For entertainment executives looking to make informed content, acquisition, distribution, or programming decisions, demand data is critical. It provides insight into the popularity of a TV show in a specific market, season, or time frame. Using demand data for the Indian TV drama "Rishta Likhenge Hum Naya," we can provide insights into how this information can be used to inform strategic decisions.
One of the primary applications of demand data is content valuation. It helps answer questions regarding the dollar value contribution of a title and how it contributes to the platform's revenue. In the case of "Rishta Likhenge Hum Naya," we can see that it has 2.2 times the audience demand of the average show in India over the last 30 days. This is an excellent indication of how popular the show is compared to other content in the market.
Another use of demand data is for acquisition decisions. With the insight that only 8.6% of all TV shows have the level of demand that "Rishta Likhenge Hum Naya" has, entertainment executives can determine the viability of acquiring the show. Additionally, examining the top 10 global markets where the show has been most in-demand over the last 30 days can help platforms assess whether they should acquire the rights to distribute the show in those markets.
Content distribution also benefits from demand data insights. Understanding where the show is most popular can help entertainment companies decide where to invest in distributing their content. For example, "Rishta Likhenge Hum Naya" is most in-demand in India, suggesting that the show's creators focus on advertising and outreach there to sustain audience engagement.
Moreover, programming decisions can be informed by demand data. Understanding the show's rank in its genre, the audience it appeals to, and how its demand compares to other titles can be exceedingly useful in determining its potential for sustaining an audience. For example, this show ranks in the 97.7th percentile in the romance genre in India in March, which means it has higher demand than 97.7% of all romance titles in the market. However, the data also shows that the demand for the show has decreased by 78.3% in March 2024. This decrease in demand suggests that the creators should examine factors affecting its popularity.
Finally, demand data can inform long-term strategic decisions regarding future content investment. By examining the show's travelability and longevity, entertainment executives can decide how suitable it is for their global expansion plans. In the case of "Rishta Likhenge Hum Naya," the show's franchisability is poor, and its reach is just okay. This data is an indication that the show might not be as profitable or sustainable in the long run, despite its current high demand in some markets.
In conclusion, the demand data for "Rishta Likhenge Hum Naya" shows how executives of media and entertainment companies can use insights to make more informed content, acquisition, distribution, and programming decisions. The show has high demand in India and some global markets, but it has also experienced a recent decrease in popularity. Entertainment executives can use the data to assess the show's commercial viability and its potential for sustaining and growing its audience.
