EPCorp: Sell on Amazon or Invest in Our Data? Custom Case Solution & Analysis

1. Evidence Brief (Case Researcher)

Financial Metrics:

• Gross Margin: EPCorp maintains a 42% margin on direct-to-consumer (DTC) sales compared to 28% on Amazon marketplace sales (Exhibit 1).
• Customer Acquisition Cost (CAC): DTC CAC is $48 per user; Amazon platform fees and advertising spend effectively result in a $32 per unit cost (Exhibit 2).
• Data Asset Valuation: Internal valuation estimates the proprietary customer dataset is worth $12M in annual licensing potential to third-party retailers (Paragraph 14).
• Revenue Growth: Amazon channel grew 18% YoY; DTC channel grew 4% YoY (Exhibit 1).

Operational Facts:

• Logistics: 85% of Amazon sales utilize Fulfillment by Amazon (FBA); DTC relies on an in-house warehouse and third-party logistics (3PL) provider (Paragraph 7).
• Headcount: Data science team consists of 4 FTEs; Marketing team consists of 12 FTEs (Paragraph 9).
• Inventory: 60% of stock is currently allocated to Amazon warehouses (Exhibit 3).

Stakeholder Positions:

• CEO (Sarah Jenkins): Favors aggressive expansion on Amazon to capture volume and short-term liquidity (Paragraph 11).
• CTO (Marcus Thorne): Argues for curbing Amazon sales to protect brand equity and prioritize proprietary data analytics (Paragraph 12).
• Board: Concerned about the declining growth rate of the DTC channel (Paragraph 15).

Information Gaps:

• Churn rate for Amazon-acquired customers vs. DTC-acquired customers is not provided.
• The specific legal restrictions regarding the export of customer data from the Amazon platform are not clearly defined.

2. Strategic Analysis (Strategic Analyst)

Core Strategic Question:

• Should EPCorp prioritize volume growth via the Amazon marketplace or pivot toward a data-monetization model that requires restricting platform access?

Structural Analysis:

• Value Chain: EPCorp currently acts as a commodity supplier on Amazon, ceding customer ownership. The data-licensing model transitions the firm into a software-enabled service provider.
• Ansoff Matrix: The current path is Market Penetration (Amazon). The proposed alternative is Product Development (Data Licensing).

Strategic Options:

• Option 1: The Hybrid Scale Model. Maintain Amazon presence but cap inventory at 40% of total stock. Redirect resources to DTC brand building. Trade-off: Immediate revenue dip; higher long-term margin.
• Option 2: The Data-First Pivot. Aggressively license data and scale back Amazon sales to 20%. Trade-off: High dependency on external demand for data; requires rapid hiring of specialized sales staff.
• Option 3: The Amazon-Exclusive Path. Double down on FBA, outsource all logistics, and dissolve the data science team. Trade-off: High dependency on Amazon platform policies; zero brand differentiation.

Preliminary Recommendation:

Option 1 is the most viable. It preserves cash flow from Amazon while forcing the organization to improve DTC conversion rates, preventing a total loss of customer ownership.

3. Implementation Roadmap (Implementation Specialist)

Critical Path:

1. Month 1-2: Reallocate 30% of marketing budget from Amazon ads to DTC customer loyalty programs.
2. Month 3-4: Negotiate new 3PL contract to reduce DTC shipping costs by 15%.
3. Month 5-6: Launch the first iteration of the data-licensing API to pilot partners.

Key Constraints:

• Talent Gap: The current data team lacks commercial experience to sell data insights to external retailers.
• Platform Retaliation: Amazon may reduce search visibility if inventory levels drop below current thresholds.

Risk-Adjusted Implementation:

Implement a phased withdrawal from Amazon. If DTC revenue does not show a 10% increase by Month 6, pause the inventory reduction to avoid cash flow insolvency. Build a 20% buffer into the data-licensing revenue projections to account for slow market adoption.

4. Executive Review and BLUF (Executive Critic)

BLUF:

EPCorp must stop viewing Amazon as a growth engine and start viewing it as a customer-acquisition loss leader. The current strategy of chasing Amazon volume is a slow-motion exit from the brand business. The company should immediately cap Amazon inventory at 40%, pivot the data science team to focus on internal conversion optimization rather than external licensing, and use the saved margin to fund a direct-to-consumer loyalty program. Licensing data is a distraction; the firm lacks the commercial infrastructure to succeed in B2B data sales. Focus on the core: own the customer or become a warehouse-filler for Amazon.

Dangerous Assumption:

The assumption that third-party retailers will pay for EPCorp data is flawed. The data is only as good as the volume EPCorp drives, which will shrink if the company restricts its Amazon presence.

Unaddressed Risks:

• Platform Lock-in: Amazon algorithm changes could render the DTC shift impossible overnight.
• Operational Friction: The existing 3PL infrastructure is not equipped to handle a sudden spike in DTC volume if Amazon sales are throttled.

Unconsidered Alternative:

A white-label manufacturing strategy. If the brand cannot win DTC, stop spending on marketing and become a high-volume, low-cost manufacturer for Amazon-exclusive private labels.

Verdict: APPROVED FOR LEADERSHIP REVIEW