The authenticity of platform promotion activities needs to be strictly verified. The 2023 live streaming industry research report shows that the average median discount for the whole year is 22.7%, with peak limited-time activities reaching 45%, while the probability of abnormal discounts labeled as “70% off” is less than 0.3%. For example, the official historical promotion data of Bigo Live indicates that the maximum discount rate for quarterly activities in 2022 was 50% (lasting for 72 hours). Such activities required a user point threshold value of 5,000 points, and the net discount after converting the actual payment cost was only 33%. According to the 2024 anti-fraud case database data from the Cyberspace Administration of China, the amount involved in the false “70% discount proxy recharge” black industry channel exceeded 30 million RMB, and the loss recovery rate of the victims was less than 15%, highlighting the importance of compliant recharge. The current platform risk control system scans abnormal discount codes in real time. The misjudgment rate is controlled at 0.1%, and the identification accuracy of the unofficial recharge Bigo channel reaches 99.8%. Users choosing the official entry can avoid 98% of the fraud risk.
The technical principles of black and gray industries lead to a price deviation value of more than 60%. Black producers obtain illegal funds by fraudsters using credit cards (with a single-card fraud success rate of 12%), and support false discounts by using exchange rate arbitrage (cross-border settlement price difference of 6.8%) or money laundering links (with a capital loss rate of 25%) when recharge bigo. In the “Jingyun Proxy Recharge” case cracked by the Guangzhou police in 2023, the criminal gang used 138 black cards to recharge 5,000 accounts on their behalf, claiming a “68% discount”, but the actual cost transfer rate reached 90%. Eventually, the frozen capital chain involved 2 million US dollars. The official channel payment channel handling fee benchmark is 2.9%+0.3 US dollars per transaction. If there is a 70% discount, it means the platform has to bear a 67% loss rate, far exceeding the 5% profit margin red line for sustainable operation in the industry (refer to the 2022 financial report data of YY Inc.).
The user behavior data model shows that among the user group searching for “Bigo 30% off recharge “, 82.5% are aged between 18 and 25. Among them, 63% have encountered false discount traps, with an average loss amount of 50 US dollars (standard deviation ±30 US dollars). The platform’s coupon distribution strategy follows a consumption frequency model: The probability of users with an average monthly consumption of less than $20 getting a 25% discount is 40%, while the probability of premium members (with an annual consumption of over $1,000) getting a 45% discount is only 15%. Genuine promotional activities need to meet multiple trigger mechanisms, such as a 15% discount coupon (drop rate 7%) with a probability of dropping after continuous login for 7 days, or a $20 cashback for a $100 recharge during festival activities (the proportion of participating users is limited to the top 10%).
In terms of security and compliance, the risk probability of third-party recharging violating Article 24 of the Cybersecurity Law is 100%, and the number of cases where accounts are banned as a result has increased by 120% annually. The platform adopts blockchain transaction traceability technology. The response time for detecting abnormal recharge behaviors is only 0.3 seconds. In Q3 2023, there were a total of 3,127 asset zeroing events caused by unofficial recharge Bigo (an increase of 70% compared to Q2). The FTC Consumer Alert Report in the United States indicates that the average loss rate induced by false discounts is $65 per transaction, and the conversion rate of secondary fraud is as high as 45%. It is recommended that users operate through the in-app payment system of the official application. This channel has passed the PCI DSS 3.2.1 security certification. The transaction encryption strength reaches 256-bit, and the occurrence rate of risk events per million transactions is less than 1.2 times, effectively ensuring the security of digital assets.
