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customer-profile-builder

Aggregate orders, interactions, and preferences into structured customer profiles.

1|1|Updated Apr 12, 2026
Search Tags:#analytics#crm#segmentation#rfm#customer-profile#clv#360-view
One-click install
npx skills add https://github.com/huifer/Shopilot --skill customer-profile-builder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-profile-builder
Source: https://github.com/huifer/Shopilot/tree/main/skills/customer-profile-builder
Command: npx skills add https://github.com/huifer/Shopilot --skill customer-profile-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Merchants are often unable to assemble a single, coherent view of each customer from disparate data sources. This Skill creates a complete 360-degree customer profile by consolidating purchase history, behavioral signals, preferences, and a timeline of interactions to support personalized actions.

Core Features & Use Cases

  • 360-degree customer view: aggregates basic profile data, orders, CLV, RFM, lifecycle stage, and cross-channel interactions.
  • Preference and behavior insights: analyzes product categories, price sensitivity, brand affinity, and engagement signals.
  • Actionable outputs: provides ready-to-use profiles for marketing, customer service, and personalized recommendations.

Quick Start

Provide a customer-id to generate the complete profile for that customer.

Frequently Asked Questions about customer-profile-builder

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

FAQPage Schema
How do I build a 360-degree customer profile from scattered order history and interaction data?▼

To build a 360-degree customer profile, you need to consolidate purchase history, behavioral signals, and cross-channel interactions into a single view, enabling personalized marketing and support based on unified preferences.

How do I calculate RFM and CLV to improve my customer segmentation strategy?▼

You calculate RFM and CLV by ingesting historical orders and interactions, which allows you to generate a health score and lifecycle stage for precise customer segmentation and targeted marketing campaigns.

What is the best way to generate a customer health score and lifecycle stage for targeted marketing?▼

Generating a customer health score and lifecycle stage requires aggregating historical orders and preferences to compute RFM and CLV, resulting in structured profiles that support personalized recommendations and support.

Can I use a single customer-id to extract a complete profile with price sensitivity and brand affinity insights?▼

Yes, providing a customer-id allows you to instantly extract a complete profile that analyzes product categories, price sensitivity, brand affinity, and engagement signals for actionable customer service insights.

Does building a customer profile with this method require any specific external dependencies or components?▼

No, building a customer profile with this method requires no external dependencies or components, allowing you to directly ingest data and export structured profiles without prerequisite environment setup.

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