Micro-whales tap into the value of video resources to open a new era of deep processing of smart TVs

As a passionate football fan, every August, when the UEFA Europa League kicks off, I always find myself torn between different platforms to catch the action. Back in 2015, I used New England Sports, while in 2016, I switched to Le Sports. This year, however, I decided to recharge my PPTV JuLi Sports membership since most sports broadcasting rights are now under their control. The rapid turnover of sports broadcasting rights has made it tough for loyal sports fans like me to stay consistent with a single platform. On the flip side, it's equally challenging for sports platforms to build a stable user base. Similar challenges arise for major video sites, where the flow of content can drastically alter their user demographics. A viral show or a trending series could easily lead to user attrition. I believe this isn't just limited to video platforms. For Internet TV manufacturers, user loyalty hinges on the trust in their brand or the richness of the video content they offer. Without compelling content, can a brand alone sustain user engagement? One crucial question remains: what can truly sway consumers? When it comes to video content, Youku, iQiyi, and Tencent dominate the landscape. These giants thrive thanks to backing from BAT, allowing them to spend freely and dominate competitors. According to the latest financial reports from BAT, iQiyi's losses have directly impacted Baidu's operating margins, reducing it by 11.5 percentage points in the second quarter. While Tencent didn’t disclose exact figures, they acknowledged that achieving revenue and expenditure balance for their video services will take considerable time. Similarly, Alibaba’s digital media and entertainment division reported a loss of 1.748 billion yuan, largely attributed to Youku. These three giants continue to burn cash primarily because consumers remain loyal to content rather than the platform itself. To keep viewers engaged long-term, constant investment in content is essential. This understanding has driven many Internet TV manufacturers to adopt a convergent video strategy. Xiaomi TV, for instance, boasts aggregated resources from over 100 video websites. However, for the vast majority of consumers, the appeal still lies in premium content, which could be available on platforms like millet, PPTV, Skyworth, or TCL. This makes it hard for any manufacturer to establish a distinct competitive edge. Even giants like BAT struggle to cover all bases. They've turned their focus upstream, investing in creating, co-producing, or acquiring exclusive content. Examples include Tencent’s "Blow the Ghost" series, iQiyi’s "Infernal Affairs" series, and TVB’s exclusive partnerships. Such efforts enhance platform value and boost user retention. However, maintaining exclusive content requires significant financial backing. A broken capital chain could nullify years of effort overnight. Consider Le Sports, which rapidly gained traction through aggressive copyright acquisitions. Within a year, it captivated fans like me. But once its funding dried up, users defected to other platforms almost instantly. Simply aggregating content or purchasing copyrights isn't enough. So, how can most Internet companies retain their audience? Perhaps the answer lies in deep content processing. According to the "2016 Smart TV APP Application Distribution Report" by Dangbei Market, consumers tend to download multiple video apps to cater to their preferences. Clearly, merely amassing content isn't an effective retention strategy. My experience with platforms like LeTV, Skyworth CoolTV, and Little Whale TV suggests that convergent video plus deep content processing might be the right approach. Little Whale TV aggregates quality content from platforms like Tencent Video, Mango TV, TVB, and BBC while performing secondary processing to maximize resource value. For instance, instead of traditional genre classifications like "Action," "Romance," or "Horror," Little Whale TV uses deep learning to categorize films based on themes and trends. Movies like "Tibetan Password," "Alternative Cat and Mouse Games," and "Freestyle Can't Stop" are grouped accordingly, making it easier for families to find what they want quickly. Little Whale TV also features popular internet content, including high-click-rate clips like "Amateur Divergence Mistakes" and "Baby's Various Facial Expressions." By expanding content boundaries, it appeals to younger audiences and trends. Additionally, the platform supports VR content, offering immersive experiences like VR concerts. From deep content processing to introducing diverse entertainment and VR technology, Little Whale TV has carved out a unique niche. Beyond content processing, fostering two-way communication with users is vital. Activities like "Whale Amusement Park Tour - Puzzle Solving Contest" exemplify innovative ways to engage viewers. During August 21-27, users could participate via the "Micro-Whale Home" or "Children Channel" to solve puzzles and win prizes, including Little Whale TVs. While simple, these interactions signify progress in smart TV-user relationships, akin to AI's impact. Furthermore, initiatives like the "I Want to Eat Chicken" campaign bridge online and offline experiences. Watching a character enjoy chicken on-screen and ordering delivery via voice command blurs the lines between viewing and living the moment—a glimpse into the future of retail. Smart TVs, being the largest screens in homes, hold immense potential for both content and user interaction. Traditional approaches may have fallen short, but pioneers like Little Whale TV are boldly exploring broader use cases. In my view, debates about following Xiaomi's convergence model or LeTV's exclusivity path are outdated. Even Alibaba, once staunchly committed to one model, is embracing online-offline integration. Shouldn't smart TV manufacturers rethink their strategies? Little Whale TV stands out with its independent content team. While many manufacturers rely on AI-driven recommendations, most still categorize content conventionally. This highlights the limitations of current AI algorithms. A blend of human insight and intelligent algorithms, focusing on uncovering video content's true value, may become the core competitive edge for smart TV manufacturers moving forward. Smart TV information networks like Sofa Butler in China provide valuable resources for enthusiasts, covering everything from hardware to software. These platforms foster communication and serve as hubs for industry insights.

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