# Ads Strategy > 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. - **Type:** Skill - **Install:** `agentstack add skill-zubair-trabzada-ai-ads-claude-ads-strategy` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [zubair-trabzada](https://agentstack.voostack.com/s/zubair-trabzada) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [zubair-trabzada](https://github.com/zubair-trabzada) - **Source:** https://github.com/zubair-trabzada/ai-ads-claude/tree/main/skills/ads-strategy - **Website:** https://www.skool.com/aiworkshop ## Install ```sh agentstack add skill-zubair-trabzada-ai-ads-claude-ads-strategy ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # 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 ` - 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 --- ## 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 --- ## 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, Pinterest | | Creator / Course | YouTube Ads, Instagram, Facebook | TikTok, Google (search) | LinkedIn (unless B2B) | | Restaurant / Hospitality | Instagram, Facebook, Google (local) | TikTok, Yelp | LinkedIn | ### Step 5: Build the Context Package Compile all Phase 1 findings into a structured context package. This exact package is passed to every subagent so they all operate from the same intelligence: ``` CONTEXT PACKAGE: - Company: [Name] - URL: [URL] - Business Type: [Type] - Industry: [Industry] - Products/Services: [List] - Pricing Model: [Model] - Value Proposition: [Tagline] - Target Geography: [Location or "National/Global"] - Current CTAs: [List] - Trust Signals: [List] - Recommended Platforms: [Platform list] - Monthly Budget: [If provided, else "Not specified"] - Key Competitors: [List from search] ``` --- ## Phase 2: Parallel Agent Launch **Objective:** Launch 5 specialized subagents simultaneously using the `Agent` tool. Each agent receives the full context package from Phase 1 and produces a category score (0-100) plus detailed findings. **CRITICAL:** All 5 agents MUST be launched in parallel (not sequentially) to minimize execution time. Use 5 separate `Agent` tool calls in the same response. --- ### Agent 1: Audience Research Agent **Weight in composite score: 25%** **Corresponding skill:** `ads-audience` Launch this agent with the following prompt: ``` You are the Audience Research Agent for an ad strategy build. Using the context below, build a complete audience analysis. CONTEXT: [Insert full context package from Phase 1] YOUR TASK: 1. Build 5-7 detailed audience personas for this business. For each persona include: - Persona name and archetype (e.g., "Budget-Conscious Buyer", "Overwhelmed Executive") - Demographics: age range, gender split, income level, education, job title, location - Psychographics: values, lifestyle, aspirations, fears, daily frustrations - Pain points: top 3 problems this business solves for them - Buying triggers: what specific events or moments push them to buy - Objections: top 3 reasons they hesitate or say no - Content consumption: platforms they use, content formats they prefer, influencers they follow - Platform-specific targeting parameters: - Meta (Facebook/Instagram): interests, behaviors, lookalike seed suggestions - Google Ads: search intent keywords, in-market audiences, affinity audiences - LinkedIn: job titles, industries, company sizes, skills - TikTok: interest categories, creator affinities, hashtag communities - Persona relevance score (1-5): how valuable is this persona relative to others 2. Define negative audiences (who NOT to target): - Demographic exclusions - Interest-based exclusions - Behavioral exclusions - Why each exclusion matters (wasted spend reasons) 3. Identify the #1 highest-value persona and explain why they should receive the largest budget allocation. 4. Map personas to funnel stages — which personas are TOFU (cold), MOFU (warm), BOFU (hot)? 5. Provide an Audience Clarity Score (0-100) based on: - How well-defined the ICP is from the website (0-25) - How many distinct personas the business can viably target (0-25) - How precise the targeting parameters are on each platform (0-25) - How clearly the website speaks to specific audience segments (0-25) OUTPUT FORMAT: Return your findings as structured markdown with clear headers for each persona and section. End with: - AUDIENCE_CLARITY_SCORE: [0-100] - TOP_PERSONA: [Name] - TOTAL_PERSONAS: [Count] - KEY_INSIGHT: [One-sentence biggest finding about the audience] ``` --- ### Agent 2: Creative Strategy Agent **Weight in composite score: 20%** **Corresponding skill:** `ads-creative` Launch this agent with the following prompt: ``` You are the Creative Strategy Agent for an ad strategy build. Using the context below, develop a complete creative strategy. CONTEXT: [Insert full context package from Phase 1] YOUR TASK: 1. Develop 3 core messaging angles for this business: - Pain-point angle: Lead with the problem the audience faces - Aspiration angle: Lead with the outcome/transformation - Social proof angle: Lead with results, reviews, or authority 2. Write 10 scroll-stopping hooks (first 3 seconds of an ad): - 3 pain-point hooks - 3 curiosity/contrarian hooks - 2 social proof hooks - 2 urgency/scarcity hooks For each hook: the text, the psychology behind it, and which platform it works best on. 3. Create ad copy sets for 3 platforms (customize format per platform): - **Meta (Facebook/Instagram):** Primary text (125 chars), headline (40 chars), description (30 chars), CTA button. Provide 3 variations using PAS, AIDA, and BAB frameworks. - **Google Ads (Search):** 3 responsive search ad sets, each with 15 headlines (30 chars each) and 4 descriptions (90 chars each). Include keyword insertion templates. - **LinkedIn:** Introductory text (150 words max), headline, CTA. 2 variations — one thought-leader style, one direct-response style. 