| name | meta-ads-campaign-builder |
| description | End-to-end Meta Ads campaign builder for Facebook and Instagram. Takes ICP + objective, generates audience targeting recommendations, ad set structure, copy framework per placement, and exports as a campaign brief or structured CSV. Focused on campaign architecture, not creative generation.
|
| tags | ["ads"] |
Meta Ads Campaign Builder
Build a complete Meta Ads campaign structure — targeting, ad sets, placements, copy framework, and budget allocation. This skill handles the strategic architecture that determines whether a campaign succeeds before a single ad runs.
Core principle: The biggest Meta Ads mistake startups make is boosting a post and calling it a campaign. Proper campaign structure — objective selection, audience layering, placement optimization, and testing framework — is what separates burning money from building pipeline.
When to Use
- "Set up Meta Ads for our product"
- "Build a Facebook/Instagram ad campaign"
- "Help me structure a Meta campaign"
- "I want to run ads on Facebook — where do I start?"
- "Create a Meta Ads plan for [product launch / lead gen / awareness]"
Phase 0: Intake
- Product name + URL — What are we advertising?
- Campaign objective:
- Awareness (brand reach)
- Traffic (website visits)
- Lead Generation (in-platform lead forms)
- Conversions (website sign-ups / purchases)
- App Installs
- ICP — Target buyer: role, company size, industry, pain points
- Monthly budget — How much for Meta specifically?
- Landing page(s) — Where will traffic go?
- Competitor names — For audience analysis
- Existing Meta Pixel / Conversions API? — Tracking setup status
- B2B or B2C? — Changes targeting strategy significantly
Phase 1: Campaign Architecture
1A: Objective Selection
| Business Goal | Meta Objective | Why |
|---|
| "Get demos/leads" | Lead Generation OR Conversions | Lead Gen = in-app forms (higher volume, lower quality). Conversions = website (lower volume, higher quality) |
| "Drive free trial sign-ups" | Conversions | Optimize for on-site conversion event |
| "Build awareness for launch" | Awareness (Reach) | Maximize eyeballs in target audience |
| "Retarget website visitors" | Conversions | Bring warm traffic back to convert |
| "Drive traffic to content" | Traffic | Optimize for clicks to blog/resource |
1B: Campaign Structure
Campaign: [Product Name] — [Objective]
├── Ad Set 1: [Audience — Prospecting: Interest-Based]
│ ├── Ad 1: [Primary creative variant]
│ ├── Ad 2: [Secondary creative variant]
│ └── Ad 3: [Tertiary creative variant]
├── Ad Set 2: [Audience — Prospecting: Lookalike]
│ ├── Ad 1-3: [Same creative variants]
├── Ad Set 3: [Audience — Retargeting: Website Visitors]
│ ├── Ad 1-3: [Retargeting-specific creative]
└── Ad Set 4: [Audience — Retargeting: Engagement]
└── Ad 1-3: [Engagement retargeting creative]
1C: Competitor Ad Research (Optional)
If competitors were provided, check what they're running on Meta:
web_search: site:facebook.com/ads/library "[competitor name]"
web_search: "[competitor name]" Meta Ads examples
The Meta Ad Library (facebook.com/ads/library) is publicly accessible — search for competitor pages to see their active ads, formats, and messaging angles. Use findings to inform copy angles and audience strategy.
Phase 2: Audience Strategy
2A: Prospecting Audiences
Interest-Based Targeting:
Research relevant interests, behaviors, and demographics:
web_search: [product category] Meta Ads targeting options
web_search: [ICP role] Facebook ad audience interests
Build audience layers:
| Layer | Targeting | Rationale |
|---|
| Job title / Industry | [Specific titles, industries] | Direct ICP match |
| Interests | [Tools they use, publications they read, topics they follow] | Behavioral proxy |
| Behaviors | [Business decision makers, technology early adopters, etc.] | Meta behavioral data |
| Demographics | [Age range, education, income (if B2C)] | Narrowing |
Audience size target: 500K-2M for prospecting (smaller = expensive, larger = diluted)
Lookalike Audiences:
| Source | Lookalike % | Rationale |
|---|
| Customer list (emails) | 1% | Closest match to actual buyers |
| Website converters (Pixel) | 1% | People who took action |
| Website visitors (Pixel) | 1-3% | Broader interest signal |
| Page engagers | 3-5% | Widest cold audience |
2B: Retargeting Audiences
| Audience | Window | Purpose |
|---|
| All website visitors | 30 days | Broad retarget |
| Visited pricing/demo page | 14 days | High intent — push to convert |
| Engaged with ads (no click) | 30 days | Awareness → consideration |
| Video viewers (50%+) | 30 days | Warmed but not clicked |
| Lead form openers (not submitted) | 14 days | Abandoned lead capture |
2C: B2B-Specific Adjustments
B2B targeting on Meta is harder. Recommended approach:
- Upload customer email lists → Build lookalikes (best B2B signal)
- Layer interests with behaviors — "Business decision makers" + "[specific software interest]"
