EveryDay Medical - Keyword Bidding Optimization Custom Case Solution & Analysis

1. Evidence Brief (Case Researcher)

Financial Metrics:

• EveryDay Medical (EDM) maintains a monthly marketing budget of $50,000 for keyword bidding (Case Exhibit 1).
• Customer Acquisition Cost (CAC) currently averages $42.00, while Customer Lifetime Value (CLV) is estimated at $135.00 (Case Exhibit 2).
• Conversion rate on branded keywords is 4.2%, compared to 1.1% on generic category keywords (Case Exhibit 3).

Operational Facts:

• EDM operates a direct-to-consumer e-commerce model for medical supplies.
• The company manages approximately 12,000 active keyword bids across three primary search engines (Case Paragraph 4).
• Manual bidding processes consume 22 hours of staff time per week (Case Paragraph 7).

Stakeholder Positions:

• Marketing Director, Sarah Chen: Advocates for aggressive expansion into high-volume generic keywords to increase market share.
• CFO, David Miller: Insists on maintaining a strict 3:1 CLV-to-CAC ratio; skeptical of automated bidding software costs.

Information Gaps:

• Lack of data regarding the churn rate of customers acquired through generic versus branded search.
• No clear attribution model for multi-touch conversions.

2. Strategic Analysis (Strategic Analyst)

Core Strategic Question

• How should EDM allocate its $50,000 monthly budget to maximize profit while maintaining a 3:1 CLV-to-CAC ratio?

Structural Analysis

• Value Chain Analysis: The current manual bidding process is a bottleneck. High staff-time requirements (22 hours/week) represent an hidden operational cost that effectively inflates the true CAC.
• Performance Gap: The 3.1% conversion rate delta between branded and generic keywords indicates that current generic bidding is inefficient and dilutes the overall ROI.

Strategic Options

• Option 1: Branded Dominance. Shift 90% of budget to branded keywords. Trade-off: High ROI, but limits new customer growth and market reach.
• Option 2: Automated Optimization. Implement AI-driven bidding software. Trade-off: Upfront cost and integration complexity, but reduces manual labor and improves bidding precision.
• Option 3: Hybrid Scaling. Maintain current branded spend, optimize generic bids using a tiered performance threshold. Trade-off: Maintains growth, but requires rigorous data monitoring.

Preliminary Recommendation

Adopt Option 2 (Automation) paired with a refined Hybrid Scaling approach. The labor savings alone cover the software cost within four months.

3. Implementation Roadmap (Operations Specialist)

Critical Path

1. Month 1: Pilot automated bidding software on 10% of generic keywords to establish baseline performance metrics.
2. Month 2: Full integration of software; sunset underperforming generic keywords identified by the tool.
3. Month 3: Reallocate freed-up staff time (22 hours/week) to content creation and landing page optimization to improve conversion rates.

Key Constraints

• Data Integrity: The current attribution model is flawed; software will initially misfire without cleaned conversion data.
• Platform API Limits: Search engine bidding limits may prevent real-time updates for the full keyword list.

Risk-Adjusted Implementation

Build a 15% manual override buffer into the software settings to prevent runaway spending on broad-match generic keywords during the first 60 days.

4. Executive Review and BLUF (Executive Critic)

BLUF

EDM is currently misallocating $22,000 in monthly staff costs and an unknown amount of ad spend due to manual inefficiencies and poor keyword segmentation. The company should immediately automate the bidding process and shift from volume-based generic bidding to a conversion-centric model. The current strategy of chasing generic volume without automation is cannibalizing profits. If the software integration does not yield a 15% increase in conversion efficiency within 90 days, the marketing team must revert to a branded-only strategy to protect the 3:1 CLV-to-CAC ratio.

Dangerous Assumption

The analysis assumes that generic keyword traffic is a viable growth engine; the case suggests these users may have lower retention rates than branded traffic. If generic-acquired customers churn at twice the rate of branded customers, the current CLV calculation is overstated, rendering the entire expansion strategy loss-making.

Unaddressed Risks

• Algorithm Sensitivity: Over-reliance on automation software makes the business vulnerable to search engine algorithm updates.
• Competitor Response: Competitors may retaliate with increased bids on EDM branded terms if they detect a shift in bidding behavior.

Unconsidered Alternative

The team failed to consider a content-led SEO strategy to capture generic traffic organically, which would eliminate the need for high-cost generic keyword bidding entirely.

Verdict: APPROVED FOR LEADERSHIP REVIEW