Demand data can be a game-changer for entertainment executives at OTT, SVOD, programming and other content-related companies. It helps answer important questions that executives should consider in their decision-making process. For example, the case of "Silicon Valley" can provide useful insights on content valuation, acquisition and distribution, among others.
One of the most significant uses of demand data is content valuation, which can benefit executives when negotiating prices with studios, producers, or content creators. Demand data can help determine precisely how much a title is worth to a platform or streamer in a specific region, making negotiations smoother and more accurate. By analyzing the demand data for "Silicon Valley" in Spain, execs can understand how valuable this show is to its target audience compared to other TV shows.
Demand data can also inform acquisition decisions. For example, knowing that "Silicon Valley" audience in Spain increased by 33.7% in January 2024 provides valuable insights that the show is in demand among its target audience. This information can be useful in knowing which shows will attract new subscribers or retain current ones. The show's global success across several markets also shows that investing in shows that can travel well can lead to high demand globally.
OTT and SVOD platforms, especially those that strive to keep their subscribers satisfied, can rely on demand data to inform programming decisions. Knowing which titles keep viewers coming back week after week, month after month, or which past shows still have long-term demand allows more efficient content curation. The longevity and momentum metrics illustrate how well "Silicon Valley" has performed over time, highlighting its potential as a long-term content investment and what kind of shows to seek.
Finally, demand data can inform distribution decisions concerning which platforms to target. By considering a show's global demand and identifying specific regions where it has the most traction, content distributors might adjust their strategy to focus on those specific areas. In addition, looking at the show's audience affinity also provides useful information on what cooperations might increase in-demand content alongside spinoff/franchise potential.
In conclusion, demand data is critical for making informed content, distribution, and acquisition decisions. For example, demand data related to "Silicon Valley" in Spain can help executives perform content valuation, inform programming decisions, and identify new target markets to distribute the show. By working with Parrot Analytics and using its advanced demand analytics services, executives can make the best decisions for their companies and content portfolios.
