ecom-promo-effectiveness

Evaluate promotion effectiveness using conversion rates, average order value, and customer quality metrics.

1|Updated Jun 22, 2026
One-click install
npx skills add https://github.com/perceptiv-digital/ecommerce-operator-playbooks --skill ecom-promo-effectiveness
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ecom-promo-effectiveness
Source: https://github.com/perceptiv-digital/ecommerce-operator-playbooks/tree/main/skills/ecom-promo-effectiveness
Command: npx skills add https://github.com/perceptiv-digital/ecommerce-operator-playbooks --skill ecom-promo-effectiveness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill assesses the impact of promotions on customer quality, margin, and conversion for ecommerce operators, ensuring decisions are based on evidence rather than intuition.

Core Features & Use Cases

  • Promotion Analysis: Evaluate the effectiveness of promotions based on multiple metrics like conversion rates, average order value, and customer acquisition.
  • Data-driven Decisions: Provides a structured approach to decision-making, with clear rules for determining whether a promotion was successful.
  • Use Case: When planning a post-promotion analysis, use this Skill to understand the true impact of the promotion on your business.

Quick Start

Run the "ecom-promo-effectiveness" play on the recent promotion by providing the necessary data such as conversion rates, AOV, and customer counts.

Frequently Asked Questions about ecom-promo-effectiveness

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

FAQPage Schema
How do I analyze ecommerce promotion effectiveness and customer quality?

Analyze ecommerce promotion effectiveness by evaluating conversion rates, average order value, and customer quality metrics. This Skill applies decision rules to determine if a promotion's conversion rate lift was of high quality.

What is the best way to measure the margin impact of a promotion?

Measure the margin impact of a promotion by comparing baseline data against the promo window. This Skill requires baseline and promo data inputs to assess customer quality and true conversion lift.

How do I run a post-promotion analysis for my ecommerce store?

Run a post-promotion analysis by providing conversion rates, average order value, and customer counts for both the promo and baseline windows. The Skill then applies vetoes to determine promotion success.

Does this promotion analysis require baseline conversion rate data?

Yes, promotion analysis requires baseline conversion rate data to compare against the promotion window. You must input data for both periods to evaluate if the conversion rate lift indicates high customer quality.

Why does my promotion conversion rate lift not guarantee high quality customers?

A conversion rate lift does not guarantee high quality customers because average order value and margin impact must also be evaluated. The Skill applies specific vetoes to ensure the promotion brought in valuable traffic.

When should I not use an automated promotion effectiveness analysis?

Avoid automated promotion effectiveness analysis when you lack baseline window data for conversion rates and average order value. Without baseline metrics to compare against the promo period, the decision rules cannot accurately assess customer quality.

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