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

---

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 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.