Leke Multi-Format Sports Space: 24-Hour Online Court Booking and Dynamic Pricing to Increase Turnover Rate
1) Membership and multi-session cards: Pre-collected fees from urban sports participants based on card type and validity
Key Fields
FIELD STAMPS📌 Background
With the deepening of the national fitness strategy and the inclusion of the sports economy in the government work report in 2026, the fitness industry is shifting from incremental expansion to existing inventory operations. Leke has replicated its 24-hour unstaffed fitness club model and fully online operational framework to multiple scenarios such as badminton courts, using time-shared dynamic pricing to absorb low-peak idle time slots and boost space efficiency. Within its system, the monthly membership renewal rate has reached over 70%, and the franchisee lease renewal rate exceeds 90% (according to brand public disclosures), with venue investors and franchisees undertaking the venue and renovation investments.
👤 Target Customers
Urban mass sports participants (drop-in guests, members) serve as the paying party; venue investors and franchisees bear the venue and renovation costs.
💰 Revenue Streams
1) Membership and multi-session cards: Pre-collected fees from urban sports participants based on card type and validity; 2) Court booking revenue: Time-based floating pricing for badminton courts and other venues, with discounted pricing during off-peak hours; 3) Personal training and coaching: Revenue sharing based on class hours and trainers; 4) Tournaments and cross-industry co-branding: Revenue sharing based on activity projects (opportunity item, no digital data available for this revenue stream yet).
🧮 Cost Structure
Venue rent and equipment depreciation, smart access control and lighting hardware investments, coaching class hour revenue sharing, online system R&D, and ground-push customer acquisition costs.
🛡️ Moat
Self-developed digital operation systems and scheduling/pricing algorithms, multi-format shared membership pools, and brand and scale effects brought by dense site distribution.
🔑 Keys to Success
- Integration of time-shared dynamic pricing algorithms with real idle data
- Cross-conversion of members across multiple scenarios
- Store density forming a network effect
⚠️ Risks
- Dynamic price cuts being perceived by members as price discrimination, triggering word-of-mouth risks
- High demand during prime hours and off-peak discounts squeezing each other
🏢 Cases
- Leke Sports: 24-hour online operation extended to badminton courts and other sports spaces
- Hangzhou Leke Badminton Court pilot dynamic pricing to increase turnover rate
📊 SWOT Analysis
Strengths
- 24-hour unstaffed operation significantly lowers labor costs
- A single system can be reused across multiple scenarios such as gyms and badminton courts
Weaknesses
- Low-price model results in thin single-store profit margins, relying on high turnover rates
- Heavy offline expansion places high demands on site selection and operations
Opportunities
- 2026 policies encourage revitalizing existing venues, supporting low-cost intelligent venues
- Mass sports participation continues to rise
Threats
- Large platforms such as Meituan control the traffic entry points for court bookings
- Small and medium-sized venues build private domain mini-programs to divert customer sources