Agent skill
channel-selection-framework
This skill should be used when the user asks to \"choose an advertising platform\", \"compare Meta vs Google vs LinkedIn\", \"plan a media mix\", mentions \"which channel should I use\", \"budget allocation across platforms\", or \"best platform for my audience\".
Filed under Partnerships and channel.
From Ad-Superpowers/ad-superpowers-plugin · 120 skills · 5 · pushed 2026-09-10
What it does when it runs
This skill should be used when the user asks to \"choose an advertising platform\", \"compare Meta vs Google vs LinkedIn\", \"plan a media mix\", mentions \"which channel should I use\", \"budget allocation across platforms\", or \"best platform for my audience\". Do NOT use for: cross-platform attribution issues (use attribution-reconciler), audience persona creation (use buyer-persona-framework), or market sizing for budget justification (use market-sizing-guide).
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Install it
View source on GitHub ↗git clone --depth 1 --filter=blob:none --sparse https://github.com/Ad-Superpowers/ad-superpowers-plugin.git /tmp/ad-superpowers-plugin git -C /tmp/ad-superpowers-plugin sparse-checkout set "plugin/skills/channel-selection-framework" mkdir -p ~/.claude/skills/channel-selection-framework cp -R "/tmp/ad-superpowers-plugin/plugin/skills/channel-selection-framework/." ~/.claude/skills/channel-selection-framework/
Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗
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The skill
Source on GitHub ↗Reproduced in full from Ad-Superpowers/ad-superpowers-plugin/blob/9b6385d2d2d228e4dac096a1d6bc5715c04fa736/plugin/skills/channel-selection-framework/SKILL.md, which is licensed MIT (repository). 2,528 words, 32 headings.
Channel Selection Framework for Advertising
Purpose
Enable agencies and advertisers to make data-driven decisions about which advertising channels to use for specific campaigns. Move from intuition-based channel selection to systematic, objective-matched decisions.
When to Use This Skill
Invoke when user mentions:
- Channel selection: "Which platform should I use?"
- Platform comparison: "Meta vs Google Ads"
- Media mix: "How should I split budget across channels?"
- New campaign planning: "Starting a new campaign, where should I advertise?"
- Channel fit: "Is TikTok right for my audience?"
- Budget decisions: "How much do I need for LinkedIn?"
- Funnel stage: "Best platform for awareness/conversion?"
Part 1: Channel Selection Decision Tree
Quick Decision Framework
START: What is your PRIMARY objective?
│
├─► AWARENESS (Reach, Brand Recognition)
│ │
│ ├─► Budget > €5,000/month?
│ │ ├─► YES: Meta + TikTok + YouTube
│ │ └─► NO: Meta (best reach per €)
│ │
│ └─► Target Audience?
│ ├─► 18-34: TikTok primary, Meta secondary
│ ├─► 35-54: Meta primary, YouTube secondary
│ └─► 55+: Meta primary, Google Display secondary
│
├─► CONSIDERATION (Engagement, Traffic, Interest)
│ │
│ ├─► B2B or B2C?
│ │ ├─► B2B: LinkedIn + Google Search + Meta
│ │ └─► B2C: Meta + TikTok + Google Display
│ │
│ └─► Content Type?
│ ├─► Video: TikTok, YouTube, Meta
│ ├─► Written: LinkedIn, Google
│ └─► Visual: Meta, Pinterest
│
├─► CONVERSION (Sales, Leads, Signups)
│ │
│ ├─► Product Type?
│ │ ├─► E-commerce: Google Shopping + Meta + TikTok Shop
│ │ ├─► SaaS/B2B: Google Search + LinkedIn + Meta
│ │ ├─► Local Service: Google Local + Meta
│ │ └─► App: Meta App + TikTok + Google App
│ │
│ └─► Sales Cycle?
│ ├─► Impulse (<24h): Google Search + Meta retargeting
│ ├─► Short (1-7 days): Meta + Google
│ ├─► Medium (7-30 days): Full multi-touch
│ └─► Long (30+ days): LinkedIn + Content + Retargeting
│
└─► FULL FUNNEL (Brand + Performance)
│
└─► Budget Level?
