Claude Skill

paid-advertising

Plans, runs, and optimizes paid acquisition across search, social, and display — account structure, targeting, creative, bidding, budget, and the analysis that says whether to scale or stop. Use this to set up or restructure campaigns, write and iterate ad creative, diagnose risi

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Download cbrock84-headcount-plugins_demand-generation_skills_paid-advertising-98d1c17.zip · 3 KB
Part of cbrock84/headcount — 160 skills

Install

skills CLI npx skills add https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/paid-advertising
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install cbrock84-headcount@llmmart
Git git clone https://github.com/cbrock84/headcount.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole cbrock84/headcount collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Paid advertising

Paid is the fastest way to buy a result and the fastest way to buy nothing. The difference is mostly discipline before launch.

Before spending

  • Know the ceiling. Maximum acceptable acquisition cost, derived from margin and payback period, not from what feels affordable.
  • Conversion tracking verified end to end, with a test conversion confirmed in the platform. Optimizing against broken tracking teaches the algorithm the wrong thing, and that damage persists.
  • The destination is ready. Paid traffic to a page that does not convert is a donation. Fix the page first — it is cheaper.

Structure

Structure follows intent, since intent determines what a click is worth.

  • Search — separate by intent tier: brand, high-intent problem terms, category terms, broad research. Never one budget across all four; the broad terms will consume it.
  • Social — structure by audience, since creative fatigue and audience saturation are the two variables and you need to see them separately.
  • Enough volume per campaign to exit the learning phase. Over-segmentation starves every campaign of the data it needs.

Naming conventions

Decide the convention before the first campaign, because renaming later breaks historical reporting on every platform.

A workable pattern encodes, in fixed order: channel, objective, audience or intent tier, geography, and creative theme — separated consistently, with no spaces. It should be possible to filter a report by any one of those segments without opening a campaign.

Apply it to every level: campaign, ad set, and ad. Inconsistent naming is why cross-channel reporting takes a week to assemble and why nobody trusts it when it arrives.

Creative

Creative is the biggest lever on paid social and the most neglected.

  • Test genuinely different angles, not variations of one. Five headlines around one idea is one test.
  • The first frame or line does the work. Assume the rest is not seen.
  • Match the ad's promise to the landing page exactly. Mismatch shows up as a bounce you will misdiagnose as a targeting problem.
  • Expect fatigue and plan refreshes on a schedule; rising cost with flat conversion rate is usually fatigue, not competition.

Reading performance

Diagnose in sequence: impressions (is it serving), click-through (is the creative landing), conversion rate (is the page delivering), cost per acquisition (is it economic), and downstream quality (did those customers stay). Stopping at cost per acquisition is how channels get scaled that are buying bad customers cheaply.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

The platforms themselves: Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, Microsoft Advertising, TikTok Ads Manager, Reddit Ads, and similar. Each has its own definition of a conversion, and reconciling them against one internal definition is most of the analytics work.

Management and automation layers — Skai, Optmyzr, Smartly, and similar — are worth it at spend levels where a full-time person could not manually cover the account structure, and not before.

Creative volume is the constraint more often than bidding. Budget for producing variants at the rate the platform consumes them.

Never

  • Scale a campaign on a few conversions. Wait for significance.
  • Change several variables in one edit.
  • Let a channel run without a stated read-by date and a kill threshold.
Files (headcount)
  • references
    • sources.md 3.2 KB
      # Sources — `demand-generation:paid-advertising`
      
      <!-- Generated by scripts/build-sources.py from sources/*.toml. Do not edit. -->
      
      Check these before answering on anything they cover, and cite what you used. The use note on each one is binding: most of what a professional cites is free to read and not free to reproduce.
      
      ## .com Disclosures: How to Make Effective Disclosures in Digital Advertising
      
      US Federal Trade Commission · US · public domain (US government) — quote freely
      
      <https://www.ftc.gov/business-guidance/resources/com-disclosures-how-make-effective-disclosures-digital-advertising>
      
      **Authoritative for:** What 'clear and conspicuous' means on a screen — proximity, hyperlinks, scrolling, pop-ups, and space-constrained formats.
      
      ## Children's Online Privacy Protection Rule, 16 CFR 312
      
      US Federal Trade Commission · US · public domain (US government) — quote freely
      
      <https://www.ecfr.gov/current/title-16/chapter-I/subchapter-C/part-312>
      
      Machine-readable: <https://www.ftc.gov/business-guidance/resources/complying-coppa-frequently-asked-questions>
      
      **Authoritative for:** Whether a property counts as directed to children, and therefore whether behavioral advertising, retargeting pixels or lead capture may run on it at all.
      
      ## Guides Against Deceptive Pricing, 16 CFR 233
      
      US Federal Trade Commission · US · public domain (US government) — quote freely
      
      <https://www.ecfr.gov/current/title-16/chapter-I/subchapter-B/part-233>
      
      **Authoritative for:** Whether a 'was $X, now $Y', list-price, free-offer or percentage-off claim is lawful as presented.
      
