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ecommerce-personalization

ecommerce-personalization

github.com/nexscope-aiMarketing & growth1.3k1.1k installsUpdated 9w ago
Repository

About ecommerce-personalization

A personalization strategy skill for e-commerce businesses, covering recommendations, dynamic content, and email or SMS tailored to customer behavior and segments. It addresses multiple commerce platforms and provides actionable guidance.

Key features

  1. 01Customer segmentation frameworks
  2. 02Product recommendation strategies
  3. 03Dynamic homepage, PDP, and checkout content
  4. 04Segment-based email and SMS strategies
  5. 05Personalization A/B testing
  6. 06Privacy-compliant data collection

Use cases

  1. 01Segment customers by behavior and demographics
  2. 02Plan recommendations for distinct customer groups
  3. 03Design personalized email and SMS campaigns

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill ecommerce-personalization

After installing, type/ecommerce-personalizationin Claude Code to confirm it loaded.

Details

From the project README

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 — your AI assistant for smarter e-commerce decisions.

Install

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

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

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