Failure Analysis
Sesame's strategic failure can be attributed to several factors. Firstly, the market was not fully ready for a complete transition to digital access systems,...
Sesame \USA
Sesame was a startup that aimed to provide on-demand secure access management for physical spaces. The company offered a cloud-based platform that allowed users to manage and control access to buildings, offices, and other secure locations through a mobile app. The core problem it solved was the cumbersome and outdated key and card systems used for access management, replacing them with a more modern and flexible digital solution. Its value proposition was rooted in convenience, security, and real-time control over access permissions, tailored primarily for enterprises and property managers.
Discover the reason behind the shutdown and the market before & today
Market Analysis
Today, the access management industry is characterized by smart, IoT-enabled solutions that offer seamless integration with existing security infrastructure. Companies like Kisi and Proxy...
Startup Learnings
Insight 1: Early adoption requires market education; understanding customer readiness is crucial. Insight 2: Over-reliance on hardware can impede scalability; focus on software-centric models....
Market Potential
The total addressable market (TAM) for digital access management has grown with the proliferation of IoT and smart buildings. Today, companies like Kisi and...
Difficulty
The description indicates that Sesame is focused on providing a modern solution for access management, suggesting ongoing operations.
Scalability
The scalability of Sesame's model was hindered by the need for physical hardware installations and the associated costs. Unit economics were challenged by the...
Rebuild & monetization strategy: Resurrect the company
Execution Plan
Phase 2
Step 2: Distribution/Validation strategy via partnerships with co-working spaces.
Phase 3
Step 3: Growth loop through viral marketing focusing on security enhancements.
Phase 4
Step 4: Moat strategy by developing proprietary predictive algorithms.
Monetization Strategy
The revenue model would include a subscription-based service for enterprises, with tiered pricing based on the number of access points and AI features. Additionally, offer integration services and premium support packages for large-scale deployments. The pricing strategy will focus on demonstrating cost savings and efficiency over traditional access systems.
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