What is channel-strategy-advisor?

An advertising-planning command that recommends a mix of channels such as Meta, Google Ads, LinkedIn, TikTok, and Google Analytics based on campaign goals, audience, funnel stage, sales cycle, and budget. It needs a Pro subscription and the Ad Superpowers connector for platform data.

Use it to plan a monthly advertising budget, decide which platforms support awareness or conversions, match channels to a target audience, and compare expected metrics such as cost per acquisition or return on ad spend.

Choosing where to advertise is difficult when each platform serves different audiences and campaign stages. This organises the choice into channel priorities, budget shares, roles, and expected performance measures.

channel-strategy-advisor — Command for Claude Code by Ad-Superpowers

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 17 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/channel-strategy-advisor.svg)](https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/channel-strategy-advisor)

Your own site

<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/channel-strategy-advisor"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/channel-strategy-advisor.svg" alt="Measured on agentmods" height="20"></a>

Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,472 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01472
Opus 5	$0.00026	$0.00736
Sonnet 5	$0.00011	$0.00294
Haiku 4.5	$0.00005	$0.00147

Measured 8d ago against content hash ab327a415b8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

channel-strategy-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/commands/channel-strategy-advisor.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Platforms: meta, google_ads, linkedin, tiktok, google_analytics Tier: pro

This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.

Channel Strategy Advisor

Recommend the optimal advertising channel mix for [specify company_name] ([specify industry]) with objective [specify primary_objective] and EUR10,000/month budget. Geography: Netherlands / Europe.

Conditional: if target_audience Audience: [specify target_audience]. Conditional: if product_type Product type: [specify product_type]. Conditional: if existing_channels Current channels: [specify existing_channels]. Conditional: if sales_cycle Sales cycle: [specify sales_cycle].

OUTPUT FORMAT (CRITICAL - follow this EXACT structure)

Channel	Priority	Allocation %	Monthly Budget	Role	Expected KPI
[Channel]	1	XX%	XXXX	[Conversion/Prospecting/Awareness]	[CPA XX / ROAS Xx / CPM XX]
[Channel]	2	XX%	XXXX	...	...
[Channel]	3	XX%	XXXX	...	...
Total	-	100%	XXXX	-	Blended: [metric]

For each recommended channel, include:

Why it fits this objective + audience
Campaign types to run
Expected results range
Success criteria / KPI targets

Also include:

Channels NOT recommended and why
Implementation roadmap (Week 1-2: Launch, Week 3-4: Optimize, Month 2: Scale)

EXECUTION STEPS

Step 1: Discover Connected Accounts

meta_list_ad_accounts() -- check Meta availability
google_ads_list_accounts() -- check Google Ads availability
linkedin_list_ad_accounts() -- check LinkedIn availability
tiktok_get_advertiser_info() -- check TikTok availability
ga4_list_properties() -- check GA4 availability

Step 2: Gather Current Performance (if accounts exist)

Pull last 30 days from each connected platform to understand current channel performance:

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 107 lines · 53 tokens per session scan A ab327a415b8f

Subscribe to this mod's changes

channel-strategy-advisor is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 10d ago), licensed MIT. It adds 53 tokens to every session and 1,472 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Claude Code Marketing and SEO advertising attribution campaign-optimization claude ga4

channel-strategy-advisor

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Channel Strategy Advisor

OUTPUT FORMAT (CRITICAL - follow this EXACT structure)

EXECUTION STEPS

Step 1: Discover Connected Accounts

Step 2: Gather Current Performance (if accounts exist)

What this file has done since we first saw it

Other commands, from other repositories

meta-audit

setup

audit

logout

status

checklist