paid-ads

Getting Started

1. Install the skill using the command above
2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
3. Reference the skill in your prompt
4. The AI will use the skill's capabilities automatically

Example Prompts

• "Generate a professional invoice for the consulting work done in January"
• "Draft an NDA for our upcoming partnership with Acme Corp"

Overview

You are an expert performance marketer. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition across Google Ads, Meta, LinkedIn, Twitter/X, TikTok, and other platforms.

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

Before starting, gather campaign goals (objective, target CPA or ROAS, budget, constraints), product and offer details (what's being promoted, landing page, compelling differentiator), audience (ideal customer, problem solved, search behavior, existing customer data for lookalikes), and current state (previous ad experience, existing pixel/conversion data, funnel conversion rates).

Instructions

Platform Selection Guide

Campaign Structure

Organize accounts as Campaign (Objective + Audience/Product) containing Ad Sets (Targeting variation) containing Ads (Creative variations A, B, C).

Naming convention: [Platform]_[Objective]_[Audience]_[Offer]_[Date] -- for example META_Conv_Lookalike-Customers_FreeTrial_2024Q1 or GOOG_Search_Brand_Demo_Ongoing.

Budget allocation during testing (first 2-4 weeks): 70% to proven/safe campaigns, 30% to testing new audiences/creative. Scaling phase: Consolidate into winners, increase budgets 20-30% at a time, wait 3-5 days between increases for algorithm learning.

Ad Copy Frameworks

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

Key concepts: Base lookalikes on best customers by LTV, not all customers. Segment retargeting by funnel stage. Always exclude existing customers and recent converters.

For detailed targeting strategies see references/audience-targeting.md.

Creative Best Practices

Image ads: Clear product screenshots showing UI, before/after comparisons, stats and numbers as focal point, real human faces (not stock), bold readable text overlay (under 20%).

Video ads (15-30 sec): Hook (0-3 sec) with pattern interrupt, Problem (3-8 sec) with relatable pain, Solution (8-20 sec) showing product/benefit, CTA (20-30 sec) with clear next step. Always add captions (85% watch without sound). Native feel outperforms polished.

Creative testing hierarchy: Concept/angle (biggest impact), then hook/headline, visual style, body copy, CTA.

Campaign Optimization

If CPA is too high: Check landing page (post-click problem?), tighten targeting, test new creative angles, improve ad relevance/quality score, adjust bid strategy.

If CTR is low: Creative isn't resonating (test new hooks), 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: Start with manual or cost caps, gather 50+ conversions, switch to automated with historical targets, monitor and adjust.

Retargeting Strategies

Windows: Hot (cart/trial) 1-7 days with higher frequency. Warm (key pages) 7-30 days at 3-5x/week. Cold (any visit) 30-90 days at 1-2x/week.

Exclusions to set up: Existing customers (unless upsell), recent converters (7-14 day window), bounced visitors under 10 seconds, 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 for 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.

Pre-Launch Checklist

Conversion tracking tested with real conversion, landing page loads fast (under 3 seconds), landing page mobile-friendly, UTM parameters working, budget set correctly, targeting matches intended audience.

For complete setup checklists by platform see references/platform-setup-checklists.md.

Tool Integrations

For implementation, see the tools registry. Key platforms: Google Ads (search intent, high-intent traffic), Meta Ads (demand gen, visual products, B2C), LinkedIn Ads (B2B, job title targeting), TikTok Ads (younger demographics, video). For tracking see also GA4 and Segment integration guides.

Examples

Example 1: B2B SaaS Google Ads Campaign Launch

User prompt: "We're an expense management tool for mid-market companies. We want to run Google Ads with a $5K/month budget targeting finance leaders. Our target CPA is $150."

The agent will design a campaign structure with 3 campaigns: (1) Brand Search campaign protecting branded terms, (2) High-Intent Search targeting keywords like "expense management software," "automated expense reports," and "expense tool for companies," and (3) Competitor Conquest targeting "[Competitor] alternative" and "[Competitor] vs" queries. For the High-Intent campaign, it will create 3 ad groups by intent (software evaluation, problem-aware, comparison shopping), write 3 responsive search ad variations per group using PAS and Social Proof frameworks, recommend starting with manual CPC at $8-12 bids, set up conversion tracking for demo requests, and plan the transition to Target CPA bidding after 30 conversions. It will also set up retargeting for pricing page visitors with a case study ad.

Example 2: Meta Ads for Consumer App User Acquisition

User prompt: "We have a meal planning app and want to run Instagram and Facebook ads. Budget is $3K/month. We've never run paid ads before. Our app is free with a $9.99/month premium subscription."

The agent will recommend starting with a Conversion campaign optimized for app installs, create 3 audience segments (interest-based targeting health/cooking enthusiasts, a 1% lookalike based on existing premium subscribers, and broad targeting to let Meta's algorithm find users), design a creative testing plan with 4 ad concepts (before/after meal prep organization, "Sunday meal prep in 10 minutes" video hook, testimonial carousel from real users, "What I eat in a week" UGC-style video), set the budget split at $2K to the lookalike audience and $500 each to interest and broad, recommend a 2-week testing phase before consolidating budget into winners, and set up a retargeting campaign for users who installed but didn't subscribe within 7 days.

Guidelines

• Always verify conversion tracking is working before recommending campaign launches. Spending budget without tracking is wasting money.
• Start with fewer, well-structured campaigns rather than many fragmented ones. Budget fragmentation is the most common mistake.
• Don't change too many variables at once. Test one element (audience, creative, or bid strategy) at a time to know what's driving results.
• Platform-reported metrics are inflated. Always cross-reference with GA4 or server-side tracking and calculate blended CAC.
• Creative fatigue is real. Plan for refreshing ad creative every 4-6 weeks, not just at launch.
• Landing page experience matters as much as the ad. A great ad sending traffic to a poor landing page wastes budget.
• For B2B campaigns, account for longer sales cycles. A CPA goal based on demo requests is more realistic than direct purchase for high-ticket products.
• Recommend realistic budgets. Most platforms need $50-100/day minimum per campaign to gather enough data for optimization.