bundle-margin-calculator

Evaluate ecommerce bundle structures for AOV and margin impact.

7|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill bundle-margin-calculator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bundle-margin-calculator
Source: https://github.com/Leooooooow/Awesome-eCommerce-Skills/tree/main/skills/bundle-margin-calculator
Command: npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill bundle-margin-calculator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Calculate whether a product bundle improves average order value without quietly destroying contribution margin.

Core Features & Use Cases

  • Compare bundle upside against margin reality to ensure offers are not just bigger but smarter.
  • Support common bundle structures (fixed bundles, buy A get B, multi-item discounts) and outline testing criteria.
  • Provide modeling workflow and a reusable Python script to output baseline vs bundle scenario and margin sensitivity.

Quick Start

Provide your current bundle structure and cost data to generate a baseline view and a scenario showing margin impact.

Frequently Asked Questions about bundle-margin-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate if an ecommerce bundle increases AOV without hurting contribution margin?

To calculate if an ecommerce bundle increases AOV without hurting contribution margin, you need to evaluate bundle structures against current cost data. This process compares baseline metrics against bundle scenarios to ensure your offers are smarter, not just larger.

What is the best way to model margin sensitivity for BOGO and multi-item discount offers?

Modeling margin sensitivity for BOGO and multi-item discounts involves comparing bundle upside against margin reality across product SKUs. Using a structured Python script template, you can output baseline versus bundle scenarios to support go/no-go decisions.

How do I evaluate fixed bundle pricing scenarios across multiple product SKUs?

Evaluating fixed bundle pricing scenarios requires structured input data for your product SKUs. You compare the baseline view against the bundle scenario results to see the exact margin impact and determine if the fixed bundle structure is profitable.

Can I use a Python script template to automate bundle scenario analysis for my online store?

Yes, you can use a reusable Python script template to automate bundle scenario analysis. By providing your current bundle structure and cost data, the script generates a baseline view and scenario results to model margin impact for your online store.

Does this bundle margin calculator support buy A get B offers and multi-item discounts?

Yes, the bundle margin calculator supports common structures including fixed bundles, buy A get B offers, and multi-item discounts. It outlines specific testing criteria to evaluate these structures and optimize AOV and margin.

What data do I need to provide to generate a baseline view for bundle margin scenario analysis?

To generate a baseline view for bundle margin scenario analysis, you must provide your current bundle structure and cost data. This structured input data across product SKUs allows the calculator to deliver baseline views and scenario results.