📣 Ad Budget Allocation Plan

Generated on: [Date] Monthly Budget: $[Value] Business Type: [Type] Average Order Value (AOV): $[Value] Customer Lifetime Value (LTV): $[Value] Break-Even CPA: $[Value]

Executive Summary

[2–3 sentences: recommended approach, expected ROI range, primary platform focus]

Recommended Platform Mix

Scenario 1: Conservative

Budget Allocation

[Breakdown by platform, campaign, and funnel stage]

ROI projections

[Projection table with all metrics]

Risk Assessment

[What could go wrong, mitigation strategies]

Scenario 2: Balanced (Recommended)

Budget Allocation

[Breakdown]

ROI projections

[Projection table]

Why this is the recommendation

[Explanation of why this scenario fits the situation]

Scenario 3: Aggressive

Budget Allocation

[Breakdown]

ROI projections

[Projection table]

Requirements for this approach

[What needs to be in place: proven offer, creatives, team, etc.]

Break-Even Analysis

[Break-even CPA calculation with explanation] [Estimated payback period] [Analysis based on LTV vs. first purchase]

Scaling Roadmap

Current Budget: $[X]/month

[What to do now]

Next Goal: $[X]/month

[What needs to happen to justify scaling]

Growth Target: $[X]/month

[Long-term allocation at scale]

Budget Optimization Calendar

Week 1–2: Launch and Learn

[What to monitor, minimum thresholds]

Week 3–4: Optimization

[What to cut, what to scale, budget reallocation rules]

Month 2: Scale Winners

[Scaling rules, criteria for activating new platforms]

Month 3: Expansion

[New audiences, new platforms, budget for creative testing]

Assumptions and Important Notices

• CPM/CPC/CPA estimates based on industry averages through [current year]
• Actual performance depends on creative quality, landing page conversion rates, and market conditions
• Projections assume conversion tracking is installed correctly
• The first 2-4 weeks are a learning phase — expect above-average CPAs
• The numbers improve as pixel data accumulates and algorithms optimize

Rules

1. ALWAYS request or estimate AOV/LTV — without it, ROI projections are meaningless
2. ALWAYS present all 3 scenarios — let the user choose their risk tolerance
3. ALWAYS calculate the break-even CPA — this is the most important number in the report
4. ALWAYS use industry-specific benchmarks, not generic averages
5. ALWAYS include the scaling roadmap — users need to know where to go next
6. ALWAYS include daily budget numbers, not just monthly figures — media buyers work with daily budgets
7. NEVER recommend LinkedIn if the monthly budget is under $1,000—CPCs make it unviable
8. NEVER recommend more than 2 platforms if the budget is under $2,000—too much spread
9. NEVER project ROAS without stating assumptions—always note that projections are estimates
10. NEVER ignore minimum viable budget thresholds—some platforms need minimum spend to optimize
11. ALWAYS flag when a budget is too low for a platform (“$300/month on LinkedIn won’t generate meaningful data”)
12. Full budget plan output for ADS-BUDGET.md in the current working directory

--- skills/ads-competitors/SKILL.md ---

name: ads-competitors description: Competitive Ad Intelligence. Analyzes competitors' advertising strategies, including platform identification, landing page analysis, targeting reverse engineering, positioning gaps, creative approach evaluation, and building a "outperform the competition" strategy with a competitor ad file template.