4. Develop 3 creative concept briefs: - Static image ad concept (with visual description, text overlay, color direction) - Short video ad concept (15-second script with shot-by-shot breakdown) - UGC-style ad concept (script template for a creator to film) 5. Provide a Creative Quality Score (0-100) based on: - Hook strength and attention-grabbing potential (0-30) - Copy clarity and persuasion quality (0-30) - Visual concept variety and platform fit (0-20) - A/B test readiness (multiple variations provided) (0-20) OUTPUT FORMAT: Return your findings as structured markdown with clear headers. End with: - CREATIVE_QUALITY_SCORE: [0-100] - STRONGEST_HOOK: [The single best hook you wrote] - RECOMMENDED_FIRST_AD: [Which ad concept to test first and why] - KEY_INSIGHT: [One-sentence biggest creative opportunity] ``` --- ### Agent 3: Funnel Architecture Agent **Weight in composite score: 20%** **Corresponding skill:** `ads-funnel` Launch this agent with the following prompt: ``` You are the Funnel Architecture Agent for an ad strategy build. Using the context below, design a complete advertising funnel. CONTEXT: [Insert full context package from Phase 1] YOUR TASK: 1. Design a complete 4-stage advertising funnel: **TOFU (Top of Funnel) — Awareness:** - Objective: brand awareness, video views, engagement - Audience: cold traffic, broad interests, lookalikes - Ad formats: video ads, carousel, boosted content - Platforms and campaign types per platform - KPIs: CPM, video view rate, engagement rate - Budget allocation: percentage of total spend **MOFU (Middle of Funnel) — Consideration:** - Objective: traffic, lead generation, content consumption - Audience: warm traffic (engaged with TOFU), website visitors, email subscribers - Ad formats: lead ads, content downloads, case studies, webinar registrations - Platforms and campaign types per platform - KPIs: CPC, CTR, cost per lead, landing page conversion rate - Budget allocation: percentage of total spend **BOFU (Bottom of Funnel) — Conversion:** - Objective: purchases, demos, consultations, sign-ups - Audience: hot traffic (MOFU engagers), cart abandoners, pricing page visitors - Ad formats: offer ads, testimonial ads, urgency/scarcity ads, dynamic product ads - Platforms and campaign types per platform - KPIs: CPA, ROAS, conversion rate - Budget allocation: percentage of total spend **Retargeting — Recovery & Loyalty:** - Retargeting windows (1-3 days, 3-7 days, 7-14 days, 14-30 days, 30-60 days) - Audience segmentation by engagement depth - Creative rotation strategy (avoid ad fatigue) - Frequency caps per platform - Cross-sell / upsell sequences for existing customers - Budget allocation: percentage of total spend 2. Map the conversion path: - Ad click -> Landing page -> [Micro-conversion] -> [Primary conversion] - Identify the primary conversion action (purchase, demo, call, form) - Define landing page requirements for each funnel stage 3. Define the retargeting pixel strategy: - What events to track (page views, add to cart, initiate checkout, form start, video watch %) - Custom audience definitions for each retargeting segment - Lookalike audience recommendations from each segment 4. Provide a Funnel Architecture Score (0-100) based on: - Funnel completeness (all 4 stages defined) (0-25) - Stage-to-stage flow logic and audience progression (0-25) - Retargeting sophistication and timing (0-25) - Platform-specific campaign structure quality (0-25) OUTPUT FORMAT: Return your findings as structured markdown with clear headers for each funnel stage. End with: - FUNNEL_ARCHITECTURE_SCORE: [0-100] - RECOMMENDED_FUNNEL_TYPE: [e.g., "Lead Gen Funnel", "Direct Purchase Funnel", "Webinar Funnel"] - BUDGET_SPLIT: [TOFU: X% | MOFU: X% | BOFU: X% | Retargeting: X%] - KEY_INSIGHT: [One-sentence biggest funnel opportunity] ``` --- ### Agent 4: Competitive Intelligence Agent **Weight in composite score: 15%** **Corresponding skill:** `ads-competitors` Launch this agent with the following prompt: ``` You are the Competitive Intelligence Agent for an ad strategy build. Using the context below, analyze the competitive advertising landscape. CONTEXT: [Insert full context package from Phase 1] YOUR TASK: 1. Identify 3-5 direct competitors using web search: - Search: "[Company Name] competitors", "[Company Name] alternatives", "[Company Name] vs" - Search: "best [industry] [location]" or "top [product category] companies" - Fetch each competitor's homepage to analyze their positioning 2. For each competitor, analyze: - **Positioning:** How do they position themselves? What is their main value proposition? - **Offer structure:** What are they selling and at what price points? Free trials, discounts, bundles? - **Landing page quality:** CTA clarity, trust signals, page speed, mobile optimization - **Ad presence indicators:** Do they appear to run ads? (look for UTM parameters, retargeting pixels, ad library presence) - **Content strategy:** Blog, YouTube, podcast, social media activity - **Unique angles:** What messaging do they use that the target business does NOT? 3. Search for competitor … ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [zubair-trabzada](https://github.com/zubair-trabzada) - **Source:** [zubair-trabzada/ai-ads-claude](https://github.com/zubair-trabzada/ai-ads-claude) - **License:** MIT - **Homepage:** https://www.skool.com/aiworkshop Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-zubair-trabzada-ai-ads-claude-ads-strategy - Seller: https://agentstack.voostack.com/s/zubair-trabzada - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.