Paid Platform Selector

Paid media channel selection

by gmmh1 · MIT license

---
name: paid-media-channel-selection
description: "Decide which paid advertising platform(s) fit a business — comparing Google, Meta, LinkedIn, TikTok, Amazon and others head-to-head. Triggers on 'which platform should I advertise on', 'Google Ads vs Meta Ads for my business', 'should I be on TikTok or Instagram', or 'where should I spend my ad budget'. Cross-platform decision layer — hands off to the chosen platform's own -strategy skill for depth."
---

# Paid Media Channel Selection

> **Currency & scope note (last reviewed 2026-07-19):** Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are **not guaranteed current** — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.

## Purpose
Compare platforms head-to-head against a specific business's goals, audience, creative capacity, and economics — the decision that has to happen before any single platform's own strategy skill (`google-ads-strategy`, `meta-ads-strategy`, etc.) can add value, since those assume the platform is already chosen.

## Trigger Conditions
- "Which platform should I advertise on?"
- "Google Ads vs. Meta Ads for my business"
- "Should I be on TikTok or Instagram?"
- "Where should I spend my ad budget?"

Overview

Decide which paid advertising platform(s) fit a business — comparing Google, Meta, LinkedIn, TikTok, Amazon and others head-to-head. Triggers on 'which platform should I advertise on', 'Google Ads vs Meta Ads for my business', 'should I be on TikTok or Instagram', or 'where should I spend my ad budget'. Cross-platform decision layer — hands off to the chosen platform's own -strategy skill for depth.

What you get

Ranked channel recommendation with rationale per platform
Explicit deprioritization calls for poor-fit channels
Sequencing/phasing recommendation if budget-constrained
Handoff to the chosen platform's strategy skill

Manual install (npx, ZIP)

Claude Codenpx skills add gmmh1/claude-paid-media-skills --skill paid-media-channel-selection -g -a claude-code

Claude Code (degit)

npx degit gmmh1/claude-paid-media-skills/skills/paid-media-channel-selection#main ~/.claude/skills/paid-media-channel-selection

Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

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Paid Media Channel Selection

Currency & scope note (last reviewed 2026-07-19): Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are not guaranteed current — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.

Purpose

Compare platforms head-to-head against a specific business's goals, audience, creative capacity, and economics — the decision that has to happen before any single platform's own strategy skill (google-ads-strategy, meta-ads-strategy, etc.) can add value, since those assume the platform is already chosen.

Trigger Conditions

"Which platform should I advertise on?"
"Google Ads vs. Meta Ads for my business"
"Should I be on TikTok or Instagram?"
"Where should I spend my ad budget?"

Required Inputs

Business type, product/service, average order value/deal size
Primary goal and funnel stage
Audience: B2C vs. B2B, and if B2B, deal size/sales cycle (a strong LinkedIn signal)
Existing demand signal: is there active search demand (Google-favoring) or does interest need to be created (Meta/TikTok-favoring)
Creative production capacity, especially for native short-form video (a hard TikTok gate) vs. static/moderate video (Meta) vs. minimal creative need (Google Search)
Budget

Core Capabilities

Platform Comparison Framework

Google Search: best when active search demand already exists and purchase/lead intent is expressed through queries — weak when the category has no search volume yet
Google Shopping/PMax: strong default inclusion for any ecommerce business with a product catalog
Meta: strong for visually-led products/services with at least moderate creative capacity, strong first-party data reuse (retargeting, lookalikes) once running
LinkedIn: justified only when B2B deal economics can absorb its premium CPC — the strongest platform for precise professional/ABM targeting, weakest for low-ACV or B2C
TikTok: strongest ROI-per-dollar-of-creative-effort for businesses that can produce or source genuinely native short-form video; a poor fit for businesses that will only supply repurposed traditional ad assets
Amazon/retail media: essentially mandatory consideration for any business selling through Amazon or a major retail marketplace, largely independent of the other four channels' fit

Multi-Channel Sequencing

Most viable businesses end up on 2-3 channels playing different funnel roles rather than one channel doing everything — e.g., Meta/TikTok for demand creation, Google Search/Shopping for intent capture, LinkedIn for B2B ABM overlay
Recommending a phased rollout (prove one channel first, then expand) for constrained budgets rather than thin simultaneous coverage across all channels

Decision Output

A ranked recommendation (not just a list) with the top 1-2 channels clearly prioritized and the rationale tied to the specific business inputs, not generic platform strengths
Explicit "don't bother yet" calls for channels that don't fit current constraints (e.g., "skip LinkedIn until deal size or ABM strategy justifies the CPC")

Workflow

Gather business type, goal, audience (B2C/B2B), demand signal, creative capacity, and budget.
Score each candidate platform against these inputs using the comparison framework.
Produce a ranked recommendation with the top 1-2 channels prioritized and clear rationale.
Recommend sequencing/phasing if budget is constrained rather than thin simultaneous coverage.
Hand off to the chosen platform's own -strategy skill (google-ads-strategy, meta-ads-strategy, linkedin-ads-strategy, tiktok-ads-strategy) for execution-level planning.

