ad-campaign-analyzer

1# Ad Campaign Analyzer
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3## Overview
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5Take raw campaign performance data and turn it into testable decisions. Normalize the inputs, distinguish descriptive results from causal evidence, quantify uncertainty when the data supports it, and propose bounded budget experiments.
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7**Core principle:** Use verified measurements and explicit uncertainty to prioritize tests. This guide supports analysis, not a guarantee of optimal allocation or specialist performance.
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9## When to Use This Skill
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11- "Analyze my Google Ads performance"
12- "Which ads should I kill?"
13- "Is this campaign working?"
14- "Where am I wasting ad spend?"
15- "Optimize my Meta Ads"
16- "How should I split my ad budget?"
17- "Should I spend more on Google or Meta?"
18- "Reallocate my ad spend across channels"
19- "Where am I getting the best return?"
20- "I have $X/month for ads — how should I distribute it?"
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22## Phase 0: Intake
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241. **Campaign data** — One of:
25   - CSV export from Google Ads / Meta Ads Manager / LinkedIn Campaign Manager
26   - Pasted performance table
27   - Screenshots of dashboard (we'll extract the data)
282. **Platform(s)** — Google / Meta / LinkedIn / All
293. **Time period** — What date range does this cover?
304. **Monthly budget** — Total ad spend in this period
315. **Primary goal** — What conversion are you optimizing for? (Demos / Trials / Purchases / Leads)
326. **Target metrics** — Do you have target CPA or ROAS? If not, ask for an approved, dated benchmark source; never invent one.
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