Mosabi: Gathering Forces for Social Change Custom Case Solution & Analysis

Evidence Brief: Mosabi Operational and Financial Data

1. Financial Metrics

• Revenue Model: Fees paid by Financial Service Providers (FSPs) for qualified leads and credit-scoring data. [Paragraph 8]
• Grant Funding: Initial operations supported by 1.5 million dollars in grants and seed investment. [Exhibit 1]
• User Acquisition Cost: Estimated at 1.50 dollars per active user in the Sierra Leone pilot. [Paragraph 12]
• Revenue per Lead: FSPs pay between 2.00 and 5.00 dollars for users who complete specific modules and meet risk profiles. [Paragraph 14]
• Operating Burn: Monthly expenses average 45,000 dollars, primarily driven by software development and local field agents. [Exhibit 3]

2. Operational Facts

• Platform: Android-based mobile application utilizing gamified lessons for financial literacy. [Paragraph 4]
• Content: 15 to 20 modules covering bookkeeping, savings, and credit management. [Paragraph 6]
• User Base: 120,000 registered users across Sierra Leone and Liberia as of the case date. [Exhibit 2]
• Staffing: 22 full-time employees; 12 in product development, 10 in regional operations. [Paragraph 19]
• Geography: Primary operations in Freetown, Sierra Leone, with recent expansion into Monrovia, Liberia. [Paragraph 3]

3. Stakeholder Positions

• Chris Maurice (CEO): Focuses on rapid geographic expansion to attract venture capital. [Paragraph 21]
• Kayode (CTO): Prioritizes technical stability and deeper data integration with FSP core banking systems. [Paragraph 23]
• Orange Money (Partner): Views Mosabi as a tool to increase mobile wallet activity but questions the long-term reliability of self-reported data. [Paragraph 25]
• Target Users: Resource-constrained entrepreneurs seeking capital but wary of formal banking fees. [Paragraph 7]

4. Information Gaps

• Churn Rates: The case does not specify the percentage of users who delete the app after receiving their first loan.
• Loan Performance: Lack of comparative data between Mosabi-vetted borrowers and traditional borrowers regarding default rates.
• Data Privacy: Specifics on regulatory compliance for cross-border data transfer in West Africa are absent.

Strategic Analysis: Scaling the Impact Engine

1. Core Strategic Question

• How can Mosabi transition from a grant-dependent pilot to a self-sustaining commercial platform without eroding its social mission?
• Should the firm prioritize geographic breadth to capture market share or technical depth to increase the value of its data?

2. Structural Analysis

The bargaining power of buyers (FSPs) is the primary structural constraint. FSPs control the capital Mosabi users need. Currently, Mosabi acts as a top-of-funnel filter, but its utility is limited by the lack of integration into FSP credit-decisioning engines. The threat of substitutes is low in the financial literacy space but high in the lead-generation space, where FSPs can use their own transaction data to identify high-potential borrowers. Supplier power is concentrated in mobile network operators who control data costs for the end-user.

3. Strategic Options

• Option 1: The Data Depth Strategy. Integrate Mosabi directly into FSP credit-scoring algorithms. This requires high technical investment but creates high switching costs for partners.
  • Rationale: Moves Mosabi from an optional lead source to a critical infrastructure partner.
  • Trade-offs: Increases technical complexity; slows down expansion into new markets.
  • Resources: Requires 4 additional senior data scientists and API specialists.
• Option 2: The Pan-African Expansion Strategy. Launch in Ghana and Nigeria immediately to achieve a user base of 1 million.
  • Rationale: Attracts Series A investors who prioritize user growth and market footprint.
  • Trade-offs: Risks operational fragmentation; dilutes focus on product quality.
  • Resources: Requires 2 million dollars in fresh capital and local country managers.
• Option 3: The Marketplace Model (Rejected). Shift to a B2C model where users pay for certification.
  • Rationale: Diversifies revenue away from FSPs.
  • Rejection Reason: Contradicts the mission of serving the unbanked who lack discretionary income; creates a barrier to entry for the most vulnerable.

4. Preliminary Recommendation

Mosabi should pursue Option 1. The current competitive advantage lies in the proprietary data generated through user engagement. Scaling geographically with a shallow product leaves the firm vulnerable to local competitors. Deepening the technical integration with FSPs makes Mosabi an essential part of the financial environment in West Africa, securing long-term revenue stability.

Implementation Roadmap: Operationalizing Data Integration

1. Critical Path

• Month 1-2: Audit current user data against FSP loan performance to validate the predictive power of gamified learning.
• Month 3-4: Develop standardized API protocols to allow real-time data sharing with the top three FSP partners in Sierra Leone.
• Month 5-6: Negotiate revised contracts with FSPs that include a success fee for repaid loans, moving beyond a simple lead-generation fee.
• Month 7-9: Pilot the integrated scoring model in a controlled market segment before full deployment.

2. Key Constraints

• Technical Friction: Many regional FSPs operate on legacy core-banking systems that do not easily support API integration.
• Data Cost: High mobile data prices in rural areas discourage users from completing longer, data-intensive modules.
• Regulatory Environment: Emerging data protection laws in West Africa may restrict how Mosabi shares user profiles.

3. Risk-Adjusted Implementation Strategy

Execution will fail if Mosabi assumes FSPs will handle the technical integration. Mosabi must provide a plug-and-play solution. The plan includes a 20 percent time buffer for API development to account for the lack of technical documentation at partner banks. If API integration stalls, the fallback is a batch-processing model where data is exchanged weekly via secure file transfer, ensuring the strategy moves forward despite technical hurdles.

Executive Review and BLUF

1. BLUF

Mosabi must pivot from a volume-based lead generator to a high-value data analytics partner. The current model of charging for user leads is a commodity business with low margins and high churn risk. By integrating its behavioral data directly into the credit-scoring engines of Financial Service Providers, Mosabi creates a durable competitive advantage. This shift requires pausing geographic expansion in favor of technical depth. Success depends on proving that Mosabi users default less frequently than the general population. If this correlation is validated, Mosabi becomes the primary gateway for the unbanked to enter the formal economy. Failure to integrate will result in Mosabi being bypassed by mobile network operators who already possess superior transaction data. Focus resources on technical integration in Sierra Leone before entering Ghana.

2. Dangerous Assumption

The analysis assumes that financial literacy, as measured by gamified modules, is a reliable proxy for creditworthiness. There is a material risk that users can learn to game the app to receive loans without a fundamental change in their repayment capacity or intent.

3. Unaddressed Risks

• Platform Dependency: Mosabi relies on the Android OS. A shift in hardware costs or a change in Google Play Store policies in Africa could block user access. (Probability: Medium; Consequence: High)
• Partner Disintermediation: Large FSPs like Orange may develop their own basic literacy tools, removing the need for a third-party intermediary. (Probability: High; Consequence: Critical)

4. Unconsidered Alternative

The team did not evaluate a White-Labeling Strategy. Instead of building the Mosabi brand, the company could sell its content and data-tracking engine to FSPs to be embedded directly within their own apps. This would eliminate user acquisition costs and solve the data-sharing problem, though it would reduce Mosabi to a software vendor rather than a platform owner.

5. Verdict

APPROVED FOR LEADERSHIP REVIEW