Marketing Paid Advertising: Install, Source and Security | FunnelSlayer

Marketing Paid Advertising

Published by vasilyu1983 in ai-agents-public

Review recommended102 installs

What this skill does

Paid advertising strategy for Google, Meta, TikTok, LinkedIn - campaign structure, bidding, audiences, creative, measurement, budget allocation, unit economics (CAC/LTV), revenue attribution, incrementality, payback period, and sales alignment.

Add Marketing Paid Advertising to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "marketing-paid-advertising" from https://github.com/vasilyu1983/ai-agents-public

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/vasilyu1983/ai-agents-public --skill marketing-paid-advertising

Skill instructions

PAID ADVERTISING — ACQUISITION OS (OPERATIONAL)

No-fluff execution skill for paid acquisition across Google, Meta, TikTok, LinkedIn.

References: Google Ads, Meta Business, TikTok Ads, LinkedIn Campaign Manager


Modern Best Practices (January 2026)

  • Algorithmic buying wins when you provide strong signals: clean conversion events, value, and enough volume per campaign to learn.
  • Creative is the main lever on social: plan for volume and refresh cadence; treat creative like a product pipeline.
  • Default measurement: server-side signals where possible (Enhanced Conversions / Conversions API / Events API), consistent UTMs, and closed-loop revenue in CRM.
  • Use attribution as directional; use incrementality tests to answer budget questions (geo-lift/holdouts) when stakes are high.
  • Optimize to profit and payback (not just CPL/ROAS) when margins, refunds, or LTV vary materially.
  • Compliance is non-negotiable: platform policies, privacy consent, and avoiding sensitive targeting/claims.

When to Use

  • New campaigns: structure, audiences, bidding, creative
  • Scaling spend: budget allocation, ROAS targets
  • Platform selection: which channels for which goals
  • Unit economics: CAC/LTV modeling, payback period
  • Revenue attribution: multi-touch, incrementality

When NOT to Use

ScenarioUse Instead
Organic socialmarketing-social-media
SEO/contentmarketing-seo-complete
Landing pagesmarketing-cro

Quick Start (What I Need From You)

  • Goal: revenue, pipeline, leads, trials, purchases (pick 1 primary)
  • ICP/offer: who, pain, positioning, price/ACV, gross margin, refund rate (if relevant)
  • Geo/language + budget horizon (test budget + monthly cap)
  • Tracking: conversion events + where they’re recorded (GA4, CRM, Shopify, app DB), attribution window expectations
  • Constraints: creative/brand limits, compliance constraints, sales capacity + SLAs (B2B)

If unknown, start with assumptions and label them; then validate with data in week 1.


Platform Selection

PlatformBest ForTypical Cost (Relative)
Google SearchHigh intent captureMedium
MetaEfficient demand creation + retargetingLow–Medium
LinkedInB2B precision, ABMHigh
TikTokLow-cost reach + creative velocityLow

Note: Costs vary massively by industry, geo, offer, tracking quality, and seasonality. Use as directional only.

Decision Tree

HIGH INTENT?
├─ YES → Google Search (always include)
└─ NO → What's your goal?
    ├─ Awareness → Meta, TikTok, YouTube
    ├─ B2B/Enterprise → LinkedIn, Google
    └─ E-commerce → Meta, Google Shopping

Measurement & Tracking (2026 Default)

Minimum viable measurement before scaling:

  • Conversion events defined (lead, SQL, purchase, subscription) with dedupe and clear “source of truth”
  • UTMs standardized across every platform
  • Server-side signals where feasible:
    • Google: Enhanced Conversions + offline conversion imports (B2B)
    • Meta: Pixel + Conversions API
    • TikTok: Pixel + Events API
    • LinkedIn: Insight Tag + offline conversions (when available)
  • Reporting views: spend → conversions → revenue/pipeline (weekly), incrementality tests (quarterly or when budgets materially change)

For deep dives: references/revenue-attribution-guide.md, references/sales-alignment-guide.md.


Campaign Structure

Google Ads

├─ Campaign: Brand (Search)
├─ Campaign: Non-Brand (Search)
├─ Campaign: Retargeting (Display)
└─ Campaign: Performance Max

Meta Ads

├─ Campaign: Prospecting
│   ├─ Ad Set: Lookalike 1%
│   └─ Ad Set: Broad (Advantage+)
├─ Campaign: Retargeting
└─ Campaign: Testing

Bidding Strategy

StrategyWhen to Use
Manual CPC<50 conversions/month
Target CPA50-100 conversions
Target ROAS>100 conversions

Budget Allocation

Stage% of Budget
Brand10-20%
Prospecting40-60%
Retargeting20-30%
Testing10-15%

Unit Economics

LTV:CACStatusAction
< 1:1Losing moneyStop spending
3:1HealthyMaintain/scale
> 5:1Under-investingScale aggressively

Payback Targets:

  • B2C SaaS: < 6 months
  • B2B SaaS: < 12 months
  • E-commerce: < 3 months

Decision Tree (Triage)

CPL too high?
├─ Check audience size
├─ Check creative CTR (<1% = new creative)
├─ Check landing page CVR (<2% = landing issue)
└─ Check bid strategy

ROAS below target?
├─ Check conversion tracking
├─ Check audience quality
└─ Check offer strength

Metrics

MetricTarget
CTR>1% (creative health)
CVR>2% (landing health)
Frequency<3 (fatigue)
Quality Score>6 (Google)

Anti-Patterns

  • Changing bids daily → Wait 2-4 weeks
  • Too many audiences → Use 3-5 max
  • Single creative → Use 3-5 variants
  • No negative keywords → Build weekly

Resources

ResourcePurpose
data/sources.jsonAuthoritative sources (platform docs, measurement, privacy)
references/google-ads-guide.mdGoogle specifics
references/meta-ads-guide.mdMeta specifics
references/tiktok-ads-guide.mdTikTok specifics
references/linkedin-ads-guide.mdLinkedIn specifics
references/unit-economics-guide.mdCAC/LTV deep dive
references/revenue-attribution-guide.mdAttribution models
references/sales-alignment-guide.mdPipeline + CRM alignment
references/operational-sops.mdWeekly/monthly SOPs
references/programmatic-display.mdProgrammatic buying, DSPs, DOOH
references/remarketing-retargeting.mdRetargeting strategy + windows
references/youtube-ads-guide.mdYouTube + Shorts specifics
references/creative-testing-ads.mdCreative testing methodology
references/privacy-cookieless-ads.mdPrivacy-first advertising
references/amazon-ads-guide.mdAmazon Sponsored Products/Brands/Display, DSP
references/microsoft-ads-guide.mdBing/Microsoft Ads, LinkedIn targeting, Copilot

Templates

TemplatePurpose
assets/campaign-structure.mdCampaign hierarchy
assets/budget-allocation.mdBudget planning
assets/unit-economics-calculator.mdCAC/LTV calculator
assets/creative-brief.mdAd creative spec
assets/google-rsa-asset-pack.mdRSA copy + asset pack
assets/creative-test-plan.mdCreative testing cadence
assets/performance-review.mdWeekly/monthly review doc

International Markets

This skill covers US-centric platforms. For regional advertising:

NeedSee Skill
China platforms (Baidu, WeChat, Douyin)marketing-geo-localization
Japan/Korea (Yahoo Japan, Naver, Kakao)marketing-geo-localization
Russia/CIS (Yandex, VK)marketing-geo-localization
Regional CAC benchmarksmarketing-geo-localization

Tip: If your query mentions regional platforms or specific countries, also use marketing-geo-localization.


Related Skills

SkillPurpose
marketing-geo-localizationInternational markets
marketing-leads-generationLead capture
marketing-croLanding optimization
startup-go-to-marketChannel strategy

Files included

  • SKILL.md

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