      ## MRC standards and guidelines
      
      Media Rating Council · US · **read and cite only — copyrighted, do not reproduce**
      
      <https://mediaratingcouncil.org/standards-and-guidelines>
      
      **Authoritative for:** The primary definitions behind ad measurement — what counts as an impression, what counts as viewable, and what counts as invalid traffic. This is what every vendor dashboard claims to implement.
      
      ## Native Advertising: A Guide for Businesses
      
      US Federal Trade Commission · US · public domain (US government) — quote freely
      
      <https://www.ftc.gov/business-guidance/resources/native-advertising-guide-businesses>
      
      **Authoritative for:** When sponsored content is deceptively formatted, and what labeling makes a paid placement non-deceptive.
      
      ## Policy Statement Regarding Advertising Substantiation
      
      US Federal Trade Commission · US · public domain (US government) — quote freely
      
      <https://www.ftc.gov/legal-library/browse/ftc-policy-statement-regarding-advertising-substantiation>
      
      **Authoritative for:** What evidence you must already hold before making an objective claim. This is the document that answers whether you may say 'number one', 'three times faster' or 'clinically proven'.
      
      ## Product data specification
      
      Google · global · **read and cite only — copyrighted, do not reproduce**
      
      <https://support.google.com/merchants/answer/7052112>
      
      **Authoritative for:** The required attributes, formats and accepted values for a product feed — whether a listing is accepted is a specification question rather than an opinion.
      
      ---
      
      Sources are maintained in `sources/` upstream, not here. If one is wrong, out of date, or missing, fix it there — this file is regenerated and an edit to it is lost.
      
  • SKILL.md 4.1 KB
    ---
    name: paid-advertising
    description: Plans, runs, and optimizes paid acquisition across search, social, and display — account structure, targeting, creative, bidding, budget, and the analysis that says whether to scale or stop. Use this to set up or restructure campaigns, write and iterate ad creative, diagnose rising costs or falling performance, decide budget allocation, or judge whether a channel is working.
    ---
    
    # Paid advertising
    
    Paid is the fastest way to buy a result and the fastest way to buy nothing. The difference is
    mostly discipline before launch.
    
    ## Before spending
    
    - **Know the ceiling.** Maximum acceptable acquisition cost, derived from margin and payback period,
      not from what feels affordable.
    - **Conversion tracking verified end to end**, with a test conversion confirmed in the platform.
      Optimizing against broken tracking teaches the algorithm the wrong thing, and that damage
      persists.
    - **The destination is ready.** Paid traffic to a page that does not convert is a donation. Fix the
      page first — it is cheaper.
    
    ## Structure
    
    Structure follows intent, since intent determines what a click is worth.
    
    - **Search** — separate by intent tier: brand, high-intent problem terms, category terms, broad
      research. Never one budget across all four; the broad terms will consume it.
    - **Social** — structure by audience, since creative fatigue and audience saturation are the two
      variables and you need to see them separately.
    - Enough volume per campaign to exit the learning phase. Over-segmentation starves every campaign of
      the data it needs.
    
    ## Naming conventions
    
    Decide the convention before the first campaign, because renaming later breaks historical reporting
    on every platform.
    
    A workable pattern encodes, in fixed order: channel, objective, audience or intent tier, geography,
    and creative theme — separated consistently, with no spaces. It should be possible to filter a
    report by any one of those segments without opening a campaign.
    
    Apply it to every level: campaign, ad set, and ad. Inconsistent naming is why cross-channel
    reporting takes a week to assemble and why nobody trusts it when it arrives.
    
    ## Creative
    
    Creative is the biggest lever on paid social and the most neglected.
    
    - Test genuinely different **angles**, not variations of one. Five headlines around one idea is one
      test.
    - The first frame or line does the work. Assume the rest is not seen.
    - Match the ad's promise to the landing page exactly. Mismatch shows up as a bounce you will
      misdiagnose as a targeting problem.
    - Expect fatigue and plan refreshes on a schedule; rising cost with flat conversion rate is usually
      fatigue, not competition.
    
    ## Reading performance
    
    Diagnose in sequence: impressions (is it serving), click-through (is the creative landing),
    conversion rate (is the page delivering), cost per acquisition (is it economic), and downstream
    quality (did those customers stay). Stopping at cost per acquisition is how channels get scaled that
    are buying bad customers cheaply.
    
    ## Sources
    
    `references/sources.md` in this skill lists the outside authorities that settle the questions
    here — what each one is authoritative for, and what you may do with it. Check them before
    answering on anything they cover, and cite what you used. Most are free to read and not free
    to reproduce; the use note on each is binding.
    
    ## Tooling
    
    The platforms themselves: Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, Microsoft
    Advertising, TikTok Ads Manager, Reddit Ads, and similar. Each has its own definition of a
    conversion, and reconciling them against one internal definition is most of the analytics work.
    
    Management and automation layers — Skai, Optmyzr, Smartly, and similar — are worth it at spend
    levels where a full-time person could not manually cover the account structure, and not before.
    
    Creative volume is the constraint more often than bidding. Budget for producing variants at the
    rate the platform consumes them.
    
    ## Never
    
    - Scale a campaign on a few conversions. Wait for significance.
    - Change several variables in one edit.
    - Let a channel run without a stated read-by date and a kill threshold.
    

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