According to IAB's latest report "U.S. Podcast Advertising Revenue Survey", podcast advertising revenue in the United States Taiwan Phone Number List in 2020 will be limited by the impact of the new crown pneumonia, and it is expected to increase by 14.7%, and is expected to exceed the $1 billion mark; it is reported that in 2019, the US podcast Taiwan Phone Number List advertising revenue was 708 million US dollar, an increase of 48% year-on-year. In sharp contrast, Chinese podcasts on the other side of the Pacific are still debating whether they will be profitable in 2020; here, "Entertainment Capital" published an article "In 2020, will podcasts be profitable? expressed concern, saying that "podcasters are marginalized by the platform"; on the other hand, "Podcasting Journal" published an article "In 2020, podcasts are profitable! , countered by listing dozens of podcast ad collaborations.
Compared with the Taiwan Phone Number List explosion of American podcasts in the past few years, Chinese podcasts have always been tepid on the road to commercialization. Regardless of their audience or content, the current Chinese podcasts Taiwan Phone Number List are more like a niche utopia; The upcoming discussion is also like a myth about "Schrödinger's cat". Behind the controversy over whether to achieve profitability, we can see the dilemma of "platform centralization" faced by Chinese podcasts.
Various problems caused by this business environment have greatly hindered the commercialization of podcasts; however, Chinese podcasts still rely on their high-quality content. , anti-trend spirit, vigorous vitality, fully Taiwan Phone Number List demonstrated its commercial potential as an "interest group". 1. Why is “whether Chinese podcasts are Taiwan Phone Number List profitable” into controversy In this discussion on "Whether Chinese podcasts are profitable in 2020", neither party to the dispute came up with reliable data. The latter directly stated that "whether a podcast can be profitable or not depends entirely on its data performance.