ads-strategy
Installation
SKILL.md
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
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 | |
| 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 |
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 ads:
- Reference Meta Ad Library: "facebook.com/ads/library" searches for competitor names
- Reference Google Ads Transparency Center mentions
- Look for competitor ad copy patterns in search results (sponsored listings)
4. Build a competitive gap analysis:
- What are competitors saying that this business should also say?
- What are competitors NOT saying that this business could own?
- What platforms are competitors absent from (opportunity for first-mover advantage)?
- What audience segments are competitors ignoring?
5. Create a "Beat the Competition" strategy:
- 3 specific positioning angles that differentiate from competitors
- Ad copy hooks that directly counter competitor messaging
- Platform opportunities where competitors are weak or absent
- Pricing/offer strategies that create competitive advantage
6. Provide a Competitive Position Score (0-100) based on:
- Market differentiation (how unique is the business positioning) (0-25)
- Competitor ad sophistication (how hard is the competition) (0-25)
- Gap opportunities identified (exploitable weaknesses) (0-25)
- First-mover potential on underserved platforms/audiences (0-25)
OUTPUT FORMAT:
Return your findings as structured markdown with clear headers. End with:
- COMPETITIVE_POSITION_SCORE: [0-100]
- TOP_COMPETITOR: [Name of strongest competitor]
- BIGGEST_GAP: [Single most exploitable competitive gap]
- KEY_INSIGHT: [One-sentence competitive advantage summary]
Agent 5: Budget & ROI Agent
Weight in composite score: 20%
Corresponding skill: ads-budget
Launch this agent with the following prompt:
You are the Budget & ROI Agent for an ad strategy build. Using the context below, build a complete budget allocation and ROI projection.
CONTEXT:
[Insert full context package from Phase 1]
YOUR TASK:
1. Determine estimated pricing benchmarks for this industry and business type:
- Average CPM (cost per 1,000 impressions) by platform
- Average CPC (cost per click) by platform
- Average CPA (cost per acquisition/conversion) by platform
- Average ROAS (return on ad spend) benchmarks
- Average conversion rates by platform and funnel stage
Use web search if needed: "[industry] advertising benchmarks [current year]"
2. Build 3 budget scenarios:
**Starter Budget ($1,000-$2,000/month):**
- Platform allocation (percentages and dollar amounts)
- Campaign types to run at this budget
- Expected impressions, clicks, and conversions
- What to prioritize and what to skip
- Timeline to meaningful data (statistical significance)
**Growth Budget ($3,000-$5,000/month):**
- Platform allocation with multi-platform strategy
- Full funnel activation (TOFU through retargeting)
- Expected metrics and projected ROAS
- A/B testing budget allocation
- Scaling triggers (when to increase spend)
**Scale Budget ($7,000-$10,000+/month):**
- Advanced platform mix with full optimization
- Multi-channel attribution considerations
- Creative testing velocity requirements
- Team/agency resource requirements
- Expected ROAS at scale and diminishing returns thresholds
3. Calculate break-even analysis:
- Average order value (AOV) or customer lifetime value (CLV) — estimate from pricing page
- Break-even CPA calculation
- Break-even ROAS calculation
- Months to profitability at each budget tier
4. Build a 90-day scaling roadmap:
- Month 1: Testing phase — budget, platforms, campaigns, KPIs
- Month 2: Optimization phase — what to cut, what to scale, new tests
- Month 3: Scaling phase — budget increases, new platforms, automation
5. Provide a Budget Efficiency Score (0-100) based on:
- Pricing clarity (can we estimate AOV/CLV from the website) (0-25)
- Platform-market fit (are the recommended platforms right for this business) (0-25)
- Scalability potential (room to grow ad spend profitably) (0-25)
- ROI achievability (realistic conversion path and economics) (0-25)
OUTPUT FORMAT:
Return your findings as structured markdown with clear headers. End with:
- BUDGET_EFFICIENCY_SCORE: [0-100]
- RECOMMENDED_STARTING_BUDGET: [$X/month]
- PROJECTED_ROAS: [X.Xx at growth budget]
- BREAK_EVEN_CPA: [$X]
- KEY_INSIGHT: [One-sentence budget/ROI finding]
Phase 3: Synthesis & Report Generation
Objective: Collect all 5 agent results, calculate the composite Ad Readiness Score, assign a grade, and generate the unified strategy report.
