Sasa Ride - Pricing Strategy Research
Research on appropriate pricing models for Sasa Ride ride-hailing platform.
Research Objective
Determine optimal pricing strategy for Sasa Ride by analyzing successful ride-hailing pricing models, particularly Bolt's approach, to establish competitive and sustainable pricing for customers.
Bolt Pricing Model Analysis
Core Pricing Components
- Base Fare: Minimum charge for every trip
- Time Fare: Charge based on ride duration (per minute)
- Distance Fare: Calculated per kilometer traveled
- Additional Fees: Airport charges, tolls, etc.
Commission Structure
- Bolt Commission: 15-20% (vs Uber's 25%)
- Driver Earnings: 80-85% per ride
- Regional Variations: Some markets capped at 18% (e.g., Kenya)
Surge Pricing Mechanism
- Trigger Factors: High demand, rush hours, bad weather, low driver availability
- Surge Range: Typically 1.5x-2x (lower than Uber's surge rates)
- Dynamic Pricing: Algorithm-based with recent introduction of passenger bidding system
- 2024 Innovation: Passengers can offer higher fares to increase ride acceptance probability
Key Insights for Sasa Ride
- Competitive Commission: Lower commission rates attract more drivers
- Balanced Surge: Moderate surge pricing maintains customer satisfaction while incentivizing drivers
- Loyalty Programs: Targeted discounts for regular customers
- Driver Incentives: Weekly bonuses for performance (30+ rides, low cancellation rates)
Recommended Pricing Framework for Sasa Ride
1. Commission Structure
- Target 15-18% commission (competitive with Bolt)
- Higher driver retention through better earnings
- Consider local market regulations
2. Surge Pricing Strategy
- Implement moderate surge (1.5x-2x maximum)
- Clear communication to customers about surge reasons
- Consider passenger bidding for high-demand periods
3. Base Pricing Model
- Base fare: Fixed minimum charge
- Time rate: Per-minute charge during trip
- Distance rate: Per-kilometer rate
- Service fee: Platform maintenance fee
Next Steps
- Analyze local market transportation costs
- Survey target customers for price sensitivity
- Test pricing models in pilot markets
- Monitor competitor pricing changes
- Develop dynamic pricing algorithm
Resources
- Bolt Analysis: Bolt Pricing Explained
- Market Research: Local transportation pricing data
- Competitor Analysis: Uber, local ride-hailing services