/ads-strategy

name: ads-strategy
description: Full Ad Strategy Orchestrator. Launches 5 parallel subagents to build a complete advertising strategy from a single URL — audience personas, creative concepts, funnel architecture, competitive intelligence, and budget allocation. Produces a composite Ad Readiness Score (0-100) with a unified, client-ready strategy report.

Full Ad Strategy Orchestrator

Skill Purpose

Perform a comprehensive, end-to-end advertising strategy build for any business from a single URL. This is the flagship command of the AI Ads Strategist — it launches 5 parallel subagents simultaneously to analyze every dimension of ad readiness, then synthesizes all findings into a unified strategy document with a composite Ad Readiness Score (0-100).

The output is a client-ready deliverable that covers audience research, creative strategy, funnel architecture, competitive positioning, and budget allocation — the kind of document an agency would charge $3,000-$10,000 to produce.

When to Use

• User runs `/ads strategy <url>`
• User asks for a "full ad strategy", "complete advertising plan", or "ad audit"
• User wants everything in one command without running individual ad skills separately
• User needs a single deliverable covering all advertising dimensions
• User is preparing to launch paid ads and wants a complete roadmap

Input Requirements

• **Required:** A business URL to analyze
• **Optional:** Monthly budget, target geography, industry context, specific platforms of interest

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How to Execute

This skill runs 3 phases. Phase 1 gathers intelligence. Phase 2 launches 5 parallel subagents. Phase 3 synthesizes all results into the final report.

Display progress to the user:

================================================================
  ADS STRATEGY BUILD: [Company Name]
================================================================

  Phase 1: Discovery & Business Intelligence ......... [running]
  Phase 2: Parallel Agent Analysis ................... [pending]
    - Audience Research Agent (25%) .................. [pending]
    - Creative Strategy Agent (20%) .................. [pending]
    - Funnel Architecture Agent (20%) ................ [pending]
    - Competitive Intelligence Agent (15%) ........... [pending]
    - Budget & ROI Agent (20%) ...................... [pending]
  Phase 3: Synthesis & Report Generation ............. [pending]

================================================================

Update each status as work progresses:

• `[running]` -- Currently executing
• `[complete]` -- Finished successfully
• `[limited]` -- Completed with limited data
• `[pending]` -- Not yet started

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Phase 1: Discovery & Business Intelligence

**Objective:** Fetch the target URL, extract all available business intelligence, detect business type, and prepare the context package that all 5 subagents will receive.

Step 1: Fetch and Analyze the Homepage

Use `WebFetch` to retrieve the homepage at the provided URL. Extract:

| Data Point | Where to Find | |---|---| | Company name | Page title, logo, footer, about page | | Tagline / Value proposition | Hero section, H1, meta description | | Products or services | Navigation menu, service pages, pricing page | | Pricing model | Pricing page, CTAs ("free trial", "get quote", "add to cart") | | Target market signals | Copy language, imagery, testimonials, case studies | | Trust signals | Client logos, certifications, review counts, media mentions | | Current CTAs | Buttons, forms, phone numbers, chat widgets | | Contact info | Phone, email, address, social links | | Tech stack signals | Meta tags, scripts, platform indicators | | Content assets | Blog, resources, videos, podcasts, lead magnets |

Step 2: Detect Business Type

Classify the business into one of these categories based on homepage signals:

| Business Type | Detection Signals | Ad Strategy Implications | |---|---|---| | **SaaS / Software** | Pricing page, "Sign up" / "Free trial" / "Book demo" CTAs, feature lists, integration pages, app subdomain | Focus on demo/trial conversions, long sales cycles, retargeting heavy | | **E-commerce** | Product listings, shopping cart, "Add to cart" buttons, product categories, price displays | Focus on ROAS, product catalog ads, shopping campaigns, impulse triggers | | **Local Business** | Physical address, Google Maps embed, service area mentions, phone number prominent, "Near me" language | Focus on call extensions, local targeting, Google LSAs, radius targeting | | **Agency / Services** | Case studies, portfolio, "Our Work", client logos, consultation CTAs, team page | Focus on lead gen, authority building, LinkedIn, long nurture sequences | | **Creator / Course** | Course listings, "Enroll now", instructor bio, curriculum, testimonials from students, community mentions | Focus on webinar funnels, transformation messaging, urgency/scarcity | | **Restaurant / Hospitality** | Menu, reservations, location hours, food imagery, delivery links | Focus on Instagram/TikTok visuals, local targeting, seasonal promotions |

Step 3: Identify Industry and Competitive Context

Use `WebSearch` to gather additional intelligence:

"[Company Name]" competitors
"[Company Name]" reviews
"[Company Name]" pricing
[industry] + [location] market size
[industry] advertising benchmarks [current year]

Step 4: Detect Recommended Platforms

Based on business type, determine the optimal platform mix:

| Business Type | Primary Platforms | Secondary Platforms | Avoid | |---|---|---|---| | SaaS / Software | Google Ads (Search), LinkedIn | Facebook/Instagram (retargeting), YouTube (demos) | TikTok (unless B2C SaaS) | | E-commerce | Meta (FB/IG), Google Shopping | TikTok, Pinterest, YouTube | LinkedIn | | Local Business | Google Ads (Search + LSA), Facebook/IG | Nextdoor, Yelp Ads | LinkedIn, Pinterest | | Agency / Services | LinkedIn, Google Ads (Search) | Facebook (retargeting), YouTube | TikTok, Pinte