Stats
Actions
Tags
From automation-tools
Master Facebook Ads for maximum ROI with precise targeting and data-driven optimization. Use for campaign structure and objectives, audience targeting (core/custom/lookalike), persona development, ad creative and copywriting, ad formats (image/video/carousel), placement optimization, pixel implementation, conversion tracking, budget allocation, A/B testing, ROAS/CPA/CTR/CPM analysis, retargeting funnels, scaling strategies, competitor research, creative variant testing, and troubleshooting underperforming campaigns.
How this skill is triggered — by the user, by Claude, or both
Slash command
/automation-tools:facebook-ads-skillThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Master data-driven Facebook advertising for maximum ROI and precision targeting.
Master data-driven Facebook advertising for maximum ROI and precision targeting.
Business Manager
└─ Ad Account
└─ Campaign (Objective)
└─ Ad Set (Audience + Placement + Budget)
└─ Ad (Creative + Copy)
Best Practice:
Consistent naming prevents chaos at scale. Use this structure:
[Channel]_[Objective]_[Audience]_[Creative]_[Date/TestID]
Examples:
FB_CONV_LAL1-Purchasers_VideoTestimonial_2025Q1
FB_TRAFFIC_INT-RealEstate_CarouselA_T01
FB_LEAD_RET-WebVisitors7d_StaticProof_T03
IG_CONV_BROAD-25-55_UGCHook_2025-01
Component Keys:
| Code | Meaning |
|---|---|
| FB/IG | Facebook / Instagram |
| CONV/TRAFFIC/LEAD/AWARE | Objective |
| LAL/INT/RET/BROAD | Lookalike / Interest / Retargeting / Broad |
| T01/T02 | Test variant ID |
Prospecting Structure:
Campaign: FB_CONV_Prospecting_Q1
├─ Ad Set: LAL1-Purchasers (1% Lookalike)
├─ Ad Set: LAL2-Leads (2% Lookalike)
├─ Ad Set: INT-Competitors (Interest targeting)
└─ Ad Set: BROAD-25-55 (Broad with age only)
Retargeting Structure:
Campaign: FB_CONV_Retargeting_Q1
├─ Ad Set: RET-WebVisitors-30d (exclude purchasers)
├─ Ad Set: RET-VideoViewers-75pct
├─ Ad Set: RET-CartAbandoners-14d
└─ Ad Set: RET-PageEngagers-60d
Facebook's algorithm needs ~50 conversions per ad set per week to exit learning phase.
Rules:
Learning Phase Signals:
| Status | Meaning | Action |
|---|---|---|
| Learning | <50 conversions, algorithm exploring | Wait, don't touch |
| Learning Limited | Won't hit 50/week | Broaden audience or increase budget |
| Active | Exited learning, optimized | Safe to scale |
Structure tests to isolate variables:
Test: Hook Type Performance
─────────────────────────────
Campaign: FB_CONV_HookTest_T01
├─ Ad Set: Audience-A (identical across all)
│ ├─ Ad: Hook-Benefit
│ ├─ Ad: Hook-Problem
│ └─ Ad: Hook-Proof
└─ Control: Keep audience, placement, budget identical
Test Design Brief Template:
Variable: [What you're testing]
Hypothesis: [Expected outcome and why]
Metric: [Primary KPI]
Sample Size: [Min conversions needed]
Duration: [Min 7 days, ideally 14]
Success Criteria: [X% lift at 95% confidence]
| Goal | Objective |
|---|---|
| Build awareness | Brand Awareness / Reach |
| Drive website traffic | Traffic |
| Collect emails | Lead Generation |
| Sell products online | Conversions / Catalog Sales |
| Get app downloads | App Installs |
| Get messages/inquiries | Messages |
| Boost engagement | Engagement |
How to find winning interests:
Layered Targeting (Narrow Audience)
Interest 1: "Small Business Owners"
AND
Interest 2: "Accounting Software"
= Hyper-targeted audience
Broad + Narrow Stacking
Age: 25-65
Interest: "Entrepreneurship"
AND (Narrow): "Marketing"
AND (Narrow): "Facebook Marketing"
Competitor Targeting
Interests:
- [Competitor Brand 1]
- [Competitor Brand 2]
- [Industry Magazine]
- [Industry Influencer]
Pixel Events:
Retargeting Funnel:
30 days: All website visitors
14 days: Product page viewers (exclude buyers)
7 days: Cart abandoners (exclude buyers)
1 day: Checkout abandoners (HOT LEADS!)
Pixel Implementation: See references/pixel-setup.md for detailed code and event tracking.
