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paid-ads

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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

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 trafficgoogle-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, see also: 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

Source

git clone https://github.com/coreyhaines31/marketingskills/tree/main/skills/paid-adsView on GitHub

Overview

Paid Ads is an expert performance marketer who helps create, optimize, and scale paid advertising campaigns across Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, and other ad platforms. It covers campaign strategy, audience targeting, bidding, and optimization, and references bulk ad-creative generation and landing page optimization workflows (ad-creative and page-cro).

How This Skill Works

Begin by gathering product-marketing context and defining goals, then select platforms and build campaigns using standardized naming and budgeting. Apply platform-specific strengths, targeting signals, and bidding strategies, while enforcing testing versus scaling phases and proven ad-copy frameworks. Leverage references to bulk ad-creative (ad-creative) and landing page optimization (page-cro) to drive cohesive cross-channel performance.

When to Use It

  • Planning a new multi-platform paid campaign (Google Ads, Meta, LinkedIn, X).
  • Aiming to improve ROAS or CPA with bidding optimization and budget tuning.
  • Defining audience targeting, retargeting, and lookalike strategies across platforms.
  • Allocating ad spend with a clear funnel and landing page considerations.
  • Generating bulk ad creative and iterating based on performance data (in tandem with landing page optimization).

Quick Start

  1. Step 1: Gather product-marketing context (goals, budget, audience, offer) and specify platform targets.
  2. Step 2: Map Campaign Structure with naming conventions and allocate a testing vs scaling budget plan.
  3. Step 3: Launch with copy frameworks (PAS/BAB) and set up tracking; monitor, optimize, and iterate.

Best Practices

  • Start with product-marketing context: confirm goals, budget, audience, and offer before starting.
  • Define clear campaign goals and targets (CPA/ROAS) and set a monthly/weekly budget.
  • Use standardized naming conventions for campaigns, ad sets, and creatives to stay organized.
  • Adopt structured budget flow: 70/30 during testing and 20-30% increases during scaling, waiting 3-5 days between raises.
  • Apply proven ad-copy frameworks (PAS, BAB, Social Proof Lead) and reference templates for copy and headlines.

Example Use Cases

  • Google Ads Search campaign for a SaaS product with target ROAS, using GOOG_Search_Brand_Demo_Ongoing naming.
  • Meta Ads lead-gen campaign using Lookalike audiences to drive free trial signups, named META_Conv_Lookalike-Customers_FreeTrial_2024Q1.
  • LinkedIn Lead Gen targeting CMOs in SaaS with a whitepaper offer, named LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24.
  • Retargeting campaign across channels to recapture cart abandoners with tailored dynamic creatives.
  • Budget scaling case where winning campaigns receive 20-30% increases after 3-5 days of learning, consolidating into top-performing combinations.

Frequently Asked Questions

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Related Skills

ad-creative

coreyhaines31/marketingskills

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coreyhaines31/marketingskills

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coreyhaines31/marketingskills

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coreyhaines31/marketingskills

When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).

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coreyhaines31/marketingskills

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