Step 1: Extract Scores from Agent Results
Parse the closing metrics from each agent's output:
| Agent | Score Variable | Weight |
|---|---|---|
| Audience Research | AUDIENCE_CLARITY_SCORE | 25% |
| Creative Strategy | CREATIVE_QUALITY_SCORE | 20% |
| Funnel Architecture | FUNNEL_ARCHITECTURE_SCORE | 20% |
| Competitive Intelligence | COMPETITIVE_POSITION_SCORE | 15% |
| Budget & ROI | BUDGET_EFFICIENCY_SCORE | 20% |
Step 2: Calculate Composite Ad Readiness Score
Ad_Readiness_Score = (Audience * 0.25) + (Creative * 0.20) + (Funnel * 0.20) + (Competitive * 0.15) + (Budget * 0.20)
Step 3: Assign Grade
| Score Range | Grade | Interpretation |
|---|---|---|
| 95-100 | A+ | Exceptional ad readiness -- this business is primed to scale paid ads immediately |
| 90-94 | A | Excellent foundation -- minor refinements needed before aggressive scaling |
| 85-89 | A- | Strong position -- address 1-2 gaps before full budget deployment |
| 80-84 | B+ | Good readiness -- some strategic gaps to close before scaling |
| 75-79 | B | Solid base -- needs focused work on weaker categories before launch |
| 70-74 | B- | Above average -- several areas need improvement for consistent ROI |
| 65-69 | C+ | Moderate readiness -- significant work needed in 2-3 categories |
| 60-64 | C | Fair -- fundamental gaps exist that will limit ad performance |
| 55-59 | C- | Below average -- most categories need substantial improvement |
| 50-54 | D+ | Weak -- major strategic overhaul needed before spending on ads |
| 45-49 | D | Poor -- advertising spend will likely be wasted without foundational fixes |
| 40-44 | D- | Very poor -- critical issues across most categories |
| 0-39 | F | Not ad-ready -- business fundamentals must be addressed before paid advertising |
Grade Interpretation and Recommendation
| Grade | Recommendation |
|---|---|
| A+ to A- | Start running ads immediately. Focus on testing and scaling. Use the Growth or Scale budget scenario. |
| B+ to B- | Address the 1-2 lowest-scoring categories first. Start with the Starter budget to test while improving. |
| C+ to C- | Significant prep work needed. Fix fundamentals (landing pages, offer clarity, tracking) before spending. Start with Starter budget on one platform only. |
| D+ to F | Do NOT run ads yet. Invest in website improvements, offer development, and brand positioning first. Revisit ads in 30-60 days after foundational work. |
Output Report
Generate a file called ADS-STRATEGY-[CompanyName].md where [CompanyName] is the cleaned company name (spaces replaced with hyphens, lowercase):
# Ad Strategy Report
## [Company Name]
### Strategy Date: [Date]
### URL: [URL]
---
## Executive Summary
**Ad Readiness Score: [X]/100 ([Grade])**
[3-5 sentence executive summary covering: current ad readiness state, business type classification, biggest strength, biggest vulnerability, and the single most important action to take before launching ads. This paragraph should give a busy executive everything they need in 30 seconds.]
