vasilyu1983

marketing-paid-advertising

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.

vasilyu1983 81 17 Updated 6mo ago
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npx skillscat add vasilyu1983/ai-agents-public/marketing-paid-advertising

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About this skill

This skill provides a structured approach to paid advertising across Google, Meta, TikTok, and LinkedIn, covering campaign setup, bidding, audience targeting, creative strategy, measurement, budget allocation, and unit economics including CAC, LTV, and revenue attribution. It addresses the challenge of optimizing paid acquisition campaigns for profitability and performance rather than just volume metrics.

SKILL.md

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

Scenario Use Instead
Organic social marketing-social-media
SEO/content marketing-seo-complete
Landing pages marketing-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

Platform Best For Typical Cost (Relative)
Google Search High intent capture Medium
Meta Efficient demand creation + retargeting Low–Medium
LinkedIn B2B precision, ABM High
TikTok Low-cost reach + creative velocity Low

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

Strategy When to Use
Manual CPC <50 conversions/month
Target CPA 50-100 conversions
Target ROAS >100 conversions

Budget Allocation

Stage % of Budget
Brand 10-20%
Prospecting 40-60%
Retargeting 20-30%
Testing 10-15%

Unit Economics

LTV:CAC Status Action
< 1:1 Losing money Stop spending
3:1 Healthy Maintain/scale
> 5:1 Under-investing Scale 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

Metric Target
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

Resource Purpose
data/sources.json Authoritative sources (platform docs, measurement, privacy)
references/google-ads-guide.md Google specifics
references/meta-ads-guide.md Meta specifics
references/tiktok-ads-guide.md TikTok specifics
references/linkedin-ads-guide.md LinkedIn specifics
references/unit-economics-guide.md CAC/LTV deep dive
references/revenue-attribution-guide.md Attribution models
references/sales-alignment-guide.md Pipeline + CRM alignment
references/operational-sops.md Weekly/monthly SOPs
references/programmatic-display.md Programmatic buying, DSPs, DOOH
references/remarketing-retargeting.md Retargeting strategy + windows
references/youtube-ads-guide.md YouTube + Shorts specifics
references/creative-testing-ads.md Creative testing methodology
references/privacy-cookieless-ads.md Privacy-first advertising
references/amazon-ads-guide.md Amazon Sponsored Products/Brands/Display, DSP
references/microsoft-ads-guide.md Bing/Microsoft Ads, LinkedIn targeting, Copilot

Templates

Template Purpose
assets/campaign-structure.md Campaign hierarchy
assets/budget-allocation.md Budget planning
assets/unit-economics-calculator.md CAC/LTV calculator
assets/creative-brief.md Ad creative spec
assets/google-rsa-asset-pack.md RSA copy + asset pack
assets/creative-test-plan.md Creative testing cadence
assets/performance-review.md Weekly/monthly review doc

International Markets

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

Need See 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 benchmarks marketing-geo-localization

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


Related Skills

Skill Purpose
marketing-geo-localization International markets
marketing-leads-generation Lead capture
marketing-cro Landing optimization
startup-go-to-market Channel strategy