Amazon Ppc Campaign

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkDeclared1 observation
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 1bc9142374b1 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/Amazon-Skills/amazon-ppc-campaignThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict1bc9142374b1A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Amazon PPC campaign builder and optimizer for sellers. Two modes: (A) Build — design a complete campaign structure from scratch with keyword groupings, bid calculations, and negative keyword lists, (B) Optimize — audit…

---
name: amazon-ppc-campaign
description: "Amazon PPC campaign builder and optimizer for sellers. Two modes: (A) Build — design a complete campaign structure from scratch with keyword groupings, bid calculations, and negative keyword lists, (B) Optimize — audit existing campaigns using search term reports, identify keyword funnel opportunities, calculate bid adjustments, and generate a week-by-week action plan. Integrates with amazon-keyword-research for keyword input. No API key required. Use when: (1) setting up Amazon PPC campaigns for a new product, (2) auditing existing campaign performance and ACoS, (3) optimizing keyword bids and negative keywords, (4) building Auto/Manual/Exact campaign structures, (5) analyzing search term reports for opportunities, (6) calculating break-even ACoS and target ACoS, (7) scaling profitable campaigns to Sponsored Brands or Display."
metadata: {"nexscope":{"emoji":"📢","category":"amazon"}}
---

# Amazon PPC Campaign Optimization 📢

Build profitable PPC campaign structures from scratch, or audit and optimize existing campaigns with data-driven bid adjustments. No API key — works out of the box.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc -g
```

## Two Modes

| Mode | When to Use | Input | Output |
|------|-------------|-------|--------|
| **A — Build** | Launching PPC for a new product | Product info + keywords + margins | Complete campaign blueprint + keyword groupings + initial bids |
| **B — Optimize** | Improving existing campaigns | Campaign data + search term reports + current ACoS | Optimization plan + bid adjustments + negative keyword list |

## Capabilities

- **ACoS financial framework**: Calculate break-even ACoS, target ACoS, and Max CPC from product margins — the foundation for every bid decision
- **Campaign architecture design**: Build a structured Auto → Broad → Exact funnel with proper negative keyword isolation between campaigns
- **Keyword grouping**: Organize keywords into campaign buckets with match types and initial bids based on confidence level
- **Bid optimization**: Apply ACoS-based bid adjustment rules using industry-standard formulas (cut/increase by percentage based on ACoS range)
- **Keyword funnel analysis**: Identify migration opportunities (Auto→Broad→Exact) and wasted spend (high-click zero-sale terms)
- **Negative keyword management**: Generate seed lists (cross-campaign, irrelevant terms, generic waste modifiers) and ongoing additions from search term data
- **Search term report analysis**: Parse user-provided campaign data to find profitable terms, wasteful terms, and optimization gaps
- **Competitor ASIN targeting**: Build product targeting campaigns aimed at competitor product pages
- **Integration chain**: Works with [amazon-keyword-research](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-keyword-research) for keyword input and [amazon-listing-optimization](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-listing-optimization) for pre-launch listing quality checks

## Usage Examples

### Mode A — Build New Campaigns

```
I'm launching a portable blender on Amazon US. Price: $39.99. Product cost: $8, shipping: $3, Amazon fees: $7.50. Here are my keywords: portable blender, personal blender, smoothie maker. Build me a PPC campaign structure.
```

```
Use amazon-keyword-research to find keywords for "bamboo cutting board", then build a PPC campaign structure. Product costs $6, sells for $29.99. Brand new product launch.
```

```
I want to advertise my dog t-shirt (ASIN B0D72TSM62, price $5.99, cost $2). Look at competitors B0CMD17929 and B0B76519ZG, extract their keywords, and build my PPC campaigns.
```

### Mode B — Optimize Existing Campaigns

```
My PPC ACoS is 58% and my target is 30%. I have 3 campaigns: Auto ($800/month, ACoS 67%), Manual Broad ($1,100, ACoS 48%), Manual Exact ($500, ACoS 33%). Product margin is 54%. Help me optimize.
```

```
Here's my search term report [paste CSV data]. Break-even ACoS is 40%. Find wasted spend, tell me what to negate and what to migrate.
```

```
Weekly PPC check: here are this week's search terms with clicks and sales [data]. Add negatives for 10+ clicks with no sales, move 2+ orders to Exact.
```

### Short Prompts Work Too

```
Help me set up PPC for my product B0D72TSM62
```
```
My ACoS is too high, help me fix it
```
```
I want to start advertising on Amazon
```

---

## How This Skill Collects Information

Users rarely provide everything upfront — and they don't need to. This skill follows a **progressive information gathering** approach:

**Step 1: Extract from the prompt.** Parse whatever the user already provided — ASIN, price, ACoS numbers, campaign names, keywords, etc.

**Step 2: Auto-discover.** If an ASIN is given, run the bundled `scripts/fetch-competitor.sh <ASIN>` to get price, category, BSR, and competitor context. This script handles Amazon's anti-bot protections. If the user mentions a product type without an ASIN, use `web_search` to understand the market.

**Step 3: Identify gaps.** Compare what you have against what's needed (see the Required Information tables in Mode A Step A1 and Mode B Step B1 below). Focus on what's **critical** to proceed:
- Mode A critical: **product costs** (to calculate ACoS) + **monthly ad budget** (to size campaigns) + **keywords or competitor ASINs** (to build campaigns)
- Mode B critical: **current ACoS** + **profit margin** (to know the gap and set targets)

**Step 4: One consolidated follow-up.** Ask only for missing critical items — in one conversational message, not a questionnaire:

```
Mode A example:
"I found your product — Paiaite Dog T-Shirt, $5.99 on Amazon. To build your
campaigns, I need three things:
  1. Your product cost per unit (so I can calculate your break-even ACoS)
  2. Your monthly ad budget (so I can size the campaigns right)
  3. Any target keywords or competitor ASINs? (Or I can research for you)"

Mode B example:
"Got it 

Excerpt, first 6,002 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc -g

git clone https://github.com/nexscope-ai/Amazon-Skills
git -C Amazon-Skills checkout 1bc9142374b1

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 1bc9142374b1

Questions about Amazon Ppc Campaign

• github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-ppc-campai — the audited source at commit 1bc9142374b1 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology