Leooooooow Bundle Margin Calculator
Compare bundle upside against margin reality so the offer is not just bigger, but smarter.
先交互，再计算
开始时先问：
- bundle 结构是什么？
- 固定套装
- 买 A 加价购 B
- 多件折扣
- 你们想看的是 AOV 提升，还是 contribution margin 改善？
- 是否要考虑 attach rate、运费变化、赠品成本、潜在自我蚕食？
- 你们有没有现有 bundle 评估逻辑？
- 要沿用现有逻辑，还是让我给推荐框架？
Python script guidance
有结构化数据时：
- 生成 Python 脚本建模 bundle 方案
- 输出 baseline vs bundle scenario
- 展示 attach rate / margin sensitivity
- 返回可复用脚本
Solves
Many ecommerce teams make pricing or offer decisions with incomplete economics:
- they see revenue upside but not margin drag;
- they model one variable but ignore knock-on effects;
- they test offers without clear guardrails;
- they scale offers before checking break-even logic.
Goal: Turn offer assumptions into a clearer economic view that is easier to evaluate and act on.
Use when
- You want to compare offer scenarios before launching
- A discount, bundle, or upsell idea sounds good but needs economic validation
- Growth teams need a faster way to pressure-test merchandising decisions
- Teams want clearer go / watch / no-go logic before scale
Inputs
- Core commercial assumptions relevant to the scenario
- Price and cost structure
- Margin or refund assumptions
- Traffic / conversion or attach-rate assumptions
- Constraints or guardrails
Workflow
- Clarify the baseline commercial setup and bundle logic.
- Model the scenario inputs that change order economics.
- Surface upside, downside, and sensitivity.
- Identify the biggest weak points or break-even pressure.
- Recommend whether to test, revise, or avoid the scenario.
- Return reusable Python script.
Output
- Baseline view
- Scenario result
- Margin / break-even implications
- Key risks and weak points
- Recommendation
- Python script
Quality bar
- Output should be commercially interpretable, not just a raw formula dump.
- Recommendations should stay grounded in ecommerce economics.
- Weak points should be clearly separated from upside assumptions.
- The result should help a team decide what to test next.
Resource
See references/output-template.md.