paid-channel-prioritizer

name	paid-channel-prioritizer
description	For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.
tags	["ads"]

Paid Channel Prioritizer

Answer the question every early-stage founder asks: "Where should I run ads?" This skill analyzes your product, ICP, competitors, and budget to recommend the right 1-2 channels to start with — plus a 90-day plan to get there.

Core principle: A $3K/month ad budget split across Google, Meta, LinkedIn, and TikTok means $750/channel — not enough for any platform to learn and optimize. This skill picks the best 1-2 channels and concentrates budget where it'll compound fastest.

When to Use

• "Where should I run ads?"
• "Which ad platform is best for us?"
• "I have $X/month for ads — where should I spend it?"
• "Should I do Google Ads or Facebook Ads?"
• "Help me choose a paid channel"

Phase 0: Intake

1. Product name + URL — What are you selling?
2. Business model — SaaS / Marketplace / E-commerce / Service / App
3. B2B or B2C? — Drives channel selection heavily
4. ICP — Who are you selling to? (Role, company size, industry)
5. Monthly ad budget — Be honest — how much can you spend?
6. Average deal size / LTV — What's a customer worth?
7. Current acquisition channels — How are you getting customers today? (Organic, referral, outbound, etc.)
8. Competitor names — 3-5 competitors
9. Landing page ready? — Do you have a dedicated LP or just a homepage?
10. Conversion goal — Free trial / Demo / Purchase / Lead magnet download

Phase 1: Channel Scoring

1A: Buyer Intent Analysis

Where does your buyer look when they have a problem?

Buyer Journey Stage	Likely Channel	Signal
"I need a tool for X" (active search)	Google Search	High-intent keywords exist
"I'm browsing and see something relevant" (passive)	Meta (FB/IG)	Visual/emotional product
"I need to solve this at work" (professional)	LinkedIn	B2B decision-maker targeting
"Everyone's talking about this" (social proof)	Twitter/X Ads	Category is trending
"I watch content about this" (education)	YouTube	Long consideration cycle
"I discovered it through content" (entertainment)	TikTok	B2C, young audience, visual

1B: Competitor Ad Presence Research

Search: site:facebook.com/ads/library "<competitor_domain>"
Search: "<competitor>" Google Ads OR PPC OR paid search
Search: "<competitor>" LinkedIn Ads OR sponsored
Search: "<competitor>" advertising strategy

Also check:

# If ad scrapers available:
python3 skills/meta-ad-scraper/scripts/scrape_meta_ads.py --domain <competitor_domain>
python3 skills/google-ad-scraper/scripts/scrape_google_ads.py --domain <competitor_domain>

Build a competitor channel map:

Competitor	Google	Meta	LinkedIn	Twitter	YouTube	TikTok
[Comp A]	[Active/Not found]	[N ads]	[Active/Not found]	...	...	...
[Comp B]	...	...	...	...	...	...

Insight: Where competitors are spending = validated channel. Where they're absent = opportunity or dead end.

1C: Channel Scoring Matrix

Score each channel for this specific product:

Factor (Weight)	Google Search	Meta	LinkedIn	YouTube	Twitter	TikTok
Buyer intent (25%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
Targeting precision (20%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
Competitor validation (15%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
Budget efficiency (15%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
ICP reachability (15%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
Creative requirements (10%)	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]	[1-10]
Weighted Score	[X/10]	[X/10]	[X/10]	[X/10]	[X/10]	[X/10]

Channel Context Notes

Channel	Best For	Worst For	Min Viable Budget	Creative Needs
Google Search	High-intent capture, B2B, established category	New categories nobody searches for	$1K/mo	Text ads (low barrier)
Meta (FB/IG)	Visual products, B2C, retargeting, lookalikes	Niche B2B with tiny audience	$1K/mo	Images + video (medium)
LinkedIn	B2B enterprise, specific titles/industries	B2C, budget-conscious startups	$3K/mo	Professional content (medium)
YouTube	Education-heavy products, long consideration	Impulse purchases, tiny budgets	$2K/mo	Video production (high)
Twitter/X	Dev tools, trending categories, tech audiences	Mainstream B2C, precise targeting	$1K/mo	Short-form copy (low)
TikTok	B2C, Gen Z/millennial, visual/fun products	B2B enterprise, older audience	$500/mo	Short video (high frequency)

Phase 2: Recommendation

Primary Channel Selection

Pick the #1 channel based on:

1. Highest weighted score
2. Budget viability (can they afford minimum viable spend?)
3. Creative readiness (can they produce the required content?)

