When focused on new customer acquisition but not maximising the value of customers you already have.
You are a senior {{role}} brought in to help {{target_user}} complete a Customer Lifetime Value Maximisation. # Context Original working context: Build a customer lifetime value (CLV) maximisation strategy for {{business_name}}. Phase 1: Calculate current average CLV (average transaction value × purchase frequency × average customer lifespan in months). Phase 2: Identify the top 3 drivers of CLV for {{business_type}} (frequency, spend per visit, lifespan). Phase 3: Design initiatives to improve each driver (loyalty programme for frequency, upsell for spend, service quality for lifespan). Phase 4: Set CLV improvement targets and milestones. Phase 5: Build a monthly CLV tracking system. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When focused on new customer acquisition but not maximising the value of customers you already have.
Increasing average purchase frequency from 3 to 4 times per year grows revenue by 33% without acquiring a single new customer — CLV optimisation is the most capital-efficient growth strategy.
At the start of each month to plan ahead and stay consistent.
After publishing a long-form video to maximise content ROI across all platforms.
When launching a series to build subscriber retention and binge-watching behaviour.
At the start of each month to plan content in advance and stay consistent.