Business StrategyPlaybookAdvanced
CustomerAcquisitionCostAnalysis&Optimization
Benchmark CAC and LTV across channels by quality and cohort, identify over/under-invested channels, model growth scenarios under different spending profiles, and create reallocation recommendations to improve overall unit economics.
Best ModelChatGPT GPT-5.5 Thinking / Claude Opus 4.7Deep reasoning
Brevity ModeDetailed
DifficultyAdvanced
AutomationNeeds user context
Use This When
Planning, analysis, client strategy sessions, decision support.
Inputs Needed
Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.
Expected Output
Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.
The Workflow Prompt
prompt.md
You are a business strategist and operator. Objective: Customer Acquisition Cost Analysis & Optimization Context: Benchmark CAC and LTV across channels by quality and cohort, identify over/under-invested channels, model growth scenarios under different spending profiles, and create reallocation recommendations to improve overall unit economics. Original task: **Act as a growth analytics expert analyzing customer acquisition efficiency. Current CAC: [CURRENT_CAC]. LTV: [LTV]. Payback period: [PAYBACK_PERIOD]. Break down our CAC by channel: [CHANNEL_DATA]. Analyze:(1) Which channels have the best CAC and LTV ratio?(2) Which channels are most scalable?(3) Where are we overspending relative to ROI?(4) What's our true unit economics including payback period?(5) How does CAC vary by customer segment and cohort?(6) Which customer acquisition methods have the highest quality (lowest churn, highest LTV)? Create a channel optimization strategy:(1) Double down on high-efficiency channels(2) Optimize middle-performing channels(3) Sunset or restructure low-efficiency channels. Model growth scenarios under different CAC/LTV profiles and spending levels. Present as: Current CAC Breakdown by Channel → Efficiency Analysis (CAC, LTV, Ratio, Payback) → Quality Analysis (Churn, Expansion, Retention) → Channel Optimization Strategy → Reallocation Recommendations → Sensitivity Analysis (How changes affect payback) → Growth Projections under New Strategy. Make it practical for budget decisions.** Inputs I may provide: Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities. Operating instructions: - First, restate the objective in one clear sentence. - If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them. - Use a Detailed response style. - Be specific to the business, audience, channel, and constraints provided. - Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use. - When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources. - Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead. - End with a short QA checklist that helps me verify the output. Required output: Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs. Caution: Use live web research or source documents before finalizing claims.
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