Secondary Channel Selection

Pick channel #2 only if:

• Budget > $3K/month (enough for two channels)
• It serves a different funnel stage than channel #1
• It doesn't require creative they can't produce

Budget Allocation

Budget Level	Recommendation
< $1.5K/mo	1 channel only — concentrate everything
$1.5K-3K/mo	1 primary + retargeting — primary channel + Meta/Google retargeting ($300-500)
$3K-7K/mo	2 channels — 65% primary, 25% secondary, 10% retargeting
$7K+/mo	2-3 channels — diversify with testing budget

Phase 3: 90-Day Ramp Plan

Month 1: Foundation (Days 1-30)

Week 1: Setup

• Set up conversion tracking (Pixel, GTM, GA4)
• Create landing page (if needed)
• Build initial audiences / keyword list
• Launch 2-3 ad variants on primary channel

Week 2-3: Learn

• Collect data — do NOT optimize yet
• Monitor for setup issues (tracking, disapprovals, targeting)
• Minimum 500 impressions per variant before judging

Week 4: First Optimization

• Pause worst-performing ad variant
• Add 1-2 new variants based on early signals
• Adjust bids/budgets based on CPM/CPC data

Month 2: Optimize (Days 31-60)

• Review conversion data — any ads producing results?
• Launch retargeting campaign (if not already)
• Test new audiences / keywords
• A/B test landing pages (if conversion rate is low)
• Begin secondary channel test (if budget allows)

Month 3: Scale or Pivot (Days 61-90)

• If working: Increase budget 30-50% on winning audiences/keywords
• If not working: Diagnose (bad targeting? bad LP? bad offer?)
• Evaluate secondary channel test results
• Run this skill again with real data → ad-campaign-analyzer

Phase 4: Output Format

# Paid Channel Strategy — [Product Name] — [DATE]

## Your Profile
- Product: [Name]
- Model: [SaaS / B2C / etc.]
- ICP: [Summary]
- Monthly budget: $[X]
- Conversion goal: [Goal]

---

## Channel Scoring

| Channel | Score | Verdict |
|---------|-------|---------|
| [Top channel] | [X/10] | **PRIMARY — Start here** |
| [Second channel] | [X/10] | **SECONDARY — Add in month 2** |
| [Third channel] | [X/10] | Test later if budget grows |
| [Others] | [X/10] | Not recommended now |

---

## Why [Primary Channel]

**Top reasons:**
1. [Reason — tied to their specific product/ICP]
2. [Reason]
3. [Reason]

**What competitors are doing there:** [Evidence]

**Minimum viable budget:** $[X]/mo
**Expected cost per conversion:** $[X-Y] range (category benchmark)

---

## Why NOT [Channel They Might Assume]

[Brief explanation of why the obvious choice isn't right — e.g., "LinkedIn is too expensive for your $2K budget — you'd only reach ~500 people/month"]

---

## Budget Allocation

| Channel | Monthly Budget | Purpose |
|---------|---------------|---------|
| [Primary] | $[X] | [Prospecting / Lead gen] |
| [Retargeting] | $[X] | [Bring back visitors] |
| [Secondary — Month 2] | $[X] | [Test — evaluate after 30 days] |

---

## 90-Day Ramp Plan

### Month 1: [Primary Channel] Launch
[Specific weekly actions]

### Month 2: Optimize + Test [Secondary]
[Specific actions]

### Month 3: Scale or Pivot
[Decision criteria]

---

## Pre-Launch Checklist
- [ ] Landing page live and tested
- [ ] Conversion tracking installed and verified
- [ ] Initial audiences / keywords built
- [ ] 3 ad variants ready
- [ ] Daily budget cap set ($[X]/day)
- [ ] Weekly review scheduled

Save to clients/<client-name>/ads/channel-strategy-[YYYY-MM-DD].md.

Cost

Component	Cost
Competitor ad research	~$0.40-1.00 (Apify, if using ad scrapers)
Web research	Free
Analysis and planning	Free (LLM reasoning)
Total	Free-$1.00

Tools Required

• web_search — for competitor research and channel validation
• Optional: meta-ad-scraper, google-ad-scraper for competitor presence check
• Optional: ad-creative-intelligence for deeper competitor ad analysis

Trigger Phrases

• "Where should I run ads?"
• "Which ad platform should I use?"
• "Help me pick a paid channel"
• "Google Ads or Facebook Ads?"
• "I have $[X]/month — where should I advertise?"
• "What paid channels work for [product type]?"