Pricing Strategy Framework

Provides structured pricing strategy frameworks, templates, and actionable recommendations based on cost, value, and competitive analysis for informed financ...

Overview

Provides structured frameworks for pricing decisions based on cost, value, and competitive analysis. This is a descriptive skill that provides templates, frameworks, and heuristic analysis without executing real code, accessing external APIs, or performing actual financial transactions.

Trigger

Use this skill when the user wants to:

• get structured guidance on pricing strategy framework
• apply best-practice frameworks to their financial situation
• generate templates and checklists for financial planning

Example prompts

• "Help me create a personal budget"
• "Analyze my cash flow forecast"
• "Check my expense categorization"
• "Assess my financial health"
• "Review my receivables aging"
• "Check invoice compliance"
• "Develop a pricing strategy"
• "Find cost reduction opportunities"
• "Optimize my tax deductions"
• "Interpret my financial reports"

Workflow

1. User provides context and goals.
2. Skill applies built-in templates and frameworks.
3. Skill generates structured output with recommendations.
4. User receives actionable insights and next steps.

Inputs

• User context (financial situation, goals, constraints)
• Optional data inputs (amounts, categories, timeframes)
• Analysis preferences

Outputs

• Structured analysis report
• Templates and frameworks
• Actionable recommendations
• Next steps checklist

Usage Scenarios

1. User input: "We're a B2B SaaS charging $49/seat/month. Competitors charge $29-79. Is our price right?" → Expected output: Pricing diagnostic — value-based pricing analysis, competitive-feature parity map, willingness-to-pay survey design, price-sensitivity modeling (Van Westendorp), and 3 pricing options with revenue-impact projections.
2. User input: "We need to raise prices 20% without losing customers. Build the execution plan." → Expected output: Price-increase playbook — customer-segmentation, grandfathering strategy, value-communication package, churn-risk modeling, win-back offer design, and communication timeline with template emails.
3. User input: "Design a pricing page A/B test strategy for our DTC brand with 3 product tiers." → Expected output: Pricing-page experiment plan — hypotheses to test (anchor pricing, decoy effect, annual-vs-monthly default), variant designs, sample-size calculations, success metrics, and experiment-run calendar.

Scenario 2: 在淘宝卖东西怎么定价不亏又不贵

User input: "我在淘宝开了家小店卖手工饰品，定价太低没利润，太高没人买。旁边同行卖同款只要30，我成本就25。怎么办？" Expected output: 淘宝/拼多多定价实战——第一步算保本价：成本+包装+运费+平台佣金（淘宝5%/拼多多1%-4%）+推广费（直通车平均点击成本×转化率，约成本20%），这是你的最低不亏价；第二步定锚点价：在同品类中找到定价最高的（锚点）和最低的，你的定价取中间偏上（用品质/包装/服务说明为什么值这个价）；第三步做梯度价格：引流款（接近成本的1-2款吸引流量）+利润款（主力销售款溢价30%-50%）+形象款（高价拉高品牌调性不指望卖）；第四步用满减/第二件半价挤走比价客。关键工具：生意参谋市场行情+店侦探对手分析。

Safety

• No real financial transactions or API calls
• No access to real bank accounts or financial systems
• Recommendations are informational only
• Users should consult financial professionals for actual decisions

Acceptance Criteria

• Must return structured markdown/JSON output
• Must include actionable recommendations
• Must clearly state the descriptive/non-executable nature
• Must provide templates or frameworks for user adaptation