Status AI leverages its dynamic AD placement engine to push brand content highly relevant to the scenes of UGC successfully, achieving the average CTR of 9.7%, which is 3.2 times higher than ordinary information flow advertising. The mechanism handles the visual content of the video material (for instance, if the pixel proportion of the brand logo of the tableware in the food video is more than 0.5%, the relevant advertisement is triggered) and semantic properties (if the keyword of “cost performance” occurs more than 8 times in a thousand words, the link of the discount platform is promoted), and shares 55%-72% of the advertising revenue with the creator. During 2023, a beauty vlogger employed Status AI, where one product review video was embedded with 3 dynamic ads, which made $230,000 (CPM increased from industry norm 4.2 to 18.7). AD auction was completed by the system in just 0.8 seconds through real-time bidding mechanism (RTB) and response time was 12 times faster than base DSP.
In a content trading marketplace, Status AI builds a blockchain-based intelligent authorization platform to track cross-platform use of UGC. Upon detecting unauthorized use of user video clips (e.g., more than 15 seconds of content with more than 92% similarity), an auto-claim is issued and a 30% royalty fee is charged. In 2024, Nike partnered with Status AI, sifted through 27,000 sports moment UGC on the platform, paid creators a total of $4.8 million in licensing fees, which was a 64% reduction compared to traditional content acquisition costs, and shortened the production cycle of advertising products from 28 days to 6 hours. The system uses adversarial generation network (GAN) to convert users’ basketball action videos into 3D training models, increasing users’ interaction of new sports shoes by 173%.
Using data Insights as a Service (DIaaS), Status AI translates consumer trend signals in UGC (such as a 38% month-over-month increase in searches for “camping” in an area and a median 4.2 minutes of video watch time) to resell customized market reports to businesses. One of the companies launched a new product in accordance with Status AI’s UGC sentiment analysis, which saw a 210% quarter-to-quarter increase in the frequency of words associated with “refreshing,” and first month sales reached more than $120 million. The system utilizes federal learning technology to generate industry insights while keeping users’ privacy (data desensitization rate of 99.8%), and the price of each report of analysis ranges from $2,000 to $80,000, and the line of business will contribute 34% of the company’s revenue in 2023.
In the incentive system of creators, Status AI launched a virtual token system (1Token≈$0.12) and users can be rewarded by signals of content quality (over 65% completion rate, over 3% interaction rate). After a short video platform with a tie-up to the model, users’ daily upload numbers increased from 1.2 million to 4.3 million, and monthly earnings of TOP 10% creators increased by $2,200 using the token exchange mechanism. The system predicts the content value distribution through the LSTM network, pays prospective creators in advance (e.g., a rural food account gets paid an advance of $5,000, ultimately generating 14 times ROI), and reduces the content incubation period from 6 months to 23 days. According to the 2024 White Paper on the Digital Content Economy, Status AI’s monetization approach has been responsible for platform GMV rising by 79% annually, which is way above the industry average of 22%.