MoonFox Analysis | The Late Entry of Kwai's Kling, Can 'AI-Powered Short Video' Become Its New Breakout Opportunity
Kwai's Kling AI Video Model has launched large-scale user testing, sparking a surge in AI-generated creative content. The model supports text-to-video, image-to-video, and video continuation, focusing on user experience. Web UV for Kling showed an upward trend, approaching 100,000 DAU in July. The Kwaiying App's weekly average DAU increased by about 1 million compared to early June.
User feedback has been positive, with emotions centered on curiosity, excitement, anticipation, and satisfaction. Over 50% of web users are under 34 years old. The concept of 'AI-Generated Short Videos' may breakthrough, presenting a different approach from traditional content creation. This could lead to the fusion of conventional and unconventional, virtual and real, and traditional and modern approaches in content development.
Il Modello Video AI di Kling di Kwai ha avviato un test utente su larga scala, innescando un incremento dei contenuti creativi generati dall'AI. Il modello supporta il testo in video, le immagini in video e la continuazione dei video, con un focus sull'esperienza dell'utente. Le visualizzazioni web per Kling mostrano una tendenza in crescita, avvicinandosi a 100.000 DAU a luglio. La media settimanale di DAU dell'App Kwaiying è aumentata di circa 1 milione rispetto agli inizi di giugno.
Il feedback degli utenti è stato positivo, con emozioni incentrate su curiosità, eccitazione, attesa e soddisfazione. Oltre il 50% degli utenti web ha meno di 34 anni. Il concetto di 'Video Brevi Generati da AI' potrebbe avere un grande impatto, presentando un approccio diverso rispetto alla creazione di contenuti tradizionali. Questo potrebbe portare alla fusione di approcci convenzionali e non convenzionali, virtuali e reali, tradizionali e moderni nello sviluppo dei contenuti.
El Modelo de Video AI de Kling de Kwai ha lanzado pruebas de usuario a gran escala, provocando un aumento en el contenido creativo generado por IA. El modelo soporta la conversión de texto a video, de imagen a video, y la continuación de video, centrándose en la experiencia del usuario. Las visualizaciones web para Kling mostraron una tendencia al alza, acercándose a 100.000 DAU en julio. El promedio semanal de DAU de la App Kwaiying aumentó en aproximadamente 1 millón en comparación con principios de junio.
Los comentarios de los usuarios han sido positivos, con emociones centradas en la curiosidad, la emoción, la anticipación y la satisfacción. Más del 50% de los usuarios web tienen menos de 34 años. El concepto de 'Videos Cortos Generados por IA' podría ser revolucionario, presentando un enfoque diferente al de la creación de contenido tradicional. Esto podría llevar a la fusión de enfoques convencionales y no convencionales, virtuales y reales, y tradicionales y modernos en el desarrollo de contenido.
콰이의 클링 AI 비디오 모델이 대규모 사용자 테스트를 시작하며 AI 생성 창작 콘텐츠의 급증을 촉발했습니다. 이 모델은 텍스트-비디오, 이미지-비디오 및 비디오 연속성을 지원하며 사용자 경험에 중점을 두고 있습니다. 클링 웹은 상승세를 보이고 있으며, 7월에 100,000 DAU에 가까워졌습니다. 콰이잉 앱의 주간 평균 DAU는 6월 초에 비해 약 100만 증가했습니다.
사용자 피드백은 긍정적이었으며, 감정은 호기심, 흥미, 기대감 및 만족으로 집중되었습니다. 웹 사용자 중 50% 이상이 34세 이하입니다. 'AI 생성 단편 비디오'라는 개념은 돌파구를 마련할 수 있으며, 전통적인 콘텐츠 제작과는 다른 접근 방식을 제시할 수 있습니다. 이는 콘텐츠 개발에서 전통적 및 비전통적, 가상 및 현실, 그리고 현대적 및 전통적 접근 방식의 융합으로 이어질 수 있습니다.
Le Modèle Vidéo AI de Kling de Kwai a lancé des tests utilisateurs à grande échelle, entraînant une augmentation du contenu créatif généré par l'IA. Le modèle prend en charge le passage de texte à vidéo, d'image à vidéo et la continuation de vidéos, en mettant l'accent sur l'expérience utilisateur. Les vues web pour Kling montrent une tendance à la hausse, approchant 100 000 DAU en juillet. La moyenne hebdomadaire des DAU de l'application Kwaiying a augmenté d'environ 1 million par rapport au début juin.