├─► <€5k/mo: Pick ONE platform, full funnel within it
├─► €5-15k/mo: 2 platforms, complementary roles
├─► €15-50k/mo: 3 platforms, defined roles per funnel stage
└─► €50k+/mo: 4+ platforms, sophisticated attribution
Part 2: Platform Strengths & Weaknesses Matrix
Comprehensive Platform Comparison
| Dimension | Meta (FB/IG) | Google Search | Google Display | TikTok | YouTube | |
|---|---|---|---|---|---|---|
| Awareness | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Consideration | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Conversion | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| B2B Targeting | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐ |
| B2C Targeting | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Reach Efficiency | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Cost Efficiency | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ |
| Targeting Precision | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| Creative Flexibility | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Attribution Clarity | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| Ease of Management | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| Learning Curve | Medium | High | Medium | Medium | Low | Medium |
Platform Strengths Summary
Meta (Facebook/Instagram):
- ✅ Largest addressable audience
- ✅ Best lookalike audiences
- ✅ Strong visual/video formats
- ✅ Excellent retargeting
- ❌ Privacy changes impacting targeting
- ❌ Creative fatigue (10-14 day cycle)
- 💰 Minimum viable: €1,000/month
Google Search:
- ✅ Highest purchase intent
- ✅ Best attribution clarity
- ✅ Keyword-level control
- ✅ Works for all industries
- ❌ Limited creative options
- ❌ Can be expensive in competitive verticals
- 💰 Minimum viable: €500/month
LinkedIn:
- ✅ Best B2B targeting (job title, company, industry)
- ✅ Professional context
- ✅ Lead Gen Forms (high conversion)
- ❌ Highest CPCs/CPMs
- ❌ Smaller audiences
- ❌ Limited to professional content
- 💰 Minimum viable: €2,000/month
TikTok:
- ✅ Lowest CPMs, great reach
- ✅ Viral potential
- ✅ Strong Gen Z/Millennial reach
- ✅ TikTok Shop integration
- ❌ Fastest creative fatigue (4-7 days)
- ❌ Requires native content style
- ❌ Less suited for B2B/older demos
- 💰 Minimum viable: €1,000/month
YouTube:
- ✅ Video storytelling
- ✅ Brand safety controls
- ✅ Connected TV reach
- ✅ Google ecosystem integration
- ❌ Requires video production
- ❌ Higher production costs
- 💰 Minimum viable: €1,500/month
Part 3: Audience Fit Analysis by Platform
Demographic Fit Matrix
| Age Group | Meta | TikTok | YouTube | ||
|---|---|---|---|---|---|
| 13-17 | ⭐⭐ | ⭐⭐ | ❌ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| 18-24 | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| 25-34 | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| 35-44 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| 45-54 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |
| 55-64 | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐ | ⭐⭐⭐ |
| 65+ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ❌ | ⭐⭐⭐ |
Audience Type Recommendations
| Audience Type | Primary Channel | Secondary | Avoid |
|---|---|---|---|
| Gen Z consumers | TikTok | Meta (IG) | |
| Millennials | Meta | TikTok, YouTube | - |
| Gen X | Meta | Google, LinkedIn | TikTok |
| Baby Boomers | Meta | TikTok | |
| B2B Decision Makers | Google Search | TikTok | |
| C-Suite | TikTok | ||
| Small Business Owners | Meta | - | |
| Tech Professionals | - | ||
| Healthcare | TikTok | ||
| Finance | TikTok | ||
| E-commerce shoppers | Meta | Google Shopping | |
| App users | TikTok | Meta | |
| Local customers | Google Local | Meta |
Industry-Specific Channel Recommendations
| Industry | Primary | Secondary | Notes |
|---|---|---|---|
| E-commerce/DTC | Meta, Google Shopping | TikTok | Visual products thrive on Meta/TikTok |
| SaaS B2B | LinkedIn, Google Search | Meta retargeting | Long sales cycle, professional targeting |
