Paid Media Plan
Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.
How to use it
- Hit Copy the whole skill.
- Claude: ⋯ → Download .md, then Customize → Skills → Add → Upload skill.
ChatGPT: make a Project and paste it into Instructions.
Neither? Paste it at the top of a new chat — it works for that chat. - Describe your job in plain words. The AI follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit AgriciDaniel/claude-ads/skills/ads-plan#main ~/.claude/skills/ads-planFor one project only, change the path to .claude/skills/ads-plan.
Not working?
- Check which app you pasted it into — the steps above name the right one.
- Some skills need the paid tier of Claude or ChatGPT.
Paste into Claude, ChatGPT or Cursor.
Show the full text32 lines
Paid Media Plan
- Read the setup profile, business economics, evidence, current account state, and relevant industry template as optional input.
- Define objective, customer, offer, conversion, value, constraints, geography, regulated category, time horizon, and success criteria.
- Evaluate channel roles and exclusions from first principles; do not require every
supported platform. For a channel outside the twelve-platform contract, load
ads/references/additional-platforms.mdand return a research lead unless its current buying, eligibility, measurement, and creative evidence is present. - Before proposing Meta budgets, learning-phase expectations, bidding,
consolidation, or performance forecasts, collect the account, Pixel, and
conversion cold-start dimensions per the contract in
skills/ads-meta/SKILL.md. When any dimension is cold orunknown, plan for measurement validation, explicit creative hypotheses, staged reversible tests, and confidence labels; do not apply mature-account benchmarks to missing history. - Specify campaign architecture, audience strategy, creative system, budget and pacing, measurement, experiments, policy controls, and operating cadence.
- Phase prerequisites before launch, learning, optimization, and scale.
- Assign every action an owner, timing, dependency, guardrail, evidence, success measure, and rollback or exit condition.
- Return canonical JSON and render the requested human plan.
A plan is advisory. It becomes an account change only through launch or optimize mutation gates.
| 1 | |
| 2 | name ads-plan |
| 3 | description "Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning." |
| 4 | |
| 5 | |
| 6 | # Paid Media Plan |
| 7 | |
| 8 | Read the setup profile, business economics, evidence, current account state, and |
| 9 | relevant industry template as optional input. |
| 10 | Define objective, customer, offer, conversion, value, constraints, geography, |
| 11 | regulated category, time horizon, and success criteria. |
| 12 | Evaluate channel roles and exclusions from first principles; do not require every |
| 13 | supported platform. For a channel outside the twelve-platform contract, load |
| 14 | `ads/references/additional-platforms.md` and return a research lead unless |
| 15 | its current buying, eligibility, measurement, and creative evidence is present. |
| 16 | Before proposing Meta budgets, learning-phase expectations, bidding, |
| 17 | consolidation, or performance forecasts, collect the account, Pixel, and |
| 18 | conversion cold-start dimensions per the contract in |
| 19 | `skills/ads-meta/SKILL.md`. When any dimension is cold or `unknown`, plan |
| 20 | for measurement validation, explicit creative hypotheses, staged reversible |
| 21 | tests, and confidence labels; do not apply mature-account benchmarks to |
| 22 | missing history. |
| 23 | Specify campaign architecture, audience strategy, creative system, budget and |
| 24 | pacing, measurement, experiments, policy controls, and operating cadence. |
| 25 | Phase prerequisites before launch, learning, optimization, and scale. |
| 26 | Assign every action an owner, timing, dependency, guardrail, evidence, success |
| 27 | measure, and rollback or exit condition. |
| 28 | Return canonical JSON and render the requested human plan. |
| 29 | |
| 30 | A plan is advisory. It becomes an account change only through launch or optimize |
| 31 | mutation gates. |
| 32 |
Discussion
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