basic-analytics

Analyzes Shopify store data for traffic, sales, and customer behavior insights.

1|1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/huifer/Shopilot --skill basic-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: basic-analytics
Source: https://github.com/huifer/Shopilot/tree/main/skills/basic-analytics
Command: npx skills add https://github.com/huifer/Shopilot --skill basic-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Shopify merchants often struggle to derive actionable insights from raw traffic, sales, and customer data. This skill provides a structured approach to analyze key metrics and generate practical recommendations to drive growth.

Core Features & Use Cases

  • Traffic analysis: examine sources, user journeys, and engagement to identify opportunities for optimization.
  • Sales analysis: track revenue, orders, AOV, and funnel efficiency to prioritize improvements.
  • Customer analysis: perform RFM-based segmentation and lifecycle insights to tailor campaigns.
  • Basic reports: daily/weekly/monthly summaries to monitor performance.
  • Product analysis: SKU-level visibility to inform pricing, inventory, and promotions.
  • Early warnings: detect anomalies in metrics and alert for corrective actions.

Quick Start

Analyze last week’s traffic, sales, and customer data to generate a concise executive summary and actionable optimizations.

Frequently Asked Questions about basic-analytics

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

FAQPage Schema
How do I analyze Shopify store traffic and sales data for actionable insights?

To analyze Shopify store traffic and sales data, you can ingest raw metrics to track revenue, orders, AOV, and funnel efficiency. This process identifies user journey bottlenecks and generates recommended actions to prioritize growth improvements.

What is RFM customer segmentation and how does it work for ecommerce?

RFM customer segmentation groups ecommerce shoppers by Recency, Frequency, and Monetary value. It analyzes customer behavior to create lifecycle insights, allowing you to tailor marketing campaigns and identify high-value buyers for targeted promotions.

Can I use Google Analytics data alongside Shopify metrics for comprehensive reporting?

Yes, you can integrate Google Analytics data alongside Shopify metrics. This combination supports cross-platform analytics workflows to generate comprehensive dashboards, monitor traffic sources, and validate data accuracy for reliable reporting.

How do I generate automated daily or weekly performance summaries for my Shopify store?

You can generate automated daily, weekly, or monthly performance summaries by configuring reporting workflows. These basic reports track key metrics like revenue and traffic, monitor ongoing performance, and deliver concise executive summaries.

What is the best way to detect anomalies and set up early warnings for ecommerce metrics?

The best way to detect ecommerce metric anomalies is to apply automated validation with safeguards to your data streams. This monitors traffic and sales patterns, detecting irregularities early to alert you for immediate corrective actions.

How do I perform SKU-level product analysis to optimize Shopify inventory and pricing?

To perform SKU-level product analysis, you ingest sales data to gain granular visibility into individual product performance. This informs strategic decisions regarding pricing adjustments, inventory management, and targeted promotional campaigns.