monthly-paid-review

Automates monthly paid-media reporting by aggregating brand KPIs from multiple sources.

Updated Jun 1, 2026
One-click install
npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill monthly-paid-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monthly-paid-review
Source: https://github.com/Nikolaj-Storm/Mad-Minds/tree/main/onlineminds-marketing/skills/monthly-paid-review
Command: npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill monthly-paid-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monthly paid-media performance reviews are manual, time-consuming, and error-prone across multiple data sources. This guide automates data collection, reconciliation, and reporting to produce a consistent, templated report in the Marketing Hub.

Core Features & Use Cases

  • Reads house KPIs and the Drive folder map from account-conventions to align data sources.
  • Pulls last month’s spend, conversions, and ROAS from ad-platform connectors (or cleaned hub data); compares to prior month and targets.
  • Detects feed-health issues (disapprovals, missing GTINs, price mismatches) for shopping/merchant feeds.
  • Writes a finished report into the Marketing Hub for brand-specific review and distribution.
  • Use cases: monthly paid review, paid-media summary, or quick “how did paid do last month” inquiries.

Quick Start

Generate the monthly paid review for a brand for the most recently completed calendar month.

Frequently Asked Questions about monthly-paid-review

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

FAQPage Schema
How do I automate monthly paid-media reporting across Google Ads and Meta Ads?

Automate monthly paid-media reporting by aggregating brand KPIs from account-conventions, hub data, and live ad-platform exports to generate a templated Marketing Hub report. The process pulls spend, conversions, and ROAS data from Google Ads and Meta Ads to produce a finished performance summary automatically.

Can I detect shopping feed-health issues like disapprovals and missing GTINs during a monthly paid review?

Monthly paid reviews can detect shopping feed-health issues by analyzing Shopping and PMax feeds for disapprovals, missing GTINs, and price mismatches. This feed-health detection runs alongside standard ROAS and spend reconciliation during the automated reporting process.

What data sources do I need to generate a monthly paid-media performance report?

Generating a monthly paid-media report requires access to account-conventions for house KPIs, cleaned or raw data exports from ad-platform connectors, and the monthly reporting template. The process reads the Drive folder map and targets from these sources to align data for the Marketing Hub.

How does an automated paid-media summary handle missing data or incomplete ad-platform exports?

Automated paid-media summaries handle missing data gracefully by reconciling available cleaned hub data and live exports without failing the entire report. This ensures the monthly Marketing Hub report still generates MoM comparisons even when specific ad-platform data is incomplete.

What is the best way to compare month-over-month ROAS and spend for multiple brands?

Compare month-over-month ROAS and spend by pulling last month’s metrics from ad-platform connectors, then benchmarking them against prior month data and house-standard targets. This automated comparison aligns brand KPIs from account-conventions to output consistent performance summaries.

Does automated paid-media reporting work for both raw and cleaned data exports?

Automated paid-media reporting works with both cleaned hub data and raw ad-platform exports to aggregate spend, conversions, and ROAS. It reads house KPIs and folder mappings from account-conventions to process either data format into a finished Marketing Hub report.