Les retours des utilisateurs ont été positifs, avec des émotions centrées sur la curiosité, l'excitation, l'anticipation et la satisfaction. Plus de 50 % des utilisateurs web ont moins de 34 ans. Le concept de 'Vidéos Courtes Générées par IA' pourrait être révolutionnaire, présentant une approche différente de celle de la création de contenu traditionnel. Cela pourrait mener à la fusion des approches conventionnelles et non conventionnelles, virtuelles et réelles, ainsi que traditionnelles et modernes dans le développement de contenus.
Kwais Kling AI Video-Modell hat umfangreiche Benutzertests gestartet, was zu einem Anstieg an AI-generierten kreativen Inhalten geführt hat. Das Modell unterstützt Text-zu-Video, Bild-zu-Video und die Fortsetzung von Videos, wobei der Fokus auf der Benutzererfahrung liegt. Die Web-UV für Kling zeigte einen Aufwärtstrend, der im Juli 100.000 DAU näher kam. Der wöchentliche Durchschnitt der DAU der Kwaiying-App stieg im Vergleich zu Anfang Juni um etwa 1 Million.
Das Benutzerfeedback war positiv, mit Emotionen, die sich um Neugier, Aufregung, Vorfreude und Zufriedenheit drehten. Über 50 % der Webnutzer sind unter 34 Jahre alt. Das Konzept der 'AI-generierten Kurzvideos' könnte bahnbrechend sein und einen anderen Ansatz in der Erstellung von Inhalten bieten. Dies könnte zur Verschmelzung von konventionellen und unkonventionellen, virtuellen und realen sowie traditionellen und modernen Ansätzen in der Inhaltsentwicklung führen.
- Kling AI Video Model launched large-scale user testing, sparking increased AI-generated content
- Web UV for Kling approached 100,000 DAU in July
- Kwaiying App's weekly average DAU increased by about 1 million compared to early June
- User feedback is positive, with high levels of curiosity and excitement
- Over 50% of web users are under 34 years old, indicating strong appeal to younger demographics
- High trial costs for some AI video models reduce user interest in continuous experimentation
- Many AI video products are still in early stages of technical exploration, with usability needing improvement
I. AI Video Models' Delayed Arrival, Kwai Kling Takes the Lead To Reach a New Level
As a track in generative AI, AI video creation has garnered attention and significant investment from various sectors. According to incomplete statistics, over 30 AI video models and tools exist in
Additionally, some available AI video models face high trial costs, reducing user interest in continuous experimentation. For instance, Runaway's latest Gen3 version, despite its internationally leading generation quality, comes at a steep price of
Amidst the notable development pain points in AI video generation, Kwai Kling emerged, taking the lead in large-scale user trials. Launched at the beginning of last month, the Kwai Kling provides both web and mobile access points, with the mobile version requiring users to complete tasks within the Kwaiying App. It opened application-based testing, with numerous users already granted trial access and actively engaging in content creation. The model supports various AI video creation methods, including text-to-video, image-to-video, and video continuation, focusing more on user experience. According to data on SimilarWeb, after opening on June 6, the overall website UV for the Kling showed an upward trend. Entering July, the web UV continued to increase, with peak values approaching 100,000 DAU. On the mobile side, since both application and generation model are completed within the Kwaiying App, MoonFox iApp data reveals that from the second week of June, the weekly average DAU of Kwaiying App increased significantly. Particularly after the first week of July, the weekly average DAU increased by about 1 million compared to early June, indicating strong market enthusiasm for Kling
Changes in Monthly Active Users of Kwai Kling - Web Version in June-July (Partial) | ||
Date | Weekly Average DAU | Note |
6.06 | 41043 | Kwai Kling AI Video Model opens for testing |
6.13 | 43028 | |
6.25 | 56508 | Kwai Kling AI Video Model starts trending on social platforms |
7.06 | 84554 | |
Data Source: SimilarWeb; Data period: June 2024
Changes in Weekly Average DAU of Kwaiying App in June - July | ||
Date | Weekly Average DAU | Note |
10-16 June | 5.401 (million) | Kwai Kling AI Video Model opens for testing |
17-23 June | 5.421 (million) | |
24-30 June | 5.884 (million) | |
1-6 July | 6.450 (million) | |
Data Source: MoonFox iApp; Data Period: June 2024 - July 2024
II. Empowered by AI Video Models, Young Generations Spark a New Wave of "AI Creative-Generated" Content, Injecting a Novel Experience for Users
Following the launch of the Kling AI Video Model, "AI Creative-Generated" videos have recently gained popularity on video platforms. For instance, various themed AI video content has appeared on the Bilibili platform, with some videos surpassing millions of views and thousands of likes. These contents are mostly highly imaginative creations. The users contributing to these creative AI productions will likely be predominantly from younger user groups. According to data on SimilarWeb, over
