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

1. Product name + URL — What are we advertising?
2. Campaign objective:
   • Awareness (brand reach)
   • Traffic (website visits)
   • Lead Generation (in-platform lead forms)
   • Conversions (website sign-ups / purchases)
   • App Installs
3. ICP — Target buyer: role, company size, industry, pain points
4. Monthly budget — How much for Meta specifically?
5. Landing page(s) — Where will traffic go?
6. Competitor names — For audience analysis
7. Existing Meta Pixel / Conversions API? — Tracking setup status
8. 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]

Phase 2: Audience Strategy

2A: Prospecting Audiences

Interest-Based Targeting:

Research relevant interests, behaviors, and demographics:

Search: [product category] Meta Ads targeting options
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:

1. Upload customer email lists → Build lookalikes (best B2B signal)
2. Layer interests with behaviors — "Business decision makers" + "[specific software interest]"
3. Use LinkedIn for precision targeting — Meta for retargeting/awareness
4. 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

---

## Launch Checklist
- [ ] 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]

---

## Week 1-2 Monitoring Plan
- 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 clients/<client-name>/ads/meta-campaign-plan-[YYYY-MM-DD].md.

Cost

Component	Cost
Audience research (web search)	Free
Competitor ad research (optional)	~$0.20-0.50 (Apify)
Copy generation + structure	Free (LLM reasoning)
Total	Free-$0.50

Tools Required

• web_search — for audience research and targeting ideas
• Optional: meta-ad-scraper for competitor reference
• Optional: ad-angle-miner for copy angles

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"