| SaaS B2C | Meta, Google | TikTok | Consumer-focused, broad reach |
| Professional Services | LinkedIn, Google | Meta | Trust and credibility important |
| Healthcare | Google Search | Meta, LinkedIn | High intent searches, regulations |
| Finance/Insurance | Google, LinkedIn | Meta | Compliance considerations |
| Education | Meta, Google | TikTok | Depends on age of students |
| Travel | Meta, Google | TikTok, YouTube | Visual inspiration + booking intent |
| Real Estate | Meta, Google | LinkedIn (commercial) | Local targeting important |
| Automotive | YouTube, Meta | Video for consideration | |
| Food & Beverage | TikTok, Meta | Google Local | UGC and visual content |
| Fashion | Meta, TikTok | Google Shopping | Visual-first platforms |
| Gaming | TikTok, YouTube | Meta | Engagement and video |
| Non-profit | Meta, Google | Lower costs, mission-driven |
Part 4: Budget Thresholds by Channel
Minimum Viable Budgets
| Channel | Absolute Minimum | Recommended Minimum | Sweet Spot |
|---|---|---|---|
| Meta | €500/month | €1,500/month | €5,000-15,000/month |
| Google Search | €300/month | €1,000/month | €3,000-10,000/month |
| Google Shopping | €500/month | €1,500/month | €5,000-15,000/month |
| €1,000/month | €3,000/month | €10,000-30,000/month | |
| TikTok | €500/month | €1,500/month | €5,000-15,000/month |
| YouTube | €1,000/month | €2,500/month | €7,500-20,000/month |
Budget-to-Channel Mapping
| Monthly Budget | Recommended Channels | Channel Count |
|---|---|---|
| €0 - €1,000 | Meta OR Google Search | 1 |
| €1,000 - €3,000 | Meta + Google Search | 2 |
| €3,000 - €5,000 | Meta + Google + 1 other | 2-3 |
| €5,000 - €10,000 | Meta + Google + TikTok or LinkedIn | 3 |
| €10,000 - €25,000 | 3-4 channels with clear roles | 3-4 |
| €25,000 - €50,000 | Full multi-channel | 4-5 |
| €50,000+ | All relevant channels | 4-6 |
Cost Efficiency Ranking (2025-2026)
By CPM (Lowest to Highest):
- TikTok (€3-8)
- Meta Display (€5-12)
- Meta Feed (€8-15)
- Google Display (€5-15)
- YouTube (€10-20)
- Google Search (N/A - CPC based)
- LinkedIn (€25-60)
By CPC (Lowest to Highest):
- TikTok (€0.20-0.80)
- Meta (€0.40-1.50)
- Google Display (€0.30-1.00)
- Google Search (€0.80-5.00+)
- YouTube (€0.10-0.30 per view)
- LinkedIn (€2.00-8.00)
Part 5: Funnel Stage Channel Selection
Awareness Stage (TOFU)
Goal: Maximize reach and brand recognition
| Priority | Channel | Role | KPIs |
|---|---|---|---|
| 1 | Meta (Reach campaigns) | Broad awareness | Reach, CPM, Frequency |
| 2 | TikTok | Viral potential | Views, CPM, Shares |
| 3 | YouTube | Video storytelling | Views, VTR, CPV |
| 4 | Google Display | Broad visibility | Impressions, Reach |
Budget Split: 60-70% of awareness budget
Consideration Stage (MOFU)
Goal: Drive engagement and intent signals
| Priority | Channel | Role | KPIs |
|---|---|---|---|
| 1 | Meta (Traffic/Engagement) | Content engagement | CTR, Time on Site |
| 2 | Google Search (Generic) | Research queries | CTR, Bounce Rate |
| 3 | LinkedIn (Content) | B2B engagement | Engagement Rate |
| 4 | YouTube | Product consideration | View Rate, Subscribers |
Budget Split: 20-30% of total budget
Conversion Stage (BOFU)
Goal: Drive purchases, leads, signups
| Priority | Channel | Role | KPIs |
|---|---|---|---|
| 1 | Google Search (Intent) | High intent capture | CPA, ROAS, CVR |
| 2 | Meta (Retargeting) | Re-engage visitors | CPA, ROAS |
| 3 | Google Shopping | Product purchase | ROAS, CPA |
| 4 | LinkedIn Lead Gen | B2B leads | CPL, Lead Quality |
Budget Split: 40-50% of performance budget
Full-Funnel Budget Template
| Funnel Stage | Budget % | Primary Channel | Secondary |
|---|---|---|---|
| Awareness | 30% | Meta/TikTok | YouTube |
| Consideration | 20% | Meta/Google Display | |
| Conversion | 50% | Google Search | Meta Retargeting |
Part 6: Channel Selection Checklist
Pre-Selection Questions
Business Context:
- What is the primary campaign objective?
