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data-analyst

Analyze campaign funnels, retention, and attribution metrics within Partners in Biz.

Updated Mar 20, 2026
Search Tags:#analytics#reporting#funnel analysis#data-quality#attribution modeling
One-click install
npx skills add https://github.com/Partners-in-Biz/partnersinbiz-web --skill data-analyst-partners-in-biz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/Partners-in-Biz/partnersinbiz-web/tree/main/.claude/skills/data-analyst
Command: npx skills add https://github.com/Partners-in-Biz/partnersinbiz-web --skill data-analyst-partners-in-biz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit simplifies and enhances analytics, reporting, and data-quality tasks, streamlining workflows for Partners in Biz and ensuring accuracy and reliability in data analysis.

Core Features & Use Cases

  • Analytics & Reporting: Execute comprehensive analytics tasks such as attribution, dashboard reviews, and retention analysis.
  • Data Quality: Conduct thorough data-quality checks and investigate anomalies for accurate reporting.
  • Use Case: Leverage this skill to perform product analytics on customer journeys, identify drop-off points in funnels, and validate attribution metrics.

Quick Start

Activate the data-analyst skill to run a funnel analysis on 'sales funnel - Q1 2023'.

Frequently Asked Questions about data-analyst

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

FAQPage Schema
How do I perform funnel analysis to identify customer drop-off points?▼

Funnel analysis identifies customer journey drop-off points by evaluating campaign stages and retention rates. You can execute this process to analyze product analytics data and pinpoint exactly where users exit the sales funnel.

What is attribution modeling and how does it validate campaign metrics?▼

Attribution modeling validates campaign metrics by assigning credit to specific touchpoints in the customer journey. It ensures accurate reporting by leveraging internal databases to verify attribution data quality.

How do I run data-quality checks to investigate reporting anomalies?▼

Data-quality checks investigate reporting anomalies by validating metrics against internal databases and client-specific information. This process ensures accuracy and reliability before generating final analytics reports.

Can I generate structured analytics reports using internal databases?▼

Yes, structured analytics reports are generated by leveraging internal databases and client-specific information. This facilitates data-driven insights through comprehensive dashboard reviews and retention analysis.

Does this data analysis approach support customer retention rate calculations?▼

Customer retention rate calculations are fully supported through product analytics on customer journeys. This allows you to measure ongoing engagement and validate retention metrics within your platforms.

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