Analysis of User Trust Reconstruction Strategies for Fliggy After Bundled Sales Issues
Unlock More Features
Login to access AI-powered analysis, deep research reports and more advanced features
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
Related Stocks
Based on the information searched, I now prepare a professional analysis report for you.
On August 5, 2025, the Guizhou Provincial Administration for Market Regulation collectively summoned five online travel platforms including Ctrip, Tongcheng, Meituan, and Fliggy for a talk, pointing directly to potential behaviors such as “forced exclusive cooperation”, using technical means to interfere with merchant pricing, price fraud, and abuse of market dominant position [1][2]. The talk required the platforms to immediately conduct self-inspections and rectifications, prohibit price fraud, price gouging, and price collusion, and strictly ban illegal acts such as implementing unfair high prices and restricted transactions by abusing market dominant position.
On the Black Cat Complaint platform, the total number of complaints containing the keyword “Fliggy” exceeds 116,000, covering aspects such as bundled consumption, false advertising, refund difficulties, platform price adjustments, and appeals for difference compensation [3]. This data reflects that the systemic problems in Fliggy’s user services have attracted widespread attention.
Based on consumer complaints and media reports, the bundled sales problems existing on the Fliggy platform are mainly reflected in the following aspects:
As an online travel platform under Alibaba Group, Fliggy relies on super traffic portals such as Taobao and Alipay, and has more than 320 million member resources [5]. However, the platform’s profit model relies excessively on commission income and the promotion of value-added services, leading to the acquiescence or even encouragement of behaviors such as bundled sales under KPI pressure. There is a fundamental conflict between this “volume-oriented” business logic and user experience.
From an industry perspective, the explicit base commission rate for OTA (Online Travel Agency) platforms is approximately 10%-15%, but merchants need to pay additional hidden fees to obtain better traffic exposure positions, resulting in comprehensive commission expenses possibly reaching close to 40% [6]. Under the pressure of high commissions, the platform tends to increase revenue sources through methods such as bundled sales, further exacerbating conflicts with consumers and merchants.
The core issue with bundled sales is the systematic infringement of consumers’ right to know and right to choose. In accordance with the Law on the Protection of Consumer Rights and Interests and the E-Commerce Law, consumers have the right to independently choose goods or services, and operators shall not force the bundling of goods or services. However, through methods such as pre-checked options, hidden prompts, and small pop-ups, the platform causes consumers to purchase unnecessary value-added services without their awareness. Such behavior not only violates laws and regulations, but also seriously damages the foundation of users’ trust in the platform. When consumers realize they have “been charged without consent”, negative word-of-mouth spreads rapidly through social media, forming a multiplier effect of the trust crisis.
Since 2025, the state has significantly strengthened supervision over the platform economy. In September 2025, the General Office of the State Council issued a notice clearly requiring online travel platforms not to infringe on tourists’ rights and interests through behaviors such as “implementing price discrimination against repeat users via big data”, false advertising, and bundled sales [1][2]. The revised Anti-Unfair Competition Law of the People’s Republic of China launched in 2025 has included typical “involutionary” behaviors such as platforms forcing merchants to sell below cost and abusing rules to conduct fake transactions into its regulatory scope [1][2]. In December 2025, the State Administration for Market Regulation clearly stated at a national work conference that in 2026, it will “strengthen anti-monopoly and anti-unfair competition law enforcement, and thoroughly rectify ‘involutionary’ competition” [1][2]. Against this background, Fliggy is facing not only the pressure of rectification from a single regulatory talk, but also the urgent requirement for transformation of the entire industry’s development model.
Fliggy should join hands with major platforms such as Ctrip, Meituan, and Tongcheng to jointly initiate a self-regulation convention for the online travel industry, committing to canceling bundled sales, prohibiting “forced exclusive cooperation”, and protecting merchants’ pricing rights, among other things. Industry self-regulation is not only a response to regulatory pressure, but also a rational choice to safeguard the long-term development of the industry.
Proactively access the platform economy monitoring system established by regulatory authorities, and report core data such as commission rates, price changes, and complaint handling in real time. Through data sharing, help regulatory authorities identify and prevent illegal behaviors more accurately, demonstrating the platform’s willingness to comply with regulations.
Cooperate with consumer associations and media to carry out popularization activities on online travel consumption knowledge, helping users identify and prevent consumption traps. At the same time, establish convenient user feedback channels to encourage users to supervise the platform’s behaviors, forming a pattern of social co-governance.
Fliggy being summoned for a regulatory talk due to bundled sales issues is both a crisis and an opportunity. Currently, users’ trust in online travel platforms is generally under pressure, and the industry is facing a transition point from unregulated growth to standardized development. If Fliggy can take this opportunity to completely abandon short-sighted behaviors that harm user interests and carry out systematic reforms in multiple dimensions such as business model, organizational culture, and technology application, it can not only repair damaged user trust, but also gain a first-mover advantage in the industry reshuffle.
Trust reconstruction is a long-term process that requires the platform to demonstrate sufficient sincerity and patience. The increase in costs and decline in revenue in the short term are necessary costs; in the long run, user trust is the platform’s core competitive barrier. As an old saying goes, “He who wins the people’s hearts wins the world”. In the field of the platform economy, those who win user trust can move forward steadily and far.
[1] 21st Century Business Herald - “Targeting ‘Anti-Involution’: Ctrip Filed for Investigation by the State Administration for Market Regulation” (https://www.21jingji.com/article/20260114/herald/c586d9e945470e7b229deacdfd30b794.html)
[2] Sina Finance - “Forcing ‘Forced Exclusive Cooperation’, Seizing Pricing Power: Ctrip Investigated for Anti-Monopoly for ‘Exploiting’ Merchants” (https://finance.sina.com.cn/stock/marketresearch/2026-01-16/doc-inhhnuux3965879.shtml)
[3] Data Statistics from Black Cat Complaint Platform
[4] NetEase News - “Another Giant Exposed! The Industry’s Dark Secrets Are Fully Revealed” (https://www.163.com/dy/article/KJG5JDHR05568181.html)
[5] Baidu Baike - “Fliggy” (https://baike.baidu.com/item/飞猪/8957901)
[6] Relevant Reports from Southern Metropolis Daily
[7] Caifuhao - “Comprehensive Breach of the Triple Bottom Line: Who Is Warned by Ctrip’s Investigation?” (https://caifuhao.eastmoney.com/news/20260115110815026428380)
燃气取暖与电取暖经济性比较分析报告
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.