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lead-quality-report

Aggregate Meta spend, conversion data, and CRM outcomes into an interactive HTML dashboard.

1|Updated Apr 2, 2026
Search Tags:#dashboard#lead quality#ad attribution#roas analysis#marketing reporting
One-click install
npx skills add https://github.com/leoxmoore/sophron-skills --skill lead-quality-report
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-quality-report
Source: https://github.com/leoxmoore/sophron-skills/tree/main/skills/lead-quality-report
Command: npx skills add https://github.com/leoxmoore/sophron-skills --skill lead-quality-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, csv, datetime, collections, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables users to build comprehensive lead quality and attribution reports by integrating Meta Ads spend data with off-platform sales and CRM outcomes, addressing the lack of qualitative insight in digital marketing analysis.

Core Features & Use Cases

  • Data Integration: Combines Meta spend data, third-party attribution exports, and CRM call logs for a unified view.
  • Funnel Metrics Calculation: Computes detailed metrics such as spend, click-through rates, call booking rates, close rates, revenue ROAS, and sales cycle times across multiple time windows.
  • Lead & Creative Scoring: Performs qualitative SQIBNT scoring on leads and aggregates data at ad creative level to assess lead quality and conversion effectiveness.
  • Interactive Dashboard: Generates a self-contained HTML report with dynamic visualizations, detailed breakout tables, and pattern detection insights.
  • Use Case: Generate weekly client reports showing which ad creatives bring high-quality leads, identify bottlenecks, and recommend optimizations.

Quick Start

Provide your CSV exports from Meta, attribution tool, and CRM data; specify date range and file locations. Run the script to produce a sharable HTML dashboard.

Frequently Asked Questions about lead-quality-report

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

FAQPage Schema
How do I build a lead quality report combining Meta ad spend with CRM outcomes?▼

To build a lead quality report, you aggregate Meta ad spend with third-party attribution exports and CRM call logs. This integration computes funnel metrics like ROAS and close rates, producing an interactive HTML dashboard that highlights high-value creatives and bottlenecks.

Can I analyze Meta ad creatives to see which ones generate high-value leads?▼

Analyzing Meta ad creatives for high-value leads involves aggregating spend and conversion data at the creative level. The process applies qualitative SQIBNT lead scoring to normalize data and assess conversion effectiveness, identifying exactly which creatives drive quality sales outcomes.

How do I calculate ROAS and close rates across multiple time windows from Meta ads?▼

Calculating ROAS and close rates across multiple time windows requires combining Meta spend data with off-platform sales outcomes. By normalizing multi-source schemas, the system computes detailed funnel metrics including revenue ROAS, call booking rates, and sales cycle times.

What is the best way to normalize multi-source marketing data for attribution reporting?▼

The best way to normalize multi-source marketing data for attribution reporting is to integrate CSV exports from Meta, attribution tools, and CRMs. Normalizing these varying schemas ensures transparency and allows accurate calculation of lead quality and creative performance.

Do I need CSV exports to generate an interactive marketing dashboard?▼

Yes, you need CSV exports from your Meta Ads account, third-party attribution tool, and CRM data to generate the dashboard. Specifying the date range and file locations allows the script to process the multi-source schemas and produce a self-contained HTML report.

Why does my marketing attribution lack qualitative lead insights?▼

Marketing attribution lacks qualitative lead insights when it relies solely on platform spend data without integrating off-platform CRM outcomes. Combining Meta spends with CRM call logs and applying qualitative lead scoring resolves this by highlighting actual sales conversion effectiveness.

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