体验经济火热升温,主打玩乐生意的 Klook 为何依然难赚钱?
Summary
This 声动早咖啡 episode uses Klook to explain why strong demand and booking growth do not automatically produce profits in destination activities. Its durable contribution is Destination-Experience Marketplace Economics: tours, attraction tickets, transport, and cultural activities combine fragmented local supply, weak standardization, late-forming demand, price comparison, cross-border localization, and exception-heavy support, so scale can expand operating and marketing work instead of rapidly diluting it.
The opening roundup adds source-scoped updates on media-driven destination demand, Airbnb expanding from accommodation toward services and hotels, U.S. AI-safety and copyright disputes involving OpenAI and Microsoft, and Tesla reallocating proposed factory capacity from Cybertruck toward CyberCab.
Key Claims
- The source says Klook grew from a 2014 attempt to make hard-to-find local activities bookable across language and payment barriers into a platform covering more than 4,000 destinations.
- Klook reportedly completed more than 60 million bookings in the 12 months through September 2025, served more than 10 million users, and generated over $400 million of 2024 revenue, yet remained unprofitable and withdrew its U.S. listing application.
- The episode attributes the profitability gap partly to nonstandard supply: pickup, food, guides, meeting points, language, cancellation, weather, and local-provider capabilities vary by product and destination.
- Experience demand often forms later than demand for flights or hotels, so the platform spends on inspiration and creator-led discovery before users begin an explicit search.
- Transparent products such as theme-park tickets and rail passes invite comparison, discounts, and subsidies that can compress platform margin.
- The source reports that sales and marketing expense reached $179 million in the first three quarters of 2025, or 7.8% of gross booking value, versus an episode-cited 4.4% comparison for Booking.
- Klook reportedly automated about two-thirds of customer inquiries and outsourced some support, but the episode’s complaint cases show how unclear listings, delayed ticketing, refunds, and changing entitlements can damage trust and add compensation cost.
- A source-reported concentration of roughly 80% of business in Asia-Pacific gives Klook local supply knowledge while increasing exposure to regional policy, currency, and travel-demand shocks.
- The opening news item says Airbnb is adding standalone photography, rental-car, grocery-delivery, and boutique-hotel services while planning an AI travel agent, although its CEO is reported to believe travelers still want to browse and compare.
- The Tesla item says the company plans to stop Cybertruck production around mid-2027 and expand CyberCab capacity; the production, sales, and fleet figures remain episode-reported rather than independently verified here.
Key Quotes
“即使订单持续增加,这类依赖线下履约的业务也难以像纯数字产品一样迅速摊薄成本。” - the episode’s synthesis of the scale problem.
“自动化和外包能够降低客服成本,但面对高度非标准化的体验产品时,也可能放大信息传递与责任协调的问题。” - qualification on support automation.
Connections
- Klook and Destination-Experience Marketplace Economics - main company case and the episode’s durable operating-economics synthesis.
- Online Travel Agency and AI Travel Planning - broader booking-platform and planning-layer context.
- Service Marketplace Quality Control and Trust As Business Asset - quality, support, and repeat-purchase consequences of variable offline fulfillment.
- Path To Profitability - distinction between booking growth and durable profit.
- Airbnb and Booking Holdings - adjacent accommodation-led platforms expanding or competing in local experiences.
- Ctrip / Trip.com Group, Fliggy, and Meituan - Chinese travel and local-services competitors named by the source.
- Tesla and CyberCab - factory-allocation and robotaxi side item.
- OpenAI and Microsoft - AI-safety and copyright-litigation side item.
Contradictions
- No direct contradiction was adopted.
- The episode qualifies a simple marketplace scale-economy story: more destinations and orders may also require more supplier onboarding, localization, marketing, exception handling, refunds, and support.
- Revenue, bookings, users, losses, expense ratios, automation rates, regional concentration, competitor comparisons, complaint accounts, and future product or factory plans are source-reported and not independently verified by this wiki.