Facebook finds people similar to your best customers.
Best Lookalike Sources:
Lookalike Size Strategy:
| Audience % | Use Case | Quality |
|---|---|---|
| 1% | Testing, highest quality | Excellent |
| 2-3% | Scaling winners | Very Good |
| 5-6% | Broad reach | Good |
| 10% | Max scale (lower quality) | Fair |
Advanced Stacking:
1% Lookalike (Purchasers)
AND
Interest: [Related topic]
AND
Age: 25-54
= Hyper-targeted lookalike
Every ad needs a hook in the first 3 seconds. Master these six types:
Lead with the outcome they want.
"Finally, passive income without being a landlord..."
"Make $10K/month while keeping your day job..."
"Build wealth in 2 hours a week..."
Call out the pain they're experiencing.
"Tired of trading time for money?"
"Sick of gurus selling you courses that don't work?"
"Still stuck at the same income level you were 5 years ago?"
Lead with credibility and results.
"I went from $0 to $1.2M in 18 months..."
"Here's how 847 students built 6-figure portfolios..."
"This strategy generated $47K last month alone..."
Open a narrative loop.
"I was sitting in my cubicle when I got the call..."
"Three years ago, I was $300K in debt..."
"Let me tell you about my worst investment ever..."
Challenge conventional wisdom.
"Everything you've been told about real estate is wrong..."
"Stop saving for retirement. Here's why..."
"The #1 reason most investors fail (it's not what you think)..."
Create an information gap.
"The strategy Wall Street doesn't want you to know..."
"I found a loophole in the tax code..."
"This one change doubled my deal flow..."
Adapt messaging to audience sophistication:
| Persona | Tone | Vocabulary | Pain Points |
|---|---|---|---|
| Executive (C-Suite) | Direct, ROI-focused | Strategic, time-value | Time scarcity, risk mitigation |
| Practitioner (Manager) | Tactical, how-to | Step-by-step, tools | Implementation, proof it works |
| Beginner (Aspiring) | Encouraging, simple | Jargon-free, relatable | Overwhelm, fear of failure |
| Skeptic (Burned before) | Transparent, evidence-based | Show the math, real numbers | Trust, realistic expectations |
Track all ad variants systematically:
| ID | Hook Type | Visual | Copy Angle | CTA | Status | CTR | CVR | ROAS |
|----|-----------|--------|------------|-----|--------|-----|-----|------|
| V01 | Problem | UGC Video | Pain point | Book Call | Active | 2.1% | 3.2% | 4.2x |
| V02 | Proof | Testimonial | Results | Learn More | Active | 1.8% | 2.8% | 3.8x |
| V03 | Benefit | Lifestyle | Outcome | Get Started | Testing | - | - | - |
| V04 | Story | Interview | Journey | Watch Now | Paused | 0.9% | 1.1% | 1.2x |
Image:
Video:
Copy:
PAS (Problem-Agitate-Solution):
Problem: "Tired of slow website load times?"
Agitate: "Every second costs you customers"
Solution: "Our CDN speeds up your site 10x"
CTA: "Start free trial →"
AIDA:
Attention: Bold claim or question
Interest: Benefit or feature
Desire: Social proof, urgency
Action: Clear CTA
Story Formula (for video):
Hook (0-3s): Pattern interrupt, bold claim
Value Proof (3-30s): Show transformation, social proof
CTA (30-45s): Clear next step, urgency
Access: https://www.facebook.com/ads/library
Search Process:
What to Analyze:
| Element | Questions to Answer |
|---|---|
| Hook | What grabs attention in first 3 seconds? |
| Pain Points | What problems are they highlighting? |
| Value Props | What benefits do they emphasize? |
| Social Proof | How do they build credibility? |
| CTA | What action do they want? |
| Format | Video, image, carousel? Which dominates? |
| Frequency | How many ads are they running? |
| Longevity | How long have ads been running? (longer = working) |
Competitor: [Name]
Date Analyzed: [Date]
Total Active Ads: [Number]
TOP THEMES:
1. [Theme 1] - [X] ads
2. [Theme 2] - [X] ads
3. [Theme 3] - [X] ads
PAIN POINTS HIGHLIGHTED:
- [Pain point 1]
- [Pain point 2]
- [Pain point 3]
SUCCESSFUL PATTERNS:
- [Pattern 1] - Why it likely works: [reason]
- [Pattern 2] - Why it likely works: [reason]
GAPS/OPPORTUNITIES:
- [What they're NOT addressing that you could]
