Savage Beast (A) Custom Case Solution & Analysis

1. Evidence Brief (Case Researcher)

Financial Metrics:

• Savage Beast (SB) is a music-recommendation service start-up.
• Funding: $1.5M in seed funding (Paragraph 4).
• Burn rate: $100k per month (Paragraph 14).
• Projection: Expected to run out of cash in approximately 15 months (Paragraph 14).

Operational Facts:

• Core Product: Proprietary recommendation engine (the Beast) that suggests music based on user preferences.
• Business Model: Currently B2B (licensing engine to retailers) vs. B2C (consumer-facing website).
• Market: Music retail industry facing disruption from digital piracy and shifting consumer behavior.

Stakeholder Positions:

• Eduardo Saverin/Founders: Focused on proving the B2C model to attract venture capital and demonstrate consumer traction.
• Retail Partners: Seeking technology to increase sales in physical and online stores.

Information Gaps:

• Customer Acquisition Cost (CAC) for B2C model is not explicitly stated.
• Lifetime Value (LTV) of a B2C user is speculative.
• Contract terms for current B2B pilots are not detailed.

2. Strategic Analysis (Strategic Analyst)

Core Strategic Question: Should Savage Beast pivot to a pure-play B2C consumer brand, or maintain the B2B licensing model to sustain cash flow while building the brand?

Structural Analysis:

• Value Chain: The B2B model places SB as an infrastructure provider (low brand visibility, high integration dependence). The B2C model places SB as a destination (high brand visibility, high marketing spend).
• Ansoff Matrix: B2B represents market penetration; B2C represents product development and market diversification.

Strategic Options:

• Option 1: Aggressive B2C Pivot. Focus all resources on the consumer website. Pro: Potential for high valuation and exit. Con: Massive marketing costs and high burn rate.
• Option 2: B2B-First Scaling. Focus on licensing to major retailers. Pro: Revenue generation and stable cash flow. Con: Slower growth and lack of direct consumer relationship.
• Option 3: Hybrid Approach. Use B2B revenue to fund B2C feature development. Pro: Balances risk. Con: Complexity and potential split focus.

Preliminary Recommendation: Option 2 (B2B-First). The current burn rate of $100k/month against $1.5M in funding makes a pure B2C play too risky. B2B contracts provide the necessary runway to refine the algorithm.

3. Implementation Roadmap (Operations Specialist)

Critical Path:

• Month 1-3: Finalize and sign two major B2B retail contracts to secure recurring revenue.
• Month 4-6: Optimize the recommendation engine using data from B2B partners.
• Month 7-12: Launch a limited B2C pilot to test user acquisition metrics without heavy ad spend.

Key Constraints:

• Sales Cycle: B2B retail sales cycles are notoriously long and bureaucratic.
• Algorithmic Accuracy: If the recommendation engine fails to increase retail sales, B2B partners will churn.

Risk-Adjusted Implementation:

• Maintain a lean team. Delay marketing hires until B2B revenue covers 50% of the monthly burn.
• Contingency: If B2B contracts fail to materialize by Month 4, pivot immediately to a low-cost, viral B2C growth strategy.

4. Executive Review and BLUF (Executive Critic)

BLUF: Savage Beast must prioritize B2B licensing over B2C development. The current $100k monthly burn rate is unsustainable for a consumer-facing pivot that requires massive capital for customer acquisition. By focusing on B2B, the company converts its recommendation engine into a revenue-generating asset rather than a cost center. This path secures the firm’s survival and provides the data necessary to improve the product before entering the crowded consumer market. The goal is to reach break-even through B2B partnerships before attempting a costly B2C launch.

Dangerous Assumption: The management assumes the B2C market will provide higher returns than B2B. In reality, the B2C market is winner-take-all, and SB lacks the capital to compete with incumbents.

Unaddressed Risks:

• Integration friction: Retailers often have archaic IT systems that may reject SB’s technology.
• Intellectual Property: The algorithm is the only asset; if the B2B model fails, the company has no secondary revenue stream.

Unconsidered Alternative: M&A. SB should explore being acquired by a major music retailer seeking to modernize its digital footprint. This provides an immediate exit for investors and embeds the tech into a larger distribution network.

Verdict: APPROVED FOR LEADERSHIP REVIEW.