**Business Type:** [Detected Type]
**Industry:** [Industry]
**Recommended Platforms:** [Platform list]
**Recommended Starting Budget:** [$X/month]
**Projected ROAS:** [X.Xx]
---
## Score Dashboard
| Category | Score | Weight | Weighted | Status |
|---|---|---|---|---|
| Audience Clarity | [X]/100 | 25% | [X] | [Excellent/Strong/Adequate/Weak/Critical] |
| Creative Quality | [X]/100 | 20% | [X] | [Excellent/Strong/Adequate/Weak/Critical] |
| Funnel Architecture | [X]/100 | 20% | [X] | [Excellent/Strong/Adequate/Weak/Critical] |
| Competitive Position | [X]/100 | 15% | [X] | [Excellent/Strong/Adequate/Weak/Critical] |
| Budget Efficiency | [X]/100 | 20% | [X] | [Excellent/Strong/Adequate/Weak/Critical] |
| **Ad Readiness Score** | | **100%** | **[X]/100** | **[Grade]** |
### Status Key
- **Excellent (90-100):** Best-in-class, no immediate action needed
- **Strong (75-89):** Above average, minor optimizations available
- **Adequate (60-74):** Functional but clear room for improvement
- **Weak (40-59):** Below average, needs focused attention
- **Critical (0-39):** Major issues that will undermine ad performance
---
## Company Profile
| Field | Detail |
|---|---|
| Company | [Name] |
| URL | [URL] |
| Business Type | [Type] |
| Industry | [Industry] |
| Products/Services | [List] |
| Pricing Model | [Model] |
| Value Proposition | [Tagline] |
| Target Geography | [Location] |
| Primary Conversion Action | [Purchase/Demo/Call/Form/Sign-up] |
---
## Audience Personas
[Full output from the Audience Research Agent]
### Persona Overview
| # | Persona | Age | Income | Platform | Relevance | Funnel Stage |
|---|---|---|---|---|---|---|
| 1 | [Name] | [Range] | [Range] | [Primary] | [1-5] | [TOFU/MOFU/BOFU] |
| 2 | [Name] | [Range] | [Range] | [Primary] | [1-5] | [TOFU/MOFU/BOFU] |
| 3 | [Name] | [Range] | [Range] | [Primary] | [1-5] | [TOFU/MOFU/BOFU] |
| 4 | [Name] | [Range] | [Range] | [Primary] | [1-5] | [TOFU/MOFU/BOFU] |
| 5 | [Name] | [Range] | [Range] | [Primary] | [1-5] | [TOFU/MOFU/BOFU] |
### Detailed Personas
[Each persona with full demographics, psychographics, pain points, buying triggers, objections, targeting parameters per platform]
### Negative Audiences (Who NOT to Target)
[Exclusion list with rationale]
### Audience Key Insight
> [One-sentence biggest finding from the Audience agent]
---
## Campaign Architecture
[Full output from the Funnel Architecture Agent]
### Funnel Overview
TOFU (Awareness) ──> MOFU (Consideration) ──> BOFU (Conversion) ──> Retargeting (Recovery) [X]% [X]% [X]% [X]%
### TOFU -- Awareness Stage
[Objectives, audiences, ad formats, platforms, KPIs, budget %]
### MOFU -- Consideration Stage
[Objectives, audiences, ad formats, platforms, KPIs, budget %]
### BOFU -- Conversion Stage
[Objectives, audiences, ad formats, platforms, KPIs, budget %]
### Retargeting -- Recovery & Loyalty
[Windows, segmentation, creative rotation, frequency caps, cross-sell sequences]
### Conversion Path Map
[Ad Click] -> [Landing Page] -> [Micro-Conversion] -> [Primary Conversion]
### Pixel & Tracking Strategy
[Events to track, custom audiences, lookalike recommendations]
### Funnel Key Insight
> [One-sentence biggest finding from the Funnel agent]
---
## Creative Strategy
[Full output from the Creative Strategy Agent]
### Core Messaging Angles
| # | Angle | Description | Best For |
|---|---|---|---|
| 1 | Pain-Point | [Description] | [Platform/Stage] |
| 2 | Aspiration | [Description] | [Platform/Stage] |
| 3 | Social Proof | [Description] | [Platform/Stage] |
### Top 10 Scroll-Stopping Hooks
| # | Hook | Type | Platform | Psychology |
|---|---|---|---|---|
| 1 | [Hook text] | [Pain/Curiosity/Proof/Urgency] | [Platform] | [Why it works] |
| 2 | [Hook text] | [Type] | [Platform] | [Why it works] |
| ... | ... | ... | ... | ... |
### Platform-Specific Ad Copy
#### Meta (Facebook / Instagram)
[3 ad copy variations with primary text, headline, description, CTA]
#### Google Ads (Search)
[3 responsive search ad sets with headlines and descriptions]
#### LinkedIn
[2 ad copy variations]
### Creative Concepts
#### Concept 1: Static Image Ad
[Visual description, text overlay, color direction, platform specs]
#### Concept 2: Short Video Ad (15s)
[Shot-by-shot script, voiceover, on-screen text, music direction]
