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paid-ads

paid-ads

github.com/coreyhaines31Marketing & growth57.1k54.7k installsUpdated 1d ago
Repository

About paid-ads

paid-ads is a skill for performance marketers planning and optimizing paid campaigns. It covers platform selection, audience targeting, creative testing, budgeting, retargeting, and campaign analysis.

Key features

  1. 01Define campaign goals and budgets
  2. 02Compare platforms and targeting options
  3. 03Plan campaign structure and naming
  4. 04Create ads with copy frameworks
  5. 05Analyze metrics and adjust campaigns
  6. 06Plan retargeting and conversion tracking

Use cases

  1. 01Plan paid customer acquisition campaigns
  2. 02Test creative and audience combinations
  3. 03Address high CPA or low CTR
  4. 04Design retargeting by funnel stage

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/coreyhaines31/marketingskills --skill paid-ads

After installing, type/paid-adsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

evals/
evals.json
references/
ad-copy-templates.md
audience-targeting.md
conversion-tracking.md
platform-setup-checklists.md

Details

From the project README

Paid Ads

You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Campaign Goals
  • What's the primary objective? (Awareness, traffic, leads, sales, app installs)
  • What's the target CPA or ROAS?
  • What's the monthly/weekly budget?
  • Any constraints? (Brand guidelines, compliance, geographic)
2. Product & Offer
  • What are you promoting? (Product, free trial, lead magnet, demo)
  • What's the landing page URL?
  • What makes this offer compelling?
3. Audience
  • Who is the ideal customer?
  • What problem does your product solve for them?
  • What are they searching for or interested in?
  • Do you have existing customer data for lookalikes?
4. Current State
  • Have you run ads before? What worked/didn't?
  • Do you have existing pixel/conversion data?
  • What's your current funnel conversion rate?

Platform Selection Guide

PlatformBest ForUse When
Google AdsHigh-intent search trafficPeople actively search for your solution
MetaDemand generation, visual productsCreating demand, strong creative assets
LinkedInB2B, decision-makersJob title/company targeting matters, higher price points
Twitter/XTech audiences, thought leadershipAudience is active on X, timely content
TikTokYounger demographics, viral creativeAudience skews 18-34, video capacity

Campaign Structure Best Practices

Account Organization
Account
├── Campaign 1: [Objective] - [Audience/Product]
│   ├── Ad Set 1: [Targeting variation]
│   │   ├── Ad 1: [Creative variation A]
│   │   ├── Ad 2: [Creative variation B]
│   │   └── Ad 3: [Creative variation C]
│   └── Ad Set 2: [Targeting variation]
└── Campaign 2...
Naming Conventions
[Platform]_[Objective]_[Audience]_[Offer]_[Date]

Examples:
META_Conv_Lookalike-Customers_FreeTrial_2024Q1
GOOG_Search_Brand_Demo_Ongoing
LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24
Budget Allocation

Testing phase (first 2-4 weeks):

  • 70% to proven/safe campaigns
  • 30% to testing new audiences/creative

Scaling phase:

  • Consolidate budget into winning combinations
  • Increase budgets 20-30% at a time
  • Wait 3-5 days between increases for algorithm learning

Ad Copy Frameworks

Key Formulas

Problem-Agitate-Solve (PAS):

[Problem] → [Agitate the pain] → [Introduce solution] → [CTA]

Before-After-Bridge (BAB):

[Current painful state] → [Desired future state] → [Your product as bridge]

Social Proof Lead:

[Impressive stat or testimonial] → [What you do] → [CTA]

For detailed templates and headline formulas: See references/ad-copy-templates.md


Audience Targeting Overview

Platform Strengths
PlatformKey TargetingBest Signals
GoogleKeywords, search intentWhat they're searching
MetaInterests, behaviors, lookalikesEngagement patterns
LinkedInJob titles, companies, industriesProfessional identity
Key Concepts
  • Lookalikes: Base on best customers (by LTV), not all customers
  • Retargeting: Segment by funnel stage (visitors vs. cart abandoners)
  • Exclusions: Exclude existing customers and recent converters — showing ads to people who already bought wastes spend

For detailed targeting strategies by platform: See references/audience-targeting.md


Creative Best Practices

Image Ads
  • Clear product screenshots showing UI
  • Before/after comparisons
  • Stats and numbers as focal point
  • Human faces (real, not stock)
  • Bold, readable text overlay (keep under 20%)
Video Ads Structure (15-30 sec)
  1. Hook (0-3 sec): Pattern interrupt, question, or bold statement
  2. Problem (3-8 sec): Relatable pain point
  3. Solution (8-20 sec): Show product/benefit
  4. CTA (20-30 sec): Clear next step

