skills/seo/strategy/paid-ads/SKILL.md
When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC," "SEM," "Google Ads," "Meta Ads," "LinkedIn Ads," "ad spend," "ad budget," "ROAS," "paid acquisition," "Quality Score," or "ad-to-page alignment."
npx skillsauth add irismaker/ai-agent-skills-hub paid-ads-strategyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Guides paid ads strategy: when to use paid acquisition, channel selection, budget allocation, and ad-to-landing-page alignment. Paid ads (Google Ads, Meta, LinkedIn, etc.) deliver immediate reach and targeting; use when PMF is validated and budget allows.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
| Condition | Rationale | |-----------|-----------| | PMF validated | Product-market fit confirmed; you know who buys and why | | Budget available | CAC and LTV modeled; ROAS target set | | Need speed | Organic takes months; paid delivers traffic immediately | | Targeting clarity | Audience segments defined; can target precisely |
| Condition | Rationale | |-----------|-----------| | Pre-PMF | Paid ads before product-market fit waste budget; validate demand first. See cold-start-strategy | | No conversion tracking | Can't measure ROAS; optimize blindly | | Organic can work | SEO, content, community may achieve goal at lower cost; see seo-strategy | | Budget too small | Need minimum scale to test; $500–1K often insufficient for statistical significance |
Cold start: Avoid paid ads before PMF validation. Use Product Hunt, Reddit, directories, founder-led outbound first. See cold-start-strategy.
| Channel | Best for | Typical use | |---------|----------|--------------| | Google Ads (Search) | High-intent queries; commercial/transactional | PPC; keyword-targeted; landing page critical | | Google Ads (Display/YouTube) | Awareness; retargeting | Broader reach; lower intent | | Meta (Facebook/Instagram) | B2C; demographic targeting | Awareness, consideration; creative-driven | | LinkedIn Ads | B2B; professional targeting | Lead gen, thought leadership | | TikTok Ads | Younger audience; short-form | Awareness; viral-style creative |
Principle: Match channel to audience and funnel stage. Search = high intent; social = awareness/consideration.
| Metric | Purpose | |--------|---------| | ROAS | Return on ad spend; primary paid channel metric | | CAC | Cost per acquisition; compare to LTV | | Quality Score (Google) | Ad relevance, LP experience; higher = lower CPC, better rank | | CPC/CPM | Cost per click/impression; platform-specific |
Budget allocation: Start with one channel; prove ROAS before scaling. Test 2–3 ad creatives; double down on winners.
When landing pages receive paid traffic (Google Ads, Meta, etc.):
| Principle | Practice | |-----------|----------| | Ad promise on page | Ad copy (e.g. "15% off") must appear immediately on the page; mismatch increases bounce | | Post-click experience | Ads drive traffic; landing pages drive conversions; optimize the full funnel | | Quality Score | Well-optimized LPs improve Google Ads Quality Score → lower CPC, better ad rank | | Mobile-first | Majority of traffic on mobile; CTA above fold, thumb-reachable, fast load |
See landing-page-generator for LP structure, 5-step flow, and conversion optimization.
When running affiliate programs: affiliates may bid on your brand terms in Google Ads; you pay commission for traffic you already own. Prohibit in affiliate terms; monitor paid search; use brand monitoring tools. See affiliate-page-generator.
tools
When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Runway,' 'Kling,' 'Pika,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social-content. For paid video ad creative, see ad-creative.
tools
When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tool-strategy. For writing the actual content, see copywriting. For the email sequence after capture, see email-sequence.
development
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'Ideogram,' 'Gemini image,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.
testing
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer