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ElasticFlow

Transformieren Sie Ihr Unternehmen mit KI-gestützter Workflow-Automatisierung. Eine einheitliche Plattform für alle Enterprise-Anforderungen.

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  3. Meta Ads Campaign Builder
KI-SkillBuild CampaignMarketing

Meta Ads Campaign Builder — Facebook + Instagram in 30 minutes — Claude Skill

Ein Claude-Skill für Claude Code von Gooseworks — ausführen mit /meta-ads-campaign-builder in Claude·Aktualisiert am 10. Apr. 2026

Kompatibel mitClaude·ChatGPT·OpenClaw

Build a Meta Ads campaign from ICP and objective

  • Takes ICP and campaign objective as input
  • Recommends audience targeting
  • Builds ad set structure per objective
  • Generates copy framework per placement
  • Exports as campaign brief or structured CSV

Für wen

Growth Marketer

You run experiments, optimize funnels, and own the numbers from signup to revenue. These skills handle the audit, analysis, and testing setup — so you spend time on strategy, not spreadsheets.

Skills für diese Rolle ansehen

Funktionen

Launch a new Meta campaign

Get a complete campaign architecture without an agency.

Test a new audience segment

Quickly build a Meta campaign targeting a new segment to validate fit.

Multi-product Meta strategy

Run once per product to keep campaign structures consistent across the account.

So funktioniert's

1

Take ICP, objective, and budget as input

2

Generate audience targeting recommendations

3

Build ad set structure per objective

4

Generate copy framework per placement

5

Export brief or CSV ready for Ads Manager

Verbesserte Metriken

Ad CTR
Higher CTR with placement-native copy framework
Marketing
CPA
Lower CPA with proper audience structure from day one
Marketing

Funktioniert mit

Meta Ads
manuell

Destination platform for the exported campaign

Ähnliche Skills

Automatisch vorgeschlagen anhand überlappender Attribute. Der Direktvergleich zeigt die Unterschiede.

Alle 4 vergleichen →

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↳ad-creative, ad-targetingvsad-creative(Optimization surface)·textvstext, url(What you provide)·markdown, csvvsmarkdown(Output formats)

Competitor Ad Teardown

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Sortiert nach Attributüberlapp × Differenzierung. Meta Ads Campaign Builder teilt 19+ Attribute mit jedem.

Möchten Sie Meta Ads Campaign Builder nutzen?

Wählen Sie, wie Sie starten möchten.

In Claude Code ausführen
Kostenlos. Open Source.

Installieren und führen Sie diesen Skill lokal auf Ihrem Computer aus.

1
Claude Code installieren

Öffnen Sie ein Terminal auf Ihrem Computer und fügen Sie diesen Befehl ein:

2
Skill installieren

Damit wird der Skill mit allen Dateien auf Ihren Computer heruntergeladen:

Hängen Sie -g an, damit es in allen Ihren Projekten verfügbar ist.

3
Ausführen

Starten Sie Claude Code und geben Sie den Befehl ein:

dann
Quellcode auf GitHub ansehen
Auf ElasticFlow nutzen
Team- und Kollaborationsfunktionen

Führen Sie Skills aus Ihrem Browser aus. Ergebnisse teilen, Zugriffe verwalten, mit Ihrem Team zusammenarbeiten. Kein Terminal nötig.

14 Tage kostenlos. Jederzeit kündbar.

View on GitHub

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 GoalMeta ObjectiveWhy
"Get demos/leads"Lead Generation OR ConversionsLead Gen = in-app forms (higher volume, lower quality). Conversions = website (lower volume, higher quality)
"Drive free trial sign-ups"ConversionsOptimize for on-site conversion event
"Build awareness for launch"Awareness (Reach)Maximize eyeballs in target audience
"Retarget website visitors"ConversionsBring warm traffic back to convert
"Drive traffic to content"TrafficOptimize 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:

LayerTargetingRationale
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:

SourceLookalike %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 engagers3-5%Widest cold audience

2B: Retargeting Audiences

AudienceWindowPurpose
All website visitors30 daysBroad retarget
Visited pricing/demo page14 daysHigh intent — push to convert
Engaged with ads (no click)30 daysAwareness → consideration
Video viewers (50%+)30 daysWarmed but not clicked
Lead form openers (not submitted)14 daysAbandoned 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

PlacementHeadline LimitPrimary Text LimitNotes
Feed (FB + IG)40 chars125 chars visible (500 max)Most versatile
Stories (FB + IG)40 charsMinimal text — visual-firstCTA button matters most
ReelsOverlay text onlyHook in first 3 secondsVideo required
Right column (FB)40 charsShortDesktop only — cheap impressions
Audience Network40 chars90 charsLower quality traffic

Copy Framework Per Ad

ElementFrameworkExample
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

VariantAnglePrimary Text HookHeadline
1Pain"[Pain point question]""[Solution benefit]"
2Outcome"[Result promise]""[Specific metric]"
3Social proof"[Customer result + name]""[Join X teams]"
4Contrarian"[Myth busting]""[Unexpected claim]"
5Product-led"[Feature highlight]""[Feature → benefit]"

Phase 4: Budget & Bidding

Budget Allocation

Budget TierProspectingRetargetingTesting
< $1K/mo60%30%10%
$1K-5K/mo50%30%20%
$5K+/mo45%25%30%

Bidding Strategy

ObjectiveRecommended Bid StrategyWhen to Switch
ConversionsLowest Cost (start) → Cost Cap (after 50 conversions)Once you have conversion data
Lead GenLowest CostUsually sufficient for lead forms
TrafficLowest Cost per ClickKeep it simple
AwarenessLowest Cost per 1K ImpressionsMaximize 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

ComponentCost
Audience research (web search)Free
Competitor ad research (optional)~$0.20-0.50 (Apify)
Copy generation + structureFree (LLM reasoning)
TotalFree-$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"
ElasticFlow

Transformieren Sie Ihr Unternehmen mit KI-gestützter Workflow-Automatisierung. Eine einheitliche Plattform für alle Enterprise-Anforderungen.

Folgen

Plattform

  • Funktionen
  • Vorteile
  • Anwendungsfälle
  • Workflow-Bibliothek

Anwendungsfälle

  • Vertrieb
  • Marketing
  • Finanzen & Recht
  • HR

Katalog

  • Abteilungen
  • Rollen
  • Tools
  • Metriken
  • Plattformen

Wachstum

  • Empfehlungsprogramm
  • Partner

Rechtliches

  • Datenschutzerklärung
  • Nutzungsbedingungen
  • Cookie-Richtlinie
  • Zulässige Nutzung
  • Sicherheit
  • SLA

© 2026 ElasticFlow. Alle Rechte vorbehalten.