reporting-analytics

Aggregate and reconcile Google Ads and Meta Ads data into unified performance reports.

1|Updated Apr 18, 2026

Search Tags:#automation #analytics #marketing #data #reporting #roas

Ready to run

npx skills add https://github.com/CC90210/CMO-Agent --skill reporting-analytics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reporting-analytics
Source: https://github.com/CC90210/CMO-Agent/tree/main/skills/reporting-analytics
Command: npx skills add https://github.com/CC90210/CMO-Agent --skill reporting-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill eliminates the manual labor of aggregating data across disparate advertising platforms, providing a unified view of performance metrics and actionable insights.

Core Features & Use Cases

Metric Reconciliation: Automatically pulls and normalizes data from Google Ads and Meta Ads to calculate blended ROAS and CPL.
Automated Reporting: Generates daily snapshots, weekly performance reviews, and monthly executive summaries with trend analysis.
Use Case: Use this skill to generate a weekly performance report that highlights top and bottom-performing ads, providing immediate recommendations for budget optimization.

Quick Start

Ask the agent to generate a weekly performance report for the last seven days to review current campaign metrics.

Frequently Asked Questions about reporting-analytics

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

FAQPage Schema

How do I automate cross-platform marketing reporting for Google Ads and Meta Ads?▼

Automate cross-platform marketing reporting by using local script execution to pull and normalize data from Google Ads and Meta Ads APIs. This generates unified performance reports with daily, weekly, or monthly cadences.

What is the best way to calculate blended ROAS and CPL across multiple ad platforms?▼

Calculating blended ROAS and CPL across multiple ad platforms requires metric reconciliation. The skill automatically pulls and normalizes data from Google Ads and Meta Ads to provide a unified view of these performance metrics.

Do I need API connectivity to generate automated weekly performance reports?▼

Yes, API connectivity to your marketing platforms is required. The skill needs this access to pull advertising data and execute local script processing for data aggregation and narrative generation.

Can I use this skill to generate budget optimization recommendations for my ad campaigns?▼

Yes, you can generate budget optimization recommendations. The skill analyzes top and bottom-performing ads within your weekly performance reports to provide immediate, actionable insights for budget allocation.

How does automated cross-platform reporting handle monthly executive summaries?▼

Automated cross-platform reporting handles monthly executive summaries by aggregating and reconciling your advertising data to provide trend analysis. It normalizes metrics to deliver strategic insights for executive review.

What are the limitations of using local script execution for marketing data reconciliation?▼

The limitation of local script execution for marketing data reconciliation is that it strictly supports the Google Ads and Meta Ads ecosystems. You must maintain active API connectivity to these specific platforms for data processing.