Production tips:

  • Captions always (85% watch without sound)
  • Vertical for Stories/Reels, square for feed
  • Native feel outperforms polished
  • First 3 seconds determine if they watch
Creative Testing Hierarchy
  1. Concept/angle (biggest impact)
  2. Hook/headline
  3. Visual style
  4. Body copy
  5. CTA

Campaign Optimization

Key Metrics by Objective
ObjectivePrimary Metrics
AwarenessCPM, Reach, Video view rate
ConsiderationCTR, CPC, Time on site
ConversionCPA, ROAS, Conversion rate
Optimization Levers

If CPA is too high:

  1. Check landing page (is the problem post-click?)
  2. Tighten audience targeting
  3. Test new creative angles
  4. Improve ad relevance/quality score
  5. Adjust bid strategy

If CTR is low:

  • Creative isn't resonating → test new hooks/angles
  • Audience mismatch → refine targeting
  • Ad fatigue → refresh creative

If CPM is high:

  • Audience too narrow → expand targeting
  • High competition → try different placements
  • Low relevance score → improve creative fit
Bid Strategy Progression
  1. Start with manual or cost caps
  2. Gather conversion data (50+ conversions)
  3. Switch to automated with targets based on historical data
  4. Monitor and adjust targets based on results

Retargeting Strategies

Funnel-Based Approach
Funnel StageAudienceMessageGoal
TopBlog readers, video viewersEducational, social proofMove to consideration
MiddlePricing/feature page visitorsCase studies, demosMove to decision
BottomCart abandoners, trial usersUrgency, objection handlingConvert
Retargeting Windows
StageWindowFrequency Cap
Hot (cart/trial)1-7 daysHigher OK
Warm (key pages)7-30 days3-5x/week
Cold (any visit)30-90 days1-2x/week
Exclusions to Set Up
  • Existing customers (unless upsell)
  • Recent converters (7-14 day window)
  • Bounced visitors (<10 sec)
  • Irrelevant pages (careers, support)

Reporting & Analysis

Weekly Review
  • Spend vs. budget pacing
  • CPA/ROAS vs. targets
  • Top and bottom performing ads
  • Audience performance breakdown
  • Frequency check (fatigue risk)
  • Landing page conversion rate
Attribution Considerations
  • Platform attribution is inflated
  • Use UTM parameters consistently
  • Compare platform data to GA4
  • Look at blended CAC, not just platform CPA

Platform Setup

Before launching campaigns, ensure proper tracking and account setup.

For complete setup checklists by platform: See references/platform-setup-checklists.md

For conversion pixel installation and event setup: See references/conversion-tracking.md

Universal Pre-Launch Checklist
  • Conversion tracking tested with real conversion
  • Landing page loads fast (<3 sec)
  • Landing page mobile-friendly
  • UTM parameters working
  • Budget set correctly
  • Targeting matches intended audience

Common Mistakes to Avoid

Strategy
  • Launching without conversion tracking
  • Too many campaigns (fragmenting budget)
  • Not giving algorithms enough learning time
  • Optimizing for wrong metric
Targeting
  • Audiences too narrow or too broad
  • Not excluding existing customers
  • Overlapping audiences competing
Creative
  • Only one ad per ad set
  • Not refreshing creative (fatigue)
  • Mismatch between ad and landing page
Budget
  • Spreading too thin across campaigns
  • Making big budget changes (disrupts learning)
  • Stopping campaigns during learning phase

Task-Specific Questions

  1. What platform(s) are you currently running or want to start with?
  2. What's your monthly ad budget?
  3. What does a successful conversion look like (and what's it worth)?
  4. Do you have existing creative assets or need to create them?
  5. What landing page will ads point to?
  6. Do you have pixel/conversion tracking set up?

Tool Integrations

For implementation, see the tools registry. Key advertising platforms:

PlatformBest ForMCPGuide
Google AdsSearch intent, high-intent traffic✓google-ads.md
Meta AdsDemand gen, visual products, B2C-meta-ads.md
LinkedIn AdsB2B, job title targeting-linkedin-ads.md
TikTok AdsYounger demographics, video-tiktok-ads.md

For tracking setup, see references/conversion-tracking.md, ga4.md, segment.md


Related Skills

  • ad-creative: For generating and iterating ad headlines, descriptions, and creative at scale
  • copywriting: For landing page copy that converts ad traffic
  • analytics-tracking: For proper conversion tracking setup
  • ab-test-setup: For landing page testing to improve ROAS
  • page-cro: For optimizing post-click conversion rates

Comments

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