CREATIVE INSPIRATION:
- [Screenshot/link to ad 1] - Adapt this because: [reason]
- [Screenshot/link to ad 2] - Adapt this because: [reason]
Detailed competitor research methodology: See references/competitor-research.md
Placement Strategy:
Daily Budget: Spend limit per day (recommended)
$50/day = $1,500/month (~30 days)
Lifetime Budget: Total spend over campaign duration
$500 lifetime over 10 days = $50/day average
Cost Controls:
CBO (Campaign Budget Optimization):
ABO (Ad Set Budget Optimization):
When to Use Each:
| Situation | Use |
|---|---|
| Testing new audiences | ABO |
| Scaling proven winners | CBO |
| Need control over spend per audience | ABO |
| Want algorithm to find best performers | CBO |
| Different audience sizes | ABO |
| Similar audience sizes | CBO |
Impressions: How many times ad shown Clicks: How many clicked CTR (Click-Through Rate): Clicks / Impressions x 100% CPC (Cost Per Click): Total Spend / Clicks CPM (Cost Per Mille): Cost per 1,000 impressions Conversions: Desired actions (purchase, signup, lead) CVR (Conversion Rate): Conversions / Clicks x 100% CPA (Cost Per Acquisition): Total Spend / Conversions ROAS (Return on Ad Spend): Revenue / Ad Spend Frequency: Impressions / Unique Reach (watch for fatigue >3-4)
ROAS < 1x = Losing money
ROAS = 2x = Breaking even (after COGS)
ROAS = 3x = Profitable
ROAS > 5x = Excellent
For detailed UTM parameters, server-side tracking, and Conversion API setup, see references/conversion-tracking.md.
Quick Setup:
See references/optimization.md for detailed A/B testing frameworks, troubleshooting low CTR/CVR, and scaling strategies.
Rate each test 1-10 on three factors:
ICE Score = (Impact + Confidence + Ease) / 3
| Factor | Question |
|---|---|
| Impact | How much will this move the needle on revenue? |
| Confidence | How sure are you this will work? |
| Ease | How easy is it to implement and measure? |
Example Prioritization:
| Test | Impact | Confidence | Ease | ICE | Priority |
|---|---|---|---|---|---|
| New hook type | 8 | 6 | 9 | 7.7 | High |
| Landing page headline | 9 | 7 | 7 | 7.7 | High |
| CTA button color | 3 | 8 | 10 | 7.0 | Low |
| New audience segment | 8 | 5 | 8 | 7.0 | Medium |
| Video vs image | 7 | 7 | 6 | 6.7 | Medium |
Increase budget on winning campaigns
Day 1: $100/day -> ROAS 5x
Day 3: $150/day (+50%)
Day 7: $200/day (+33%)
Day 14: $300/day (+50%)
Monitor: If ROAS drops below 3x, reduce budget
Duplicate winning campaigns with new audiences
Original: US, Age 25-35, Interests: Fitness
Duplicate 1: Canada, Age 25-35, Interests: Fitness
Duplicate 2: US, Age 35-45, Interests: Fitness
Duplicate 3: US, Age 25-35, Lookalike 1%
Setup:
Creative:
Testing:
Launch:
Ensure you have ads at every stage:
| Stage | Objective | Audience | Message Focus |
|---|---|---|---|
| TOFU (Awareness) | Reach, Video Views | Cold, Broad, Interests | Problem awareness, education |
| MOFU (Consideration) | Traffic, Lead Gen | Warm, Engagers, Video Viewers | Solution, differentiation |
| BOFU (Conversion) | Conversions | Hot, Retargeting, Cart Abandoners | Urgency, proof, CTA |
| Post-Purchase | Engagement | Customers | Upsell, referral, retention |
references/conversion-tracking.md - UTM parameters, Conversion API, server-side trackingreferences/optimization.md - A/B testing frameworks, troubleshooting, scalingreferences/pixel-setup.md - Facebook Pixel implementation and event trackingreferences/competitor-research.md - Detailed competitor analysis methodologynpx claudepluginhub nickloveinvesting/nick-love-plugins --plugin automation-toolsCreates complete Meta ad campaigns with audience targeting, ad copy variations, creative direction, budget allocation, and A/B testing protocols for Meta Ads Manager.
Guides creation, optimization, and scaling of paid ad campaigns on Google Ads, Meta, LinkedIn, and X for efficient customer acquisition. Useful for promoting products via performance marketing.
Assists with paid advertising campaigns on Google Ads, Meta, LinkedIn, and Twitter/X, including strategy, audience targeting, bidding, and optimization.