ads

Diagnose channel-level spend, ROAS, CAC, and payback to build a multi-channel paid acquisition plan.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill ads-ohsonerdy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/ohsonerdy/openclaw-frontier-stack/tree/main/skills/ads
Command: npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill ads-ohsonerdy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ecomm operators diagnose and fix underperforming paid acquisition by evaluating channel spend, ROAS, CAC, and payback together rather than making single-channel guesses.

Core Features & Use Cases

  • Channel portfolio strategy: Allocates budget across Meta, Google, TikTok, YouTube, and native using concentration and incubation rules.
  • Pause discipline with evidence: Applies a 1/2/3-week negative-ROAS decision framework to prevent “wait longer” over-spending.
  • Attribution-model-aware recommendations: Reconciles last-click vs multi-touch (and MMM when available) before pausing or scaling.
  • Channel-state diagnostics: Classifies channels as scaling well, at ceiling, diminishing returns, declining without scale, or negative—then prescribes the matching action.
  • Next-2-4-weeks action planning: Outputs recommended spend per channel, creative refresh actions, and test ideas for new audiences or channels.

Quick Start

Use the ads skill to plan your next 2-4 weeks of spend and pause/scale decisions across Meta, Google, TikTok, YouTube, and native based on your last 90 days of spend and ROAS.

Frequently Asked Questions about ads

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

FAQPage Schema
How do I optimize my paid acquisition budget across Meta, Google, and TikTok?

To optimize paid acquisition budget across Meta, Google, and TikTok, you diagnose spend, ROAS, CAC, and payback at the channel level to classify channel states and output a 2-to-4-week scaling or pausing plan.

When should I pause an underperforming ad channel instead of waiting for it to recover?

You should pause an underperforming ad channel using a 1/2/3-week negative-ROAS decision framework, which applies pause discipline based on evidence to prevent over-spending during prolonged waiting periods.

How does attribution model reconciliation affect media buying decisions?

Attribution model reconciliation affects media buying by comparing last-click versus multi-touch and MMM data before pausing or scaling, ensuring channel-state diagnostics reflect true performance rather than single-touch bias.

Can I use this for ecomm channel mix strategy across YouTube and native networks?

Yes, you can use this for ecomm channel mix strategy across YouTube and native networks by applying concentration and incubation rules to allocate spend based on portfolio performance across all supported channels.

What data do I need to plan a 2-to-4-week paid acquisition test schedule?

To plan a 2-to-4-week paid acquisition test schedule, you need structured pulls of spend, ROAS, CAC, and payback data from the last 90 days, optionally gathered via modern-mcp, to generate creative refresh actions and new audience tests.

What is the best way to diagnose diminishing returns in a paid media portfolio?

The best way to diagnose diminishing returns in a paid media portfolio is to classify each channel's state—scaling well, at ceiling, declining, or negative—then prescribe matching budget actions for the next 2-to-4 weeks.