Therefore, let's take a closer look at how audience demand data for the TV series Camelia La Texana can inform strategic decisions.
Firstly, by examining the demand data for Camelia La Texana, we can estimate its value as a strategic asset for any streaming service. Based on the demand data, it is clear that the show is highly popular in its home market of Mexico with demand that is 3.5 times higher than the average show in the country. Along with consistently high demand, the show has also experienced a recent increase in popularity. These factors should factor into any content valuation of the show, as its high demand in Mexico may indicate that it has the potential to attract new subscribers in the region. Similarly, evaluating which global markets the show has the highest demand in could inform decisions on which additional markets to target or expand into.
Secondly, demand data enables you to identify which elements of the content are resonating most with the audience. Examining the metadata shows that the show is classified as a romance genre and has higher audience demand than 98.5% of all romance titles in Mexico. Its ranking in the romance genre within Parrot Analytics' demand system shows audience receptiveness for romance content in Mexico. Such data can assist executives in understanding if there is a surge in a particular genre. It can also help inform decisions about which genre of content to invest in or produce to meet and fulfil the audience demand.
Thirdly, analysing the demand data, particularly the spike in mid-February, may indicate that specific marketing campaigns or release strategies were more successful, providing valuable insights on how to replicate that success with other content. On the other hand, by examining the low scores in dimensions like longevity, momentum, travelability, franchisability, and reach, executives can determine what needs to be addressed to optimise the performance of this show and any follow-up projects or similar titles.
Fourthly, demand data can be used to evaluate the performance of a show across a rolling year basis versus the last 30 days, which will highlight whether or not a show is increasing or decreasing in popularity recently. The data for Camelia La Texana reveals that on a rolling year basis, the average demand for the show was 2.5 times the average title, but in the last 30 days, it rose to 3.5 times the title average, indicating an increase in popularity. Such data helps executives forecast a show's future audience interest, and media strategy can be reconfigured based on this analysis.
Lastly, demand data allows you to identify audiences interested in specific content and provide insights into where the content is most in-demand globally. It shows that the show outperforms the demand of an average TV show in all the top 10 global markets where it is most requested. As it ranks number 1 in Mexico, executives looking for an additional show to appeal to audiences in the region, could use "Camelia La Texana" as a benchmark and invest in similar titles that can grab the attention of a similar audience.
In conclusion, by harnessing demand data to complement traditional measurement tools, entertainment executives can make more informed decisions about programming, acquisition, distribution, and content decisions. Demand data assists in discovering new opportunities, optimising content releases, measure the success of marketing campaigns and gain valuable insight into the performance of shows across markets, genres, and platforms. Therefore, it is highly beneficial and informative for any entertainment executive to take advantage of audience demand data to make decisions about their content.
