ads

Plan, optimize, and scale paid advertising campaigns across Google, Meta, LinkedIn, and other ad platforms.

Updated Jul 14, 2026
One-click install
npx skills add https://github.com/ingresarios-ai/launchago26 --skill ads-ingresarios-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/ingresarios-ai/launchago26/tree/main/.agents/skills/ads
Command: npx skills add https://github.com/ingresarios-ai/launchago26 --skill ads-ingresarios-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Running paid ads without a system leads to wasted budget, junk leads, and emotional kill/scale decisions. This Skill provides platform-specific playbooks, quantified decision thresholds, and campaign structure frameworks so every advertising decision is grounded in unit economics rather than guesswork. ## Core Features & Use Cases - Platform Playbooks: Operational rules for Google Search (intent ladder, match types, negatives, PMax guardrails), Meta (TCPL-anchored kill/keep/scale decision system, fatigue bands, Advantage+ transition), LinkedIn (bidding progression, audience sizing, thought leader ads), and ABM (named-account targeting, cross-channel UTM remarketing). - B2B Unit Economics: Breakeven CPL/CPC math, lead quality scoring (Urgency/Budget/Fit), offline conversion loop setup, and kill rules keyed to target CPL. - Campaign Structure & Creative Guidance: Naming conventions, budget allocation, retargeting frameworks, ad copy formulas, and landing page headline-mirroring. - Use Case: A B2B SaaS team spending $15k/month asks whether to kill an underperforming Meta ad. The Skill loads the Meta decision system, checks spend against 3x TCPL, evaluates qualified-lead rate from the CRM, and returns a kill/iterate/scale verdict with a staged replacement plan. ## Quick Start Ask the assistant to build a paid ads strategy for your product, budget, and target audience across Google, Meta, or LinkedIn.

Frequently Asked Questions about ads

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

FAQPage Schema
How do I decide when to kill an underperforming Meta ad?▼

Use the TCPL-anchored decision system: wait until an ad spends 3x your target cost per qualified lead, then kill it if it has zero qualified leads, a qualified rate under 40%, or cost per qualified lead above 1.5x target. Never pause without a staged replacement.

How should I structure Google Ads campaigns for B2B?▼

Split brand, high-intent non-brand, competitor, and remarketing into separate campaigns with independent budgets. Use themed ad groups of 5-15 keywords, start with phrase and exact match, and only introduce broad match after 30+ conversions per month with smart bidding and a tight negative list.

Which ad platform is best for B2B lead generation?▼

LinkedIn offers the most precise B2B targeting by job title and company but at the highest CPMs, while Google Search captures existing high-intent demand. Meta works for cheaper retargeting and air cover; a common ABM split is roughly 60% LinkedIn, 30% Meta, 10% other.

Does this Skill generate ad copy and creative variations?▼

Bulk ad creative generation is delegated to the separate ad-creative skill. This Skill covers campaign strategy, targeting, bidding, and optimization, and includes copy formulas and an RSA output spec for Google Ads when needed.

Why are my Meta leads low quality even with a good CPL?▼

Frictionless auto-filled lead forms produce leads who do not remember converting. Use the Higher Intent form type, require a work email, add 1-3 qualification questions, and import CRM outcomes back to the platform so bidding optimizes for pipeline instead of form-fills.

When should I not scale my ad budget?▼

Do not scale when proven-ad inventory is below the minimum (roughly monthly budget divided by $5,000), account frequency exceeds 3.0, or cost per qualified lead has exceeded 1.5x target. Raise budgets in 20% steps every 5 days, never 30% or more at once.