#### Concept 3: UGC-Style Ad
[Creator script template, talking points, B-roll suggestions]
### Creative Key Insight
> [One-sentence biggest finding from the Creative agent]
---
## Competitive Landscape
[Full output from the Competitive Intelligence Agent]
### Competitor Overview
| Competitor | Positioning | Ad Presence | Strongest Platform | Key Weakness |
|---|---|---|---|---|
| [Name] | [Value prop] | [Active/Moderate/None] | [Platform] | [Gap] |
| [Name] | [Value prop] | [Active/Moderate/None] | [Platform] | [Gap] |
| [Name] | [Value prop] | [Active/Moderate/None] | [Platform] | [Gap] |
### Competitive Gap Analysis
| Gap | Opportunity | How to Exploit |
|---|---|---|
| [Gap] | [What it means] | [Specific ad strategy] |
| [Gap] | [What it means] | [Specific ad strategy] |
| [Gap] | [What it means] | [Specific ad strategy] |
### "Beat the Competition" Strategy
[3 positioning angles, counter-messaging hooks, platform opportunities, offer strategies]
### Competitive Key Insight
> [One-sentence biggest finding from the Competitive agent]
---
## Budget Allocation & ROI Projections
[Full output from the Budget & ROI Agent]
### Industry Benchmarks
| Metric | [Platform 1] | [Platform 2] | [Platform 3] | Industry Avg |
|---|---|---|---|---|
| CPM | $[X] | $[X] | $[X] | $[X] |
| CPC | $[X] | $[X] | $[X] | $[X] |
| CPA | $[X] | $[X] | $[X] | $[X] |
| Conv. Rate | [X]% | [X]% | [X]% | [X]% |
| Avg. ROAS | [X.Xx] | [X.Xx] | [X.Xx] | [X.Xx] |
### Budget Scenarios
#### Starter ($1,000-$2,000/mo)
| Platform | Allocation | Monthly Spend | Est. Clicks | Est. Conversions |
|---|---|---|---|---|
| [Platform] | [X]% | $[X] | [X] | [X] |
| **Total** | **100%** | **$[X]** | **[X]** | **[X]** |
#### Growth ($3,000-$5,000/mo)
[Same table format with expanded platform mix]
#### Scale ($7,000-$10,000+/mo)
[Same table format with full platform activation]
### Break-Even Analysis
| Metric | Value |
|---|---|
| Estimated AOV / Deal Size | $[X] |
| Break-Even CPA | $[X] |
| Break-Even ROAS | [X.Xx] |
| Months to Profitability (Starter) | [X] |
| Months to Profitability (Growth) | [X] |
### Budget Key Insight
> [One-sentence biggest finding from the Budget agent]
---
## 90-Day Implementation Plan
### Month 1: Foundation & Testing (Days 1-30)
**Week 1: Setup**
- [ ] Install tracking pixels on all platforms (Meta, Google, LinkedIn)
- [ ] Set up conversion events and custom audiences
- [ ] Create landing pages for each funnel stage
- [ ] Build initial ad creative (3-5 variations per platform)
**Week 2: Launch**
- [ ] Launch TOFU campaigns on primary platform
- [ ] Launch BOFU retargeting campaigns
- [ ] Begin A/B testing ad copy and creative
- [ ] Set up daily performance monitoring
**Week 3: Optimize**
- [ ] Review first week data -- pause underperforming ads
- [ ] Adjust audience targeting based on early signals
- [ ] Launch second platform if budget allows
- [ ] Test new hooks and creative angles
**Week 4: Analyze**
- [ ] Full performance review of Month 1
- [ ] Calculate actual CPC, CPA, ROAS vs projections
- [ ] Identify winning ads, audiences, and platforms
- [ ] Plan Month 2 optimizations
### Month 2: Optimization & Expansion (Days 31-60)
- [ ] Scale winning campaigns by 20-30% budget increase
- [ ] Kill losing campaigns and reallocate budget
- [ ] Launch MOFU campaigns for warm audience nurturing
- [ ] Expand to secondary platform
- [ ] Create new creative based on Month 1 learnings
- [ ] Build lookalike audiences from converters
- [ ] Implement advanced retargeting sequences
- [ ] Test landing page variations
### Month 3: Scaling & Automation (Days 61-90)
- [ ] Increase budget to Growth tier if ROAS targets are met
- [ ] Activate full funnel across 2-3 platforms
- [ ] Implement automated rules for bid/budget management
- [ ] Launch dynamic creative optimization (DCO) campaigns
- [ ] Build customer LTV analysis from early cohorts
- [ ] Create cross-sell/upsell retargeting campaigns
- [ ] Document winning formulas for repeatable scaling
- [ ] Set 90-day review meeting to plan next quarter
---
## Quick Wins (Start This Week)
These 5 actions require minimal effort but will significantly improve ad readiness:
1. **[Specific action]** -- [Why it matters and expected impact]
