Creator · nexscope-ai
Last updated · Sep 3, 2026
Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaig
Sandbox only
Install targets
Codex install prompt
Install the "amazon-advertising-strategy" agent skill from https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-advertising-strategy. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads management. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"nexscope-ai-amazon-advertising-strategy","task":"Install amazon-advertising-strategy","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy
Maintenance
fresh
13d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
622
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
622 GitHub stars
Repo activity
622 stars, 100 forks
Maintenance
13d since push
License
MIT
Install
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategyDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20amazon-advertising-strategy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20amazon-advertising-strategy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/nexscope-ai-amazon-advertising-strategy/install
Agent should check
Copy prompt
Task: Use amazon-advertising-strategy in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20amazon-advertising-strategy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nexscope-ai-amazon-advertising-strategy/install
Install command: npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/nexscope-ai-amazon-advertising-strategy/install
LLM text format
/api/skills/nexscope-ai-amazon-advertising-strategy/install?format=text
Find alternatives
/api/skills/search?q=amazon-advertising-strategy&limit=3
Agent prompt
Use amazon-advertising-strategy for this task. Review https://www.openagentskill.com/api/skills/nexscope-ai-amazon-advertising-strategy/install, then install with: npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategyRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/nexscope-ai-amazon-advertising-strategy
LLM text
/api/registry/manifest/nexscope-ai-amazon-advertising-strategy?format=text
Install alias
/api/registry/install/nexscope-ai-amazon-advertising-strategy
Recommend
/api/registry/recommend?task=Use%20amazon-advertising-strategy%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO622 GitHub stars
Stars/forks activity
INFO622 stars, 100 forks; issue activity unavailable in current metadata
Recent maintenance
PASS13d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
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--- name: amazon-advertising-strategy description: "Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads management." metadata: {"nexscope":{"emoji":"📢","category":"amazon"}} ---
# Amazon Advertising Strategy 📢
Comprehensive Amazon PPC strategy and campaign optimization. Master Sponsored Products, Sponsored Brands, and Sponsored Display for maximum ROI.
## Installation
```bash npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy -g ```
## Usage Examples
**Complete advertising strategy development:** ``` "Create a comprehensive Amazon PPC strategy for my kitchen gadgets with $5K monthly budget - need SP, SB, and SD campaigns" ```
**Campaign optimization and ACoS improvement:** ``` "My Amazon ads are running at 35% ACoS but I need 25% - help optimize my campaign structure and bidding strategy" ```
**Budget allocation across campaign types:** ``` "How should I allocate my $10K monthly Amazon ad spend across Sponsored Products, Sponsored Brands, and Sponsored Display?" ```
## Core Capabilities
### 1. Multi-Campaign Strategy Development - Complete campaign architecture across SP, SB, and SD campaign types - Budget allocation optimization and strategic campaign prioritization - Keyword strategy development and match type distribution - Competitive analysis and market positioning through advertising
### 2. Performance Optimization & ACoS Management - Bidding strategy optimization and automated bid management setup - ACoS target setting and profitability optimization frameworks - Performance tracking and campaign health monitoring systems - Creative optimization and ad copy testing methodologies
### 3. Advanced Campaign Management - Campaign structure optimization and scalability planning - Seasonal campaign planning and budget reallocation strategies - Cross-campaign synergy and portfolio-level optimization - Advanced targeting and audience development for maximum reach
## How It Works
### Step 1: Strategy Development & Campaign Architecture *Comprehensive advertising strategy creation and campaign structure design*
Develop integrated Amazon advertising strategy: - Analyze product portfolio and competitive landscape to determine optimal campaign mix and priorities - Design campaign architecture across Sponsored Products, Sponsored Brands, and Sponsored Display for maximum coverage - Establish keyword strategy with appropriate match types, negative keyword lists, and bidding approaches - Set budget allocation framework based on product margins, competition levels, and business objectives
