ads

Plan, optimize, and audit paid advertising campaigns across Google, Meta, LinkedIn, and TikTok.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/Nurdiansyah0/nurdiansyahlabs-react --skill ads-nurdiansyah0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/Nurdiansyah0/nurdiansyahlabs-react/tree/main/.agents/skills/ads
Command: npx skills add https://github.com/Nurdiansyah0/nurdiansyahlabs-react --skill ads-nurdiansyah0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Running paid ads without a disciplined framework leads to wasted budget, premature campaign kills, and misleading metrics. This Skill provides structured playbooks for campaign strategy, audience targeting, bidding, retargeting, and account audits across major ad platforms. ## Core Features & Use Cases - Platform Playbooks: Decision systems for Meta (Andromeda-era creative strategy), Google Search, LinkedIn B2B, and ABM with kill rules, scaling thresholds, and budget allocation guidance. - Audit Guardrails: Four-state pass/fail/unknown/NA scoring that separates account health from evidence coverage, refuses invented negative keywords, and never sums conversions across attribution windows. - Unit Economics: Payback-period math (CAC/ARPU per plan) replacing misleading blended LTV:CAC ratios for channel affordability decisions. - Use Case: A B2B SaaS team with $15k/month budget asks where to advertise; the Skill recommends LinkedIn and Google Search, structures campaigns with naming conventions, sets breakeven CPL targets from deal math, and defines kill rules before launch. ## Quick Start Ask the assistant to plan a paid advertising strategy for your product, including platform selection, budget allocation, and target CPA based on your deal size and sales cycle.

Frequently Asked Questions about ads

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

FAQPage Schema
How do I choose between Google Ads, Meta, and LinkedIn for B2B advertising?▼

Google Ads captures high-intent search traffic, LinkedIn provides job-title and company targeting for decision-makers, and Meta works for demand generation and cheap retargeting reach. The Skill's platform selection guide maps each platform to audience type, price point, and campaign objective.

When should I kill or pause an underperforming ad?▼

Pause new ads after they spend 2-3x target CPL with zero conversions, and pause established ads when CPL runs 1.5-2x over target. Never pause based on a fixed CPA threshold without checking sample size, conversion lag, and learning-phase status first.

Can I add Meta and Google conversion counts together for a total?▼

No. Meta's 7-day click window and Google's 30-day window measure different things, so summing them produces a meaningless number. Report them side by side and use a neutral source like GA4 or CRM revenue data for a blended view.

Why is blended LTV:CAC misleading for ad budget decisions?▼

Blended LTV:CAC hides per-plan variance under averaged ARPU, so a 3.4:1 ratio can mask an unaffordable $9/month plan and a highly profitable $999/month plan. Use Payback Period (CAC divided by per-plan ARPU) with a 3-12 month target band instead.

How do I audit a Google Ads ecommerce account?▼

Use the 32-check audit checklist covering GMC feed quality, Shopping segmentation, Performance Max signals, Demand Gen formats, and landing-page funnels. Score each check pass, fail, unknown, or not applicable, and keep evidence coverage separate from account health.

What changed in Meta advertising with the Andromeda algorithm?▼

Andromeda rewards creative volume over targeting precision: broad audiences with specific creative outperform interest stacking, statics often beat polished video, and long-form copy gives the algorithm more targeting context. Refresh creative weekly and use identity-trigger keywords in headlines.