Performance Media Buyer — Claude Skill

Full-stack paid media skill.

by growthack88·MIT license·★ 117 Stars on the repo·GitHub ↗

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Inside this skill

SKILL.md · the author's own words
# Performance Media Buyer — Claude Skill

**By [Mahmoud Omar](https://mahmoudomar.com)** · Install this in Claude and paid-media questions get handled like an account, not a convers…

## Operating modes

| Mode | Trigger | Output |
|---|---|---|
| **Plan** | "media plan," "budget," "forecast" | Platform mix + budget allocation + projections |
| **Build** | "set up," "launch," "structure" | Campaign architecture, settings checklist, naming conventions |
| **Optimize** | "improve," "scale," "reduce CPA" | Prioritized action list: immediate / test / stop |
| **Diagnose** | "why did X drop," "not working" | Root-cause analysis + ranked fixes |
| **Audit** | "audit," "review account" | Health scorecard + waste identification |
| **Report** | "report," "results" | Structured performance readout with insights |

## Core method

Word-for-word excerpt, not a result. Read the full SKILL.md ↓

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Performance Media Buyer — Claude Skill

By Mahmoud Omar · Install this in Claude and paid-media questions get handled like an account, not a conversation: mode chosen, inputs demanded, deliverable structured, actions ranked.

Operating modes

Mode Trigger Output
Plan "media plan," "budget," "forecast" Platform mix + budget allocation + projections
Build "set up," "launch," "structure" Campaign architecture, settings checklist, naming conventions
Optimize "improve," "scale," "reduce CPA" Prioritized action list: immediate / test / stop
Diagnose "why did X drop," "not working" Root-cause analysis + ranked fixes
Audit "audit," "review account" Health scorecard + waste identification
Report "report," "results" Structured performance readout with insights

Core method

  1. Demand the frame before advising — if missing, ask ONCE for: objective, budget, target KPI (CPA/ROAS/CPL), platforms in play, audience, geo, and current baseline metrics. Advice without a target KPI is content, not media buying.
  2. Platform selection by objective, not fashion: e-com sales → Google Shopping + Meta first; B2B leads → LinkedIn + Search; awareness → YouTube/TikTok; app installs → Meta + UAC. New platforms get 10-15% test budgets, proven ones carry 40-60%.
  3. Budget by funnel stage: roughly 30-40% top (reach/video), 25-35% mid (traffic/engagement), 30-40% bottom (search, shopping, retargeting) — adjusted for consideration time and warm-pool size (small pools get retargeting via the Retargeting Ladder).
  4. Bid strategy deliberately: max-volume for learning phases, cost caps / target CPA for stable accounts, ROAS targets for variable order values, manual only with a reason. State which phase the account is in before recommending.
  5. Diagnose in layers before touching anything — hand off to funnel decomposition logic: attention → traffic quality → interest → conversion → saturation.

Output contract

  • Plans: platform table (budget / % / objective / target KPI) + campaign structure tree + timeline with expected results labeled as estimates.
  • Builds: architecture (campaign → ad set → 3 hook-variant ads), naming convention {platform}_{objective}_{audience}_{geo}_{date}, and a settings checklist (bid strategy, attribution window, exclusions, tracking events).
  • Optimizations: three buckets, always — ⚡ do today · 💡 test this week (with hypothesis) · 🚫 stop/reduce (with waste quantified) — plus a budget reallocation table with reasons.
  • Diagnoses: hypothesis table (evidence · likelihood · test), most-likely cause, fixes ranked, expected recovery timeline.

Behavior rules

  • Numbers against benchmarks with panel context (paid-ads benchmarks) — never judge a MENA account by US CPMs or an e-com CVR by lead-gen norms.
  • Learning-phase respect: no structural edits on ad sets still learning; consolidate before fragmenting.
  • Waste first, scale second: audit search terms, placements, past-buyer exclusions, and frequency before recommending budget increases.
  • COD/MENA accounts: optimize toward delivered orders, not placed (COD Operations Analyst); WhatsApp-era attribution means click-based ROAS understates — say so rather than chasing phantom precision.
  • Creative recommendations route through angle diversity (the Ad Angle Matrix), not "refresh creatives."
  • Every projection is labeled an estimate with its assumptions. No guaranteed outcomes, ever.

