linkedin-campaign-scaling-guide

linkedin-campaign-scaling-guide is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 108 tokens per session (5,576 once invoked), scanned A, original, MIT.

A guide to increasing LinkedIn advertising spend while monitoring audience size, repetition, costs, and results. It focuses on controlled expansion rather than simply raising budgets.

In plain words
What is it for?
Use it to plan audience expansion, allocate budgets, adjust bids, review frequency, and investigate campaign plateaus.
Why use it?
It helps address rising costs, audience saturation, and declining efficiency when a campaign grows.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Use it to plan audience expansion, allocate budgets, adjust bids, review frequency, and investigate campaign plateaus.

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Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide
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 linkedin-campaign-scaling-guide
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 linkedin-campaign-scaling-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide/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 linkedin-campaign-scaling-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-campaign-scaling-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,576 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 $0.00108 $0.05576
Opus 5.5 $0.00043 $0.02230
Sonnet 5.5 $0.00022 $0.01115
Haiku 4.5 $0.00011 $0.00558

Measured 1mo ago against content hash 654ab68590a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-campaign-scaling-guide 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/linkedin-campaign-scaling-guide/SKILL.md · 577 lines

How it starts

The opening of the file, as written. The whole thing — 577 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Campaign Scaling Guide

Purpose

Help advertisers scale LinkedIn ad spend profitably in a platform known for high CPCs (€5-15 average), small professional audiences, and rapid frequency buildup. LinkedIn scaling requires fundamentally different strategies than Meta or Google — brute-force budget increases destroy efficiency within days. This skill provides frameworks for controlled scaling through audience expansion, geographic layering, daypart optimization, and bid strategy management.

When to Use This Skill

Invoke when user mentions:

  • Scaling: "How do I scale LinkedIn spend from €5K to €20K/month?"
  • Diminishing returns: "My CPC keeps rising as I increase budget"
  • Audience saturation: "Frequency is getting too high on LinkedIn"
  • Budget allocation: "How much should I spend per campaign on LinkedIn?"
  • Expansion: "Should I expand my audience or increase bids?"
  • Plateau: "My LinkedIn campaigns plateaued, what now?"

Required Tools

Tool Purpose
linkedin_query Pull campaign data, audience sizes, targeting, and delivery metrics
linkedin_get_analytics Analyze performance trends, frequency data, and cost evolution

Part 1: Scaling Readiness Assessment

Pre-Scaling Checklist

Before scaling, verify the current campaign is performing well enough to justify more spend.

SCALING READINESS SCORECARD (all must be YES):

□ Campaign has been live for 14+ days (algorithm learning complete)
□ CTR is above 0.35% for Sponsored Content
□ Lead Gen form completion rate is above 5%
□ CPL is within acceptable range for your ACV
□ Frequency is below 4x per month
□ MQL rate is above 40% (leads are actually qualified)
□ No single creative has been running for >21 days without refresh
□ Audience size is >20,000 members (room to scale)
□ Daily budget is being fully spent (not capped by audience)
□ Conversion tracking is working (LinkedIn Insight Tag firing)

If any item is "NO", fix that issue before scaling. Scaling a broken campaign just wastes money faster.

Read the full file on GitHub · 577 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.

  1. 1mo ago First seen · 577 lines · 108 tokens per session scan A 654ab68590a7

Subscribe to this mod's changes

linkedin-campaign-scaling-guide is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 1mo ago), licensed MIT. It adds 108 tokens to every session and 5,576 once invoked, about $0.0004 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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