google-ads-scaling-calculator

google-ads-scaling-calculator is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 86 tokens per session (1,677 once invoked), scanned A, original, MIT.

A guide for deciding how much to increase a Google Ads budget while considering incremental return on ad spend, meaning the extra revenue earned from extra spending. It uses campaign cost, conversions, impression share, and profitability targets.

In plain words
What is it for?
Use it to estimate scaling headroom, calculate break-even and incremental returns, and make a staged budget-growth plan.
Why use it?
Increasing a budget does not always produce the same increase in results. It helps distinguish limited budget from weak ad rank or a market that is already close to saturation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to estimate scaling headroom, calculate break-even and incremental returns, and make a staged budget-growth plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator
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.

Any agent
npx skills add Ad-Superpowers/ad-superpowers-plugin --skill google-ads-scaling-calculator
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 120 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.

agentmods badge for google-ads-scaling-calculator

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-ads-scaling-calculator

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/google-ads-scaling-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,677 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01677
Opus 5.5 $0.00034 $0.00671
Sonnet 5.5 $0.00017 $0.00335
Haiku 4.5 $0.00009 $0.00168

Measured 1mo ago against content hash 174b1d95216b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

google-ads-scaling-calculator 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 1mo 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/skills/google-ads-scaling-calculator/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scaling Calculator

Complete guide for calculating and implementing Google Ads budget scaling strategies with focus on profitability and incremental ROAS.

Pull Scaling Baseline Data via MCP

google_ads_run_gaql(query="
  SELECT campaign.name, campaign.bidding_strategy_type,
         metrics.search_impression_share,
         metrics.search_budget_lost_impression_share,
         metrics.search_rank_lost_impression_share,
         metrics.cost_micros, metrics.conversions,
         metrics.cost_per_conversion,
         metrics.conversions_value,
         campaign.target_roas.target_roas,
         campaign.target_cpa.target_cpa_micros
  FROM campaign
  WHERE segments.date DURING LAST_30_DAYS
    AND campaign.status = 'ENABLED'
  ORDER BY metrics.cost_micros DESC
  LIMIT 20
")

Interpret:

  • search_budget_lost_impression_share > 15% → budget is the scaling bottleneck
  • search_rank_lost_impression_share > 20% → bids/QS limit reach — fix first
  • Both low → market saturation; try horizontal scaling or Demand Gen / PMax

Scaling Fundamentals

More budget does not mean linearly more results. Diminishing returns occur because best audiences and search terms trigger first, more budget means broader (less relevant) reach, and competition forces higher bids.

Break-Even Calculations

ROAS Break-Even

Formula: Break-Even ROAS = 1 / Gross Margin %
Target ROAS = 1 / (Gross Margin - Desired Net Margin)

Quick reference:
├── 30% margin → Break-even 3.33x, Target (10% profit) 3.70x
├── 40% margin → Break-even 2.50x, Target (10% profit) 2.78x
├── 50% margin → Break-even 2.00x, Target (10% profit) 2.22x

CPA Break-Even

E-commerce: Break-Even CPA = AOV x Gross Margin %
Lead Gen:   Break-Even CPL = Customer Value x Close Rate x Margin

Examples:
├── AOV $100, Margin 40%: Break-even CPA = $40
├── Customer Value $2000, Close Rate 10%, Margin 30%: Break-even CPL = $60

Full ROAS and CPA break-even tables by margin level in references/detailed-reference.md.

Read the full file on GitHub · 162 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 1mo ago First seen · 162 lines · 86 tokens per session scan A 174b1d95216b

Subscribe to this mod's changes

google-ads-scaling-calculator is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 86 tokens to every session and 1,677 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-11.

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