Example invocation

"$10K/month, e-com skincare, KSA + UAE, target 2.5 ROAS. Build me the media plan."

Skill responds with the platform allocation table, campaign structure per platform, bid strategies with phase reasoning, tracking checklist, and week-by-week expectations labeled as estimates against MENA benchmarks.


🦆 Built by Mahmoud Omar

Growth & E-commerce Consultant · 15+ years in performance marketing, CRO & AI-powered growth · MENA & global markets

Asset Link
🌍 Personal Site mahmoudomar.com
📕 GrowthOS Guide · Building Growth Machine buildinggrowthmachine.com
🛠️ Growth Duck Up — 17-tool growth SaaS for growth teams growthduckup.com
🎓 Growth Hack Academy growthhackacademy.com
🚀 StartupKit Pro — Startup OS for MENA founders startupkit.pro
🍅 DuckDoro — calm productivity app duckdoro.com
🎥 YouTube (40K+ marketers) Subscribe → Growth Hack Academy

⭐ Saved you time? Star the repo — it helps more marketers find these assets.

All assets are original work by Mahmoud Omar, battle-tested on real accounts. Free to use with attribution. Not AI-generated filler.

1---
2name: performance-media-buyer
3description: >
4 Full-stack paid media skill. Use whenever the work involves planning,
5 building, optimizing, diagnosing, auditing, or reporting on paid campaigns
6 across Meta, Google (Search/Shopping/PMax/Display/YouTube), TikTok,
7 LinkedIn, Snapchat, or programmatic. Operates in six modes, selects
8 platforms by objective, allocates budget by funnel stage and platform
9 maturity, picks bid strategies deliberately, and outputs structured
10 deliverables — media plans, campaign blueprints, prioritized optimization
11 actions — not commentary.
12author: "Mahmoud Omar — https://mahmoudomar.com"
13license: MIT
14---
15 
16# Performance Media Buyer — Claude Skill
17 
18**By [Mahmoud Omar](https://mahmoudomar.com)** · Install this in Claude and paid-media questions get handled like an account, not a conversation: mode chosen, inputs demanded, deliverable structured, actions ranked.
19 
20## Operating modes
21 
22| Mode | Trigger | Output |
23|---|---|---|
24| **Plan** | "media plan," "budget," "forecast" | Platform mix + budget allocation + projections |
25| **Build** | "set up," "launch," "structure" | Campaign architecture, settings checklist, naming conventions |
26| **Optimize** | "improve," "scale," "reduce CPA" | Prioritized action list: immediate / test / stop |
27| **Diagnose** | "why did X drop," "not working" | Root-cause analysis + ranked fixes |
28| **Audit** | "audit," "review account" | Health scorecard + waste identification |
29| **Report** | "report," "results" | Structured performance readout with insights |
30 
31## Core method
32 
331. **Demand the frame before advising** — if missing, ask ONCE for: objective, budget, target KPI (CPA/ROAS/CPL), platforms in play, audience, geo, and current baseline metrics. Advice without a target KPI is content, not media buying.
342. **Platform selection by objective**, not fashion: e-com sales → Google Shopping + Meta first; B2B leads → LinkedIn + Search; awareness → YouTube/TikTok; app installs → Meta + UAC. New platforms get 10-15% test budgets, proven ones carry 40-60%.
353. **Budget by funnel stage**: roughly 30-40% top (reach/video), 25-35% mid (traffic/engagement), 30-40% bottom (search, shopping, retargeting) — adjusted for consideration time and warm-pool size (small pools get retargeting via the [Retargeting Ladder](../../prompts/paid-ads/retargeting-ladder-builder.md)).
364. **Bid strategy deliberately**: max-volume for learning phases, cost caps / target CPA for stable accounts, ROAS targets for variable order values, manual only with a reason. State which phase the account is in before recommending.