- What is the available monthly budget?
- What is the product/service type (B2B/B2C/E-commerce)?
- What is the typical sales cycle length?
- What geography are we targeting?
Audience Context:
- What is the target age range?
- What platforms does the audience use?
- Are we targeting professionals or consumers?
- Do we have existing customer data for lookalikes?
- What content format resonates with this audience?
Resource Context:
- Do we have video production capability?
- How often can we refresh creative?
- What tracking/pixels are already set up?
- What is the team's platform expertise?
Channel Selection Scorecard
Score each channel 1-5 for your specific situation:
| Factor | Meta | TikTok | Weight | ||
|---|---|---|---|---|---|
| Audience fit | /5 | /5 | /5 | /5 | 25% |
| Objective match | /5 | /5 | /5 | /5 | 25% |
| Budget viability | /5 | /5 | /5 | /5 | 20% |
| Creative capability | /5 | /5 | /5 | /5 | 15% |
| Team expertise | /5 | /5 | /5 | /5 | 15% |
| Weighted Score | 100% |
Interpretation:
- 4.0+: Primary channel candidate
- 3.0-3.9: Secondary channel candidate
- 2.0-2.9: Test only if budget allows
- <2.0: Not recommended
Part 7: Common Channel Combinations
Proven Multi-Channel Strategies
E-commerce Starter (€3-5k/month):
- Meta (60%): Prospecting + Retargeting
- Google Shopping (40%): Product capture
B2B Lead Gen (€5-10k/month):
- LinkedIn (40%): Professional targeting
- Google Search (35%): Intent capture
- Meta Retargeting (25%): Re-engage visitors
D2C Brand Building (€10-20k/month):
- TikTok (35%): Awareness + UGC
- Meta (35%): Full-funnel
- Google (30%): Intent capture
Local Business (€2-5k/month):
- Google Local/Search (60%): High intent
- Meta (40%): Local awareness
App Install (€10k+/month):
- TikTok (40%): Cost-efficient installs
- Meta (35%): Lookalikes
- Google App (25%): Intent
Enterprise B2B (€25k+/month):
- LinkedIn (35%): Account-based
- Google Search (30%): Intent
- Meta (20%): Retargeting + Brand
- YouTube (15%): Thought leadership
Part 8: Quick Reference Tables
When to Use Each Platform
| Scenario | Best Platform | Why |
|---|---|---|
| New product launch | TikTok + Meta | Broad reach, visual showcase |
| B2B lead generation | LinkedIn + Google | Professional targeting + intent |
| E-commerce sales | Google Shopping + Meta | Purchase intent + retargeting |
| App downloads | TikTok + Meta | Cost-efficient installs |
| Local business | Google Local + Meta | Local intent + geo-targeting |
| Brand awareness | TikTok + YouTube | Video reach, viral potential |
| Retargeting | Meta + Google Display | Best retargeting capabilities |
| High-ticket B2B | Professional context, lead quality | |
| Quick sale B2C | Google Search | Immediate intent |
Red Flags: When NOT to Use a Platform
| Platform | Don't Use When |
|---|---|
| TikTok | B2B enterprise, 55+ audience, small budget (<€1k) |
| B2C products, budget <€2k, impulse purchases | |
| Meta | Very niche B2B, no creative resources |
| Google Search | No search volume for product category |
| YouTube | No video capability, <€1.5k budget |
Optional: Enrich with Live Data
If the user has connected accounts, validate channel selection with actual traffic and search volume data:
# See how existing traffic splits across channels — which are already performing?
ga4_run_report(
property_id="YOUR_PROPERTY_ID",
start_date="30daysAgo",
end_date="today",
metrics=["sessions", "keyEvents", "totalUsers"],
dimensions=["sessionDefaultChannelGroup"]
)
# Check search impression volume for core keywords to confirm Google Search viability
google_ads_run_gaql(
customer_id="YOUR_CUSTOMER_ID",
query="SELECT search_term_view.search_term, metrics.impressions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS ORDER BY metrics.impressions DESC LIMIT 25"
)
Use GA4 channel data to identify where you already have traction, and GAQL to verify that search demand actually exists before recommending Google Search as a channel.
Last updated: February 2026 Framework based on industry best practices and Ad Superpowers platform data
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Need help setting it up?
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