User Composition of Kwai Kling AI Video Model - Web Version | |
Gender Distribution | Percentage |
Male | 72.7 % |
Female | 27.3 % |
Age Distribution | |
Aged 18-24 | 19.0 % |
Aged 25-34 | 36.0 % |
Aged 35-44 | 21.0 % |
45 years old and above | 24.0 % |
Data Source: SimilarWeb; Data Period: June 2024
From the user feedback and evaluations perspective, enthusiasm for the Kling AI Video Model is currently high. We analyzed social media user comment data related to the Kling AI Video Model, excluding official accounts, influencers, and KOLs, retaining only ordinary user comment data. We found that overall, users hold a positive attitude towards the current Kling AI Video Model. User emotions are mainly concentrated in four categories: curiosity, excitement, anticipation, and satisfaction. Users exhibit high levels of pleasure and arousal towards the Kling AI Video Model. The high arousal level also indicates that compared to current content types, the Kling AI Video Model is more capable of activating users' psychological enthusiasm and willingness to act, suggesting that more users will be willing to try using and viewing related content in the future.
Emotional Analysis of Kwai Kling AI Video Model User Evaluations | |
Emotion Type | Percentage |
Curiosity | 45.0 % |
Excitement | 31.8 % |
Anticipation | 12.7 % |
Satisfaction | 5.5 % |
Wait-and-see | 9.1 % |
Data Source: MoonFox Big Data Analysis; Data Period: June 2024
III. The Concept of "AI-Generated Short Videos" May Break Through in the Future, Presenting a Different Development Approach from Traditional Content Creation
How AI generation can achieve true implementation has been a key concern across various sectors. Due to factors such as hallucination issues, many current AI applications still face retention problems. As a subdivision within this field, we believe AI video creation has the potential to gain further user recognition on the usage end in the future.
Drawing from the experience of the previous round of PC and internet development, the focus on AI is not just about the efficiency revolution but also about realizing imagination. Taking QQ as an example, the internet-era QQ provided a vast space for imagination, such as QQ Space, QQ Show, emoticons, and other creative designs. Compared to traditional content at the time, the experience was quite exceptional. Behind online social interaction, there was actually a large number of novel content experiences supporting it, not just simple efficiency improvements. Similarly, current AI virtual social interaction applications with daily user engagement times of several dozen minutes follow the same principle. On the other hand, entertainment content, compared to efficiency tools, inherently has broader coverage and stronger user stickiness in terms of experience.
However, in the AI era, we believe that the "novelty" to be embodied in video content creation differs from traditional interpretations. In a situation where user interests are relatively stable and user interest circles are very distinct, breakthroughs are necessary to refresh the experience. Specifically, we believe there might be three aspects: The fusion of conventional and unconventional, the integration of virtual and real, and the blend of traditional and modern, thereby integrating with the real world to capture user interest. Secondly, while the current high cost of AI video creation is a fact, using AI for large-scale generation of long videos may not be the short-term implementation direction. However, generating short videos or integrating with existing video segments is quite possible. AI short videos might become a direction where AI video models can be practically implemented in the near future.
A century ago, the earliest silent black-and-white films were very limited in duration due to cost constraints at the time. For example, the Lumière brothers' The Arrival of a Train was only 50 seconds long. However, when it premiered, its realistic portrayal left a deep impression on the entire audience, thus propelling a massive film industry. A century later, the AI era may potentially guide creators to explore more ideas that are difficult to realize with traditional content, opening up a new approach to video creation, which could have profound implications for future user content consumption.
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About us: Aurora Mobile (NASDAQ: JG) established in 2011, is a leading customer engagement and marketing technology service provider in China. Its business includes notification services, marketing growth, development tools, and data products. As its sub-brand, MoonFox Data is a leading expert in data insights and analysis services across all scenarios, aiming to help companies gain market insights and empower precise decision-making.
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