Harrah's Entertainment, Inc. Custom Case Solution & Analysis

Evidence Brief: Harrahs Entertainment Case Analysis

Prepared by: Business Case Data Researcher

1. Financial Metrics

Revenue Growth: Annual revenue increased from 1.1 billion in 1994 to 3.01 billion in 2000 (Exhibit 1).
Profitability: Net income rose to 209.6 million in 2000, up from 102 million in 1998 (Exhibit 1).
Share of Wallet: Initial data indicated Harrahs captured only 36 percent of the total gaming budget of its customers (Paragraph 12).
Marketing Efficiency: Direct mail response rates reached 20 percent through targeted database offers (Paragraph 18).
Capital Expenditure: Competitors spent over 1 billion on single properties like the Bellagio, while Harrahs focused capital on IT and database infrastructure (Paragraph 8).

2. Operational Facts

Property Footprint: 15 casinos located across 12 different states as of 2000 (Paragraph 4).
Customer Database: The WINet system tracked 19 million customers by 2000 (Paragraph 15).
Loyalty Tiers: Total Gold program utilized three distinct tiers: Gold, Platinum, and Diamond, based on tracked theoretical value (Paragraph 22).
Data Granularity: Systems captured specific machine preferences, time spent gaming, and average bet size per customer (Paragraph 16).

3. Stakeholder Positions

Phil Satre (CEO): Supported the shift from a property-centric model to a brand-centric model despite internal resistance (Paragraph 9).
Gary Loveman (COO): Former academic who championed the use of quantitative analysis over traditional casino management intuition (Paragraph 10).
Property General Managers: Historically held total autonomy over their P and L statements; many resisted centralizing marketing and loyalty programs (Paragraph 14).
Middle-Market Gamblers: The core target segment who valued recognition and free play over expensive architectural attractions (Paragraph 20).

4. Information Gaps

Competitor Tech Spend: Specific dollar amounts spent by MGM or Mirage on similar database marketing tools are not provided.
Customer Churn Rates: The case lacks specific data on the percentage of customers who stopped using the Total Gold card annually.
Regulatory Constraints: Detailed limitations on cross-state data sharing for gambling entities are not fully outlined.

Strategic Analysis: The Math of Loyalty

Prepared by: Market Strategy Consultant

1. Core Strategic Question

The central dilemma is whether Harrahs can achieve sustainable competitive advantage by investing in data-driven customer loyalty rather than following the industry trend of massive capital investment in destination-themed resorts.

2. Structural Analysis

Value Chain: Harrahs shifted the primary value driver from Operations (property aesthetics) to Marketing and Sales (customer data and personalized incentives).
Jobs-to-be-Done: The core customer is not looking for a luxury vacation; they seek a sense of belonging, recognition, and an optimized gaming experience where their spend is acknowledged.
Porter Five Forces: Rivalry is intense. By creating high switching costs through tiered rewards (Total Gold), Harrahs effectively neutralizes the threat of substitutes (other casinos) for their most profitable segments.

3. Strategic Options

Option 1: Double Down on Database Marketing (Recommended)

Rationale: Exploits the current 36 percent share of wallet by capturing the remaining 64 percent without building new hotels.
Trade-offs: Requires high IT spend and centralizing control, which risks alienating property managers.
Resources: Advanced analytics talent and centralized CRM software.

Option 2: Selective Strip Acquisition

Rationale: Establishes a flagship presence in Las Vegas to serve as a destination for regional customers.
Trade-offs: Massive capital requirement and potential dilution of the data-first culture.
Resources: Debt financing and construction management.

4. Preliminary Recommendation

Harrahs must pursue Option 1. The data shows that increasing share of wallet among existing customers is cheaper and more predictable than the high-risk build it and they will come model. The focus must remain on the 20 percent of customers who drive 80 percent of the revenue.

Implementation Roadmap: Operationalizing Data

Prepared by: Operations and Implementation Planner

1. Critical Path

Data Standardization (Months 1-3): Ensure every property uses the same customer ID and tracks theoretical win identically.
Incentive Realignment (Months 4-6): Change property manager compensation to reflect brand-wide loyalty rather than just property-specific P and L.
Front-Line Training (Months 6-9): Train 30,000 employees to use database insights for real-time customer recognition on the floor.

2. Key Constraints

Property Autonomy: The biggest hurdle is the historical independence of casino managers. Centralizing the marketing budget will meet stiff resistance.
IT Latency: Real-time reward delivery requires a network that can handle millions of pings without slowing down slot machine performance.

3. Risk-Adjusted Implementation Strategy

The rollout should follow a hub-and-spoke model. Start with the most profitable regional hubs to prove the ROI of centralized rewards. Use these wins to silence internal critics before a full national rollout. Contingency plans must include a 15 percent buffer in the IT budget for security and data privacy compliance.

Executive Review and BLUF

Prepared by: Senior Partner and Executive Reviewer

1. BLUF

Harrahs should reject the industry obsession with architectural spectacles. The path to market leadership lies in the aggressive expansion of the Total Gold database. By treating gambling as a service industry driven by data rather than a real estate industry driven by themes, Harrahs can capture the 64 percent of customer wallet currently lost to competitors. Success depends on breaking property-level silos and enforcing a unified national brand experience. Speed is essential before competitors replicate the loyalty technology.

2. Dangerous Assumption

The analysis assumes that customer behavior is purely rational and driven by rewards. It ignores the possibility that a certain segment of gamblers will always be lured away by the spectacle of a new billion-dollar resort, regardless of their loyalty points balance.

3. Unaddressed Risks

Data Commoditization: Probability: High. Consequence: Severe. If MGM or Park Place buy similar CRM tools, the Harrahs advantage disappears unless the service culture is superior.
Regulatory Blowback: Probability: Moderate. Consequence: High. Increased scrutiny on data-driven marketing to frequent gamblers could lead to restrictive responsible gaming legislation.

4. Unconsidered Alternative

The team did not evaluate a pure licensing model. Harrahs could license its WINet database and loyalty management system to smaller, non-competing international casinos, creating a high-margin revenue stream with zero capital risk.