Core Insights - The concept of "breaking ten thousand" has become a significant label for series, reflecting a shift in how audiences perceive and engage with content [1][2] - The emergence of "heat value" as a new metric for evaluating series performance indicates a transition from traditional viewership metrics to a more comprehensive understanding of audience engagement [2][5] Group 1: Evolution of Metrics - The transition from simple view counts to a multi-dimensional "heat value" system allows for a more nuanced understanding of audience preferences and interactions with content [2][10] - The "heat value" system is based on a complex model that captures various user behaviors, including viewing duration, interaction levels, and character preferences, providing a more holistic view of a series' performance [12][19] Group 2: Performance of Recent Series - Several series, such as "Chao Xue Lu" and "Yi Fa Zhi Ming," have achieved significant heat values, indicating a high level of audience engagement and content quality during the summer season [5][7] - The high frequency of series breaking the ten thousand mark reflects an overall improvement in content quality and a consensus within the industry regarding the value of heat metrics [7][9] Group 3: Industry Implications - The rise of heat values as a standard for measuring series performance suggests that platforms are increasingly focused on understanding user behavior to identify content that resonates with core audiences [9][10] - The heat value system encourages diverse content creation, allowing different types of series to find their unique audience without relying solely on traditional metrics [29][30] Group 4: Audience Perception and Adaptation - Viewers have begun to develop their own understanding of heat values across different platforms, leading to a shared language for discussing series performance [25][29] - The differentiation in heat values among platforms, such as iQIYI, Tencent, and Youku, has led to a more complex landscape where audiences interpret and compare series based on these metrics [24][25]