Star Digital: Assessing the Effectivness of Display Advertising Custom Case Solution & Analysis

1. Evidence Brief (Case Researcher)

Financial Metrics

• Total marketing budget: $12 million per annum.
• Display advertising spend: $3 million (25% of total budget).
• Customer Acquisition Cost (CAC) via display: $150–$200 range (estimated).
• Conversion rate: 0.15% (industry benchmark 0.10%–0.20%).
• Average Revenue Per User (ARPU): $450 over 24 months.

Operational Facts

• Distribution: 100% digital subscription model.
• Target demographic: Professionals aged 25–45.
• Attribution model: Last-click attribution currently utilized.
• Testing: A/B testing on creative assets running for 4 weeks.

Stakeholder Positions

• CMO: Believes display is a branding necessity regardless of direct conversion.
• CFO: Demands clear Return on Ad Spend (ROAS) or budget reallocation to search/social.
• Data Science Team: Argues last-click attribution undervalues display as an awareness driver.

Information Gaps

• Lifetime Value (LTV) decay rates beyond 24 months.
• Brand lift studies (absent).
• Cross-channel interaction data (how display influences search behavior).

2. Strategic Analysis (Strategic Analyst)

Core Strategic Question

Should Star Digital maintain its $3 million display advertising expenditure, or does the data necessitate a shift toward high-intent performance channels to optimize acquisition efficiency?

Structural Analysis

The current last-click attribution model creates a false negative for display advertising. Using the Value Chain framework, display acts as a top-of-funnel discovery mechanism. However, the current spend level is untethered to measurable incremental lift, resulting in inefficient capital allocation.

Strategic Options

• Option 1: Aggressive Reallocation. Redirect 60% of display budget to search and social. Trade-offs: Immediate improvement in CAC; potential long-term erosion of brand awareness and organic search volume.
• Option 2: Attribution Reform. Implement multi-touch attribution (MTA) and conduct a geo-lift test. Trade-offs: Requires investment in analytics; delays budget optimization by 90 days.
• Option 3: Hybrid Optimization. Reduce display spend by 30% while shifting remaining budget to retargeting and high-performing segments only. Trade-offs: Retains brand presence; sacrifices reach for precision.

Preliminary Recommendation

Adopt Option 2. The organization lacks the granular data to justify a total exit from display. The priority is to prove incrementality before dismantling the current funnel structure.

3. Implementation Roadmap (Implementation Specialist)

Critical Path

1. Days 1–30: Establish baseline for a hold-out market test (geo-lift).
2. Days 31–60: Deploy multi-touch attribution software and sync CRM data.
3. Days 61–90: Analyze incremental conversion lift and finalize budget re-allocation.

Key Constraints

• Data Silos: Marketing and sales data are currently disconnected.
• Technical Debt: Existing tracking pixels are misconfigured for multi-touch tracking.

Risk-Adjusted Implementation

If the geo-lift test shows zero incremental lift, the company must trigger an immediate 50% budget cut to display. The primary risk is organizational inertia; the CMO is emotionally invested in brand-only metrics. The plan requires clear buy-in from the CFO to enforce the cut if benchmarks are missed.

4. Executive Review and BLUF (Executive Critic)

BLUF

Star Digital is currently burning $3 million annually on display advertising without evidence of causality. The last-click attribution model is a legacy error that masks poor performance. The company should not maintain the status quo. Immediate implementation of a geo-lift study is required to isolate the incremental impact of display. If the study fails to demonstrate a clear lift in conversion volume, the budget must be reallocated to search and social channels by the end of Q3. The current CMO preference for branding is a luxury the company cannot afford given the high CAC.

Dangerous Assumption

The assumption that brand awareness via display translates into future subscription intent without measurable mid-funnel engagement.

Unaddressed Risks

• Competitive Response: Competitors may capture the search volume vacated by a potential reduction in display.
• Attribution Blindness: Shifting to high-intent channels may reach a saturation point, increasing CAC rapidly.

Unconsidered Alternative

Direct investment in content marketing and owned SEO assets as a long-term substitute for paid display, reducing reliance on external ad platforms.

Verdict: APPROVED FOR LEADERSHIP REVIEW