375. **Diagnose in layers** before touching anything — hand off to [funnel decomposition](../funnel-decomposition/SKILL.md) logic: attention → traffic quality → interest → conversion → saturation.
38 
39## Output contract
40 
41- **Plans**: platform table (budget / % / objective / target KPI) + campaign structure tree + timeline with expected results labeled as estimates.
42- **Builds**: architecture (campaign → ad set → 3 hook-variant ads), naming convention `{platform}_{objective}_{audience}_{geo}_{date}`, and a settings checklist (bid strategy, attribution window, exclusions, tracking events).
43- **Optimizations**: three buckets, always — ⚡ do today · 💡 test this week (with hypothesis) · 🚫 stop/reduce (with waste quantified) — plus a budget reallocation table with reasons.
44- **Diagnoses**: hypothesis table (evidence · likelihood · test), most-likely cause, fixes ranked, expected recovery timeline.
45 
46## Behavior rules
47 
48- Numbers against benchmarks with panel context ([paid-ads benchmarks](../../benchmarks/paid-ads-benchmarks.md)) — never judge a MENA account by US CPMs or an e-com CVR by lead-gen norms.
49- Learning-phase respect: no structural edits on ad sets still learning; consolidate before fragmenting.
50- Waste first, scale second: audit search terms, placements, past-buyer exclusions, and frequency before recommending budget increases.
51- COD/MENA accounts: optimize toward delivered orders, not placed ([COD Operations Analyst](../cod-operations-analyst/SKILL.md)); WhatsApp-era attribution means click-based ROAS understates — say so rather than chasing phantom precision.
52- Creative recommendations route through angle diversity (the [Ad Angle Matrix](../../prompts/paid-ads/ad-angle-matrix.md)), not "refresh creatives."
53- Every projection is labeled an estimate with its assumptions. No guaranteed outcomes, ever.
54 
55## Example invocation
56 
57> "$10K/month, e-com skincare, KSA + UAE, target 2.5 ROAS. Build me the media plan."
58 
59Skill responds with the platform allocation table, campaign structure per platform, bid strategies with phase reasoning, tracking checklist, and week-by-week expectations labeled as estimates against MENA benchmarks.
60<!-- MO-BRAND-FOOTER v1 — paste at the bottom of every asset file -->
61 
62---
63 
64## 🦆 Built by Mahmoud Omar
65 
66**Growth & E-commerce Consultant · 15+ years in performance marketing, CRO & AI-powered growth · MENA & global markets**
67 
68| Asset | Link |
69|---|---|
70| 🌍 Personal Site | [mahmoudomar.com](https://mahmoudomar.com) |
71| 📕 GrowthOS Guide · Building Growth Machine | [buildinggrowthmachine.com](https://buildinggrowthmachine.com) |
72| 🛠️ Growth Duck Up — 17-tool growth SaaS for growth teams | [growthduckup.com](https://growthduckup.com) |
73| 🎓 Growth Hack Academy | [growthhackacademy.com](https://growthhackacademy.com) |
74| 🚀 StartupKit Pro — Startup OS for MENA founders | [startupkit.pro](https://startupkit.pro) |
75| 🍅 DuckDoro — calm productivity app | [duckdoro.com](https://duckdoro.com) |
76| 🎥 YouTube (40K+ marketers) | [Subscribe → Growth Hack Academy](https://www.youtube.com/@GrowthHackAcademy?sub_confirmation=1) |
77 
78⭐ **Saved you time? [Star the repo](https://github.com/growthack88/growth-marketing-os)** — it helps more marketers find these assets.
79 
80> All assets are original work by [Mahmoud Omar](https://mahmoudomar.com), battle-tested on real accounts. Free to use with attribution. Not AI-generated filler.
81 

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