According to the third quarter financial report, Kuaishou's daily consumption of AIGC marketing materials reached RMB 20 million in that quarter. In September, Wang Jianwei also said that at present, the average daily luxembourg whatsapp number data 5 millionvideo materials generated by Magnetism Kaichuang have exceeded 100,000.
It is worth noting that today on the Kuaishou platform, AI big models are not only used in the above-mentioned scenarios such as intelligent production and intelligent customer service. Kuaishou is also accelerating the use of AI big models and other intelligent technologies to reshape the entire business operation chain around the production, understanding, distribution and acceptance of advertising materials.
For example, regarding the most critical link of "delivery" to break the traffic dilemma in online marketing, Kuaishou is also helping brands and merchants to continuously optimize delivery efficiency through the innovation and upgrading of marketing products and tools.
For external-loop advertisers, that is, advertisers outside the site, Kuaishou Magnetic Engine UAX's fully automatic delivery product integrates multi-dimensional functions such as intelligent infrastructure, intelligent creativity, intelligent regulation and intelligent optimization, which can achieve full-link optimization and efficiency improvement, bringing more efficient delivery effects.
According to the financial report, in the third quarter of this year, the penetration rate of UAX in various industries continued to increase steadily, and the total consumption of UAX by customers accounted for about 50% of the total external circulation marketing consumption.
In July this year, based on the fully automatic delivery capability, Kuaishou Magnetic Engine launched a new product, "Periodic Stable Delivery", for small and medium-sized businesses/advertisers with limited budgets. During the delivery cycle, after the customer/agent completes the basic creation, "Periodic Stable Delivery" can automatically manage delivery, reduce manual intervention, and further release the delivery optimization capability of the system, achieving a more stable cost and more continuous delivery state.