- Use LinkedIn for precision targeting — Meta for retargeting/awareness
- Exclude broad audiences — No one under 25, exclude students, exclude job seekers (unless relevant)
Phase 3: Ad Copy Framework
Per Placement, Generate Copy Structure
| Placement | Headline Limit | Primary Text Limit | Notes |
|---|
| Feed (FB + IG) | 40 chars | 125 chars visible (500 max) | Most versatile |
| Stories (FB + IG) | 40 chars | Minimal text — visual-first | CTA button matters most |
| Reels | Overlay text only | Hook in first 3 seconds | Video required |
| Right column (FB) | 40 chars | Short | Desktop only — cheap impressions |
| Audience Network | 40 chars | 90 chars | Lower quality traffic |
Copy Framework Per Ad
| Element | Framework | Example |
|---|
| Primary text | [Hook → Pain/Outcome → Proof → CTA] | "Still prospecting manually? [Product] finds qualified leads while you sleep. 500+ teams use it. Try free →" |
| Headline | [Direct benefit or action] | "Automate Your Outbound in 5 Min" |
| Description | [Support or specificity] | "No credit card required. Cancel anytime." |
| CTA button | [Match to objective] | Learn More / Sign Up / Get Started / Book Demo |
Generate 3-5 Ad Copy Variants Per Ad Set
| Variant | Angle | Primary Text Hook | Headline |
|---|
| 1 | Pain | "[Pain point question]" | "[Solution benefit]" |
| 2 | Outcome | "[Result promise]" | "[Specific metric]" |
| 3 | Social proof | "[Customer result + name]" | "[Join X teams]" |
| 4 | Contrarian | "[Myth busting]" | "[Unexpected claim]" |
| 5 | Product-led | "[Feature highlight]" | "[Feature → benefit]" |
Phase 4: Budget & Bidding
Budget Allocation
| Budget Tier | Prospecting | Retargeting | Testing |
|---|
| < $1K/mo | 60% | 30% | 10% |
| $1K-5K/mo | 50% | 30% | 20% |
| $5K+/mo | 45% | 25% | 30% |
Bidding Strategy
| Objective | Recommended Bid Strategy | When to Switch |
|---|
| Conversions | Lowest Cost (start) → Cost Cap (after 50 conversions) | Once you have conversion data |
| Lead Gen | Lowest Cost | Usually sufficient for lead forms |
| Traffic | Lowest Cost per Click | Keep it simple |
| Awareness | Lowest Cost per 1K Impressions | Maximize reach |
Learning Phase
Critical: Each ad set needs ~50 conversions/week to exit learning phase. If your budget can't support that:
- Consolidate ad sets (fewer, larger audiences)
- Use an earlier funnel event as the optimization target (e.g., "Add to Cart" instead of "Purchase")
- Start with Traffic or Landing Page Views objective, switch to Conversions later
Phase 5: Output Format
# Meta Ads Campaign Plan — [Product Name] — [DATE]
## Campaign Overview
- **Objective:** [Selected objective]
- **Monthly budget:** $[X]
- **Target audience:** [ICP summary]
- **Geographic targeting:** [Countries/regions]
- **Placements:** [Automatic / Manual selection]
- **Conversion event:** [What we're optimizing for]
---
## Campaign Structure
[Visual tree]
---
## Audience Targeting
### Ad Set 1: [Name — e.g., "Interest-Based Prospecting"]
- **Audience size:** ~[N]
- **Interests:** [List]
- **Behaviors:** [List]
- **Demographics:** [Age, etc.]
- **Exclusions:** [Existing customers, recent converters]
- **Budget:** $[X]/day
### Ad Set 2: [Lookalike]
...
### Ad Set 3: [Retargeting — Website]
...
---
## Ad Copy
### Ad Set 1 — Ad Variant 1: [Angle Name]
- **Primary text:** "[Copy]"
- **Headline:** "[Copy]"
- **Description:** "[Copy]"
- **CTA:** [Button]
- **Landing page:** [URL]
### Ad Variant 2: ...
---
## Budget & Bidding
[Allocation table + strategy]
---
## Tracking Setup Checklist
[ ] Meta Pixel installed on all landing pages
[ ] Conversion events configured (lead, purchase, etc.)
[ ] Conversions API connected (if server-side tracking)
[ ] UTM parameters set for GA4 tracking
[ ] Custom audiences created (website visitors, customer list)
[ ] Lookalike audiences built
---
[ ] Campaign structure created in Ads Manager
[ ] All ad copy uploaded with correct placements
[ ] Audiences configured with proper exclusions
[ ] Daily budget caps set
[ ] A/B test structure confirmed (one variable per test)
[ ] Conversion tracking verified (test conversion fired)
[ ] Campaign set to start on [date]
---
Day 1-3: Check delivery — are ads spending? Any disapprovals?
Day 4-7: Review CTR and CPC — are we in range?
Day 7-14: First conversion data — any ad set clearly winning/losing?
Day 14: First optimization pass — pause losers, scale winners
Save to meta-campaign-plan-[YYYY-MM-DD].md in the current working directory (or user-specified path).
Cost
| Component | Cost |
|---|
| Audience research (web search) | Free |
| Competitor ad research (web search) | Free |
| Copy generation + structure | Free (LLM reasoning) |
| Total | Free |
Tools Required
- web_search — for audience research, targeting ideas, and competitor ad research via Meta Ad Library
Trigger Phrases
- "Build a Meta Ads campaign for [product]"
- "Set up Facebook Ads for us"
- "Create an Instagram ad campaign"
- "Help me structure Meta Ads for lead gen"
- "Plan a Facebook campaign for our launch"
