ecommerce-personalization

$npx mdskill add nexscope-ai/eCommerce-Skills/ecommerce-personalization

Design personalization strategies for e-commerce stores to boost engagement and sales.

  • Segment customers using RFM, behavioral, and demographic data.
  • Integrates with Shopify, WooCommerce, Amazon, and other platforms.
  • Recommends strategies based on browsing and purchase behavior.
  • Outputs actionable plans for product recommendations, emails, and A/B tests.

SKILL.md

.github/skills/ecommerce-personalizationView on GitHub ↗
---
name: ecommerce-personalization
description: "Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior."
metadata:
  nexscope:
    emoji: "🎯"
    category: ecommerce
---

# E-Commerce Personalization 🎯

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

**Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

## Install

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -g
```

## Usage

```
I run a Shopify store with 5,000 customers. How do I set up personalization? I want to show different products to different customer segments.
```

## Capabilities

- Customer segmentation framework (RFM, behavioral, demographic)
- Product recommendation engine strategy (collaborative, content-based, hybrid)
- Dynamic content personalization for homepage, PDP, and checkout
- Personalized email/SMS strategy by customer segment
- A/B testing framework for personalization
- Privacy-compliant data collection strategy
- Tool and app recommendations by platform (Shopify, WooCommerce)

## How This Skill Works

**Step 1:** Collect information from the user's message — product, platform, current situation, and goals.

**Step 2:** Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

**Step 3:** Research and analyze using the frameworks and methodology below.

**Step 4:** Deliver structured, actionable output with specific recommendations, not vague advice.

## Output Format

- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps

## Other Skills

More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)

Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)

Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — your AI assistant for smarter e-commerce decisions.

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