Outputs

Ranked channel recommendation with rationale per platform
Explicit deprioritization calls for poor-fit channels
Sequencing/phasing recommendation if budget-constrained
Handoff to the chosen platform's strategy skill

Rules

Never recommend a channel purely because it's currently popular/trendy — tie every recommendation to the specific business's goal, audience, creative capacity, and economics.
Prefer concentrated investment in 1-2 well-executed channels over thin coverage across many for constrained budgets.
Be willing to say "not yet" about a channel plainly, especially LinkedIn (deal-economics gate) and TikTok (creative-capacity gate).
Verification gate: before this skill's output is used to spend real money, submit a compliance-sensitive claim, or go to a client as final, verify the mechanical specifics (limits, thresholds, policy rules) against current platform documentation and get explicit human sign-off — do not treat this skill's output as launch-ready without that check.

paid-media-budget-allocation (once channels are chosen, how to split spend), google-ads-strategy, meta-ads-strategy, linkedin-ads-strategy, tiktok-ads-strategy (platform-specific depth after this decision).

1	---
2	name: paid-media-channel-selection
3	description: "Decide which paid advertising platform(s) fit a business — comparing Google, Meta, LinkedIn, TikTok, Amazon and others head-to-head. Triggers on 'which platform should I advertise on', 'Google Ads vs Meta Ads for my business', 'should I be on TikTok or Instagram', or 'where should I spend my ad budget'. Cross-platform decision layer — hands off to the chosen platform's own -strategy skill for depth."
4	---
5
6	# Paid Media Channel Selection
7
8	> Currency & scope note (last reviewed 2026-07-19): Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are not guaranteed current — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.
9
10	## Purpose
11	Compare platforms head-to-head against a specific business's goals, audience, creative capacity, and economics — the decision that has to happen before any single platform's own strategy skill (`google-ads-strategy`, `meta-ads-strategy`, etc.) can add value, since those assume the platform is already chosen.
12
13	## Trigger Conditions
14	- "Which platform should I advertise on?"
15	- "Google Ads vs. Meta Ads for my business"
16	- "Should I be on TikTok or Instagram?"
17	- "Where should I spend my ad budget?"
18
19	## Required Inputs
20	- Business type, product/service, average order value/deal size
21	- Primary goal and funnel stage
22	- Audience: B2C vs. B2B, and if B2B, deal size/sales cycle (a strong LinkedIn signal)
23	- Existing demand signal: is there active search demand (Google-favoring) or does interest need to be created (Meta/TikTok-favoring)
24	- Creative production capacity, especially for native short-form video (a hard TikTok gate) vs. static/moderate video (Meta) vs. minimal creative need (Google Search)
25	- Budget
26
27	## Core Capabilities
28
29	### Platform Comparison Framework
30	- Google Search: best when active search demand already exists and purchase/lead intent is expressed through queries — weak when the category has no search volume yet
31	- Google Shopping/PMax: strong default inclusion for any ecommerce business with a product catalog
32	- Meta: strong for visually-led products/services with at least moderate creative capacity, strong first-party data reuse (retargeting, lookalikes) once running
33	- LinkedIn: justified only when B2B deal economics can absorb its premium CPC — the strongest platform for precise professional/ABM targeting, weakest for low-ACV or B2C
34	- TikTok: strongest ROI-per-dollar-of-creative-effort for businesses that can produce or source genuinely native short-form video; a poor fit for businesses that will only supply repurposed traditional ad assets
35	- Amazon/retail media: essentially mandatory consideration for any business selling through Amazon or a major retail marketplace, largely independent of the other four channels' fit
36
37	### Multi-Channel Sequencing
38	- Most viable businesses end up on 2-3 channels playing different funnel roles rather than one channel doing everything — e.g., Meta/TikTok for demand creation, Google Search/Shopping for intent capture, LinkedIn for B2B ABM overlay
39	- Recommending a phased rollout (prove one channel first, then expand) for constrained budgets rather than thin simultaneous coverage across all channels
40
41	### Decision Output
42	- A ranked recommendation (not just a list) with the top 1-2 channels clearly prioritized and the rationale tied to the specific business inputs, not generic platform strengths
43	- Explicit "don't bother yet" calls for channels that don't fit current constraints (e.g., "skip LinkedIn until deal size or ABM strategy justifies the CPC")
44
45	## Workflow
46	1. Gather business type, goal, audience (B2C/B2B), demand signal, creative capacity, and budget.
47	2. Score each candidate platform against these inputs using the comparison framework.
48	3. Produce a ranked recommendation with the top 1-2 channels prioritized and clear rationale.
49	4. Recommend sequencing/phasing if budget is constrained rather than thin simultaneous coverage.
50	5. Hand off to the chosen platform's own `-strategy` skill (`google-ads-strategy`, `meta-ads-strategy`, `linkedin-ads-strategy`, `tiktok-ads-strategy`) for execution-level planning.
51
52	## Outputs
53	- Ranked channel recommendation with rationale per platform
54	- Explicit deprioritization calls for poor-fit channels
55	- Sequencing/phasing recommendation if budget-constrained
56	- Handoff to the chosen platform's strategy skill
57
58	## Rules
59	- Never recommend a channel purely because it's currently popular/trendy — tie every recommendation to the specific business's goal, audience, creative capacity, and economics.
60	- Prefer concentrated investment in 1-2 well-executed channels over thin coverage across many for constrained budgets.
61	- Be willing to say "not yet" about a channel plainly, especially LinkedIn (deal-economics gate) and TikTok (creative-capacity gate).
62
63	- Verification gate: before this skill's output is used to spend real money, submit a compliance-sensitive claim, or go to a client as final, verify the mechanical specifics (limits, thresholds, policy rules) against current platform documentation and get explicit human sign-off — do not treat this skill's output as launch-ready without that check.
64
65	## Related Skills
66	`paid-media-budget-allocation` (once channels are chosen, how to split spend), `google-ads-strategy`, `meta-ads-strategy`, `linkedin-ads-strategy`, `tiktok-ads-strategy` (platform-specific depth after this decision).
67