2. **[Specific action]** -- [Why it matters and expected impact]
3. **[Specific action]** -- [Why it matters and expected impact]
4. **[Specific action]** -- [Why it matters and expected impact]
5. **[Specific action]** -- [Why it matters and expected impact]
---
## Next Steps
| What to Do Next | Skill | Command |
|---|---|---|
| Deep-dive audience research | Audience Persona Builder | `/ads audience [url]` |
| Generate full ad copy sets | Ad Copy Generator | `/ads copy [platform]` |
| Get 20+ scroll-stopping hooks | Hook Generator | `/ads hooks` |
| Build complete funnel blueprint | Funnel Architect | `/ads funnel [url]` |
| Full competitor ad analysis | Competitive Intelligence | `/ads competitors [url]` |
| Detailed budget projections | Budget Allocator | `/ads budget [amount]` |
| Video ad scripts | Video Script Generator | `/ads video [product]` |
| Landing page audit | Landing Page Auditor | `/ads landing [url]` |
| A/B testing plan | Testing Plan Builder | `/ads testing [campaign]` |
| Generate PDF report | PDF Report Generator | `/ads report-pdf` |
Terminal Output
After the report is saved, display a comprehensive summary in the terminal:
================================================================
AD STRATEGY COMPLETE: [Company Name]
================================================================
Ad Readiness Score: [XX]/100 ([Grade])
Agent Results:
1. Audience Research ........ COMPLETE [XX]/100
2. Creative Strategy ........ COMPLETE [XX]/100
3. Funnel Architecture ...... COMPLETE [XX]/100
4. Competitive Intelligence . COMPLETE [XX]/100
5. Budget & ROI ............. COMPLETE [XX]/100
Company Profile:
Business Type: [Type]
Industry: [Industry]
Platforms: [Platform list]
Starting Budget: $[X]/month
Projected ROAS: [X.Xx]
Key Metrics:
Total Personas: [N] built
Ad Copy Sets: [N] variations across [N] platforms
Hooks Written: 10 scroll-stopping hooks
Competitors: [N] analyzed
Budget Scenarios: 3 (Starter / Growth / Scale)
Break-Even CPA: $[X]
Top Finding: [Most critical finding across all agents]
Top Action: [Single most impactful recommended action]
Full report saved to: ADS-STRATEGY-[CompanyName].md
Next steps:
/ads copy [platform] -- Generate full ad copy sets
/ads hooks -- Get 20+ hooks for testing
/ads landing [url] -- Audit the landing page
/ads report-pdf -- Generate client-ready PDF
================================================================
Key Principles
- This is the flagship skill. The report should be thorough enough to justify a $5,000+ consulting engagement if presented as a client deliverable.
- Parallel execution is mandatory. All 5 agents MUST launch simultaneously to minimize total execution time. Never run them sequentially.
- Context consistency matters. All 5 agents receive the identical context package from Phase 1. This ensures consistency across all sections of the final report.
- WebSearch is the data source. Be transparent about what was found and what was estimated. Never fabricate metrics, but do provide industry benchmark ranges when exact data is unavailable.
- Copy-paste ready. All ad copy in the report should be ready to paste directly into the ad platform without editing. Character counts must comply with platform limits.
- Actionable over theoretical. Every section must end with specific actions, not vague advice. "Create a Meta campaign targeting HR managers at 500+ employee companies using lead gen objective" beats "Consider targeting your ideal audience on social media."
- The 90-day plan must be specific. Dates, platforms, budgets, and metrics should be concrete. The reader should know exactly what to do on Day 1, Day 7, Day 14, etc.
- Grade honestly. A business with a mediocre website, no tracking, and unclear pricing is NOT an A. The score must reflect reality so the action plan is credible.
- Always end with next steps. Guide the user to the specific individual skills that will help them execute on the strategy. The flagship report identifies what to do; the individual skills help them do it.
- If data is limited, say so. Mark sections as
[estimated from industry benchmarks]or[limited data -- verify before launch]rather than guessing. Honest limitations build trust.
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