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ads-management

Automate paid advertising campaign planning and optimization across Google, Meta, LinkedIn, and TikTok.

2|Updated Jan 9, 2026

Search Tags:#audience-targeting #paid-ads #campaign-planning #platform-optimization #a/b-testing #ads-management #roas-tracking

Ready to run

npx skills add https://github.com/NammDev/Goads-Krea --skill ads-management-nammdev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ads-management
Source: https://github.com/NammDev/Goads-Krea/tree/main/.claude/skills/ads-management
Command: npx skills add https://github.com/NammDev/Goads-Krea --skill ads-management-nammdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinating and optimizing paid advertising campaigns across multiple platforms is complex, time-consuming, and prone to misalignment between objectives, copy, targeting, and measurement.

Core Features & Use Cases

Campaign setup & orchestration: define objectives, budgets, and schedules across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads.
Creative & Copy templates: provides platform-aligned ad copy and creative guidelines for rapid testing.
Targeting & optimization: supports audience targeting, A/B testing, bid strategies, and ROAS tracking to maximize efficiency.
Reporting & playbooks: includes references and playbooks to guide scaling, optimization, and cross-platform coordination.

Quick Start

Create a complete paid ads plan for Google, Meta, LinkedIn, and TikTok with targeting, budgets, copy, and success metrics.

Frequently Asked Questions about ads-management

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

FAQPage Schema

How do I plan paid ads campaigns across multiple platforms like Google and Meta?▼

Planning paid ads across platforms involves defining objectives, budgets, and schedules, then applying platform-aligned copy templates and audience targeting to coordinate Google, Meta, LinkedIn, and TikTok campaigns.

What is ROAS tracking and how does it optimize ad spend?▼

ROAS tracking measures return on ad spend to maximize campaign efficiency. It uses bid strategies and A/B testing data to evaluate performance, guiding budget optimization and scaling decisions across advertising platforms.

Can I use this approach for audience targeting on LinkedIn Ads and TikTok Ads?▼

Yes, audience targeting is supported for LinkedIn Ads and TikTok Ads. The process applies targeting guides and platform specifications to define and reach specific audience segments across these networks.

What's the best way to structure A/B testing for ad copy and creative?▼

The best way to structure A/B testing for ad copy is using platform-aligned creative templates. This enables rapid testing of variations to identify high-performing assets before scaling budgets across campaigns.

When do I need optimization playbooks for cross-platform campaign coordination?▼

You need optimization playbooks when scaling campaigns and resolving misalignment between objectives, targeting, and measurement. They provide repeatable reporting outputs and strategies for cross-platform coordination.