### Step 2: Campaign Setup & Optimization Implementation *Tactical campaign creation and performance optimization systems*
Implement and optimize advertising campaigns: - Create campaign structures with proper targeting, bidding, and budget settings for each campaign type - Implement bidding strategies and ACoS targets based on product profitability and competitive positioning - Set up performance tracking and monitoring systems for ongoing campaign health assessment - Establish creative testing frameworks and ad copy optimization processes for continuous improvement
### Step 3: Performance Management & Strategic Scaling *Ongoing optimization and strategic campaign scaling*
Manage and scale advertising performance: - Monitor campaign performance against KPIs and adjust strategies based on data insights and market changes - Optimize budget allocation across campaigns and scale successful strategies while pausing underperformers - Implement advanced targeting strategies and audience development for expanded reach and efficiency - Establish ongoing competitive monitoring and strategic adaptation frameworks for long-term success
## Output Format
``` ## Amazon Advertising Strategy Plan **Account:** [Brand/Seller Name] | **Monthly Budget:** $[Amount] | **Product Categories:** [Categories] | **Current ACoS:** [X]%
### Account Assessment & Objectives
**Current Performance Analysis:** - **Total Monthly Spend:** $[Amount] across [X] campaigns - **Overall ACoS:** [X]% (Target: [Y]%) - **Campaign Distribution:** SP ([X]%), SB ([Y]%), SD ([Z]%) - **Top Performing Products:** [List top 3 ASINs by revenue] - **Underperforming Areas:** [Campaigns or products needing attention]
**Strategic Objectives:** - **Primary Goal:** [Revenue growth/Profitability improvement/Market share expansion] - **Target ACoS:** [X]% overall ([Y]% for new products, [Z]% for mature products) - **Budget Growth:** Scale to $[Amount] monthly over [X] months - **Market Position:** Achieve top [X] organic ranking for [Y] key keywords
### Campaign Architecture Strategy
**Sponsored Products (SP) - 60-70% of Budget**
**Campaign Structure:** ``` Product Targeting Campaigns: ├── Exact Match (High-Intent Keywords) │ ├── Brand Defense Campaign │ ├── High-Converting Keywords │ └── Category Leaders ├── Phrase Match (Medium-Intent Keywords) │ ├── Product Feature Keywords │ ├── Use Case Keywords │ └── Competitor Keywords └── Broad Match (Discovery Keywords) ├── Research Campaign (Low Bids) ├── Category Expansion └── New Keyword Mining ```
**SP Campaign Details:**
| Campaign Type | Budget Allocation | Bidding Strategy | Target ACoS | Keywords | |---------------|------------------|------------------|-------------|-----------| | Exact Match - Brand Defense | 20% | Aggressive ($2-5) | 15-20% | Brand + product terms | | Exact Match - High Converting | 25% | Moderate ($1-3) | 20-25% | Proven profitable keywords | | Phrase Match - Product Features | 20% | Conservative ($0.75-1.50) | 25-30% | Feature-based searches | | Broad Match - Discovery | 15% | Low ($0.25-0.75) | 35-45% | Category exploration |
**Sponsored Brands (SB) - 20-25% of Budget**
**Campaign Strategy:** - **Brand Awareness Campaigns:** Target competitor keywords and category terms - **Product Collection Campaigns:** Showcase product range and drive to Store - **Video Campaigns:** Product demonstrations and lifestyle content - **Custom Creative Campaigns:** A+ content integration and brand storytelling
**SB Campaign Structure:**
| Campaign Focus | Budget % | Creative Type | Target Keywords | Expected Results | |----------------|----------|---------------|-----------------|------------------| | Competitor Targeting | 40% | Custom Creative | Competitor brand terms | Market share capture | | Category Domination | 35% | Product Collection | Generic category terms | Brand visibility | | Video Showcases | 25% | Video Creative | How-to, lifestyle terms | Engagement + conversion |
**Sponsored Display (SD) - 15-20% of Budget**
**Targeting Strategy:** - **Product Targeting:** Competitor ASINs and complementary products - **Interest Targeting:** Lifestyle and behavioral audiences - **Retargeting:** Previous visitors and customers for upsell/cross-sell - **Lookalike Audiences:** Expand reach to similar high-value customers
**SD Campaign Framework:**
| Campaign Type | Budget Allocation | Targeting Method | Creative Focus | Goals | |---------------|------------------|------------------|----------------|--------| | Competitor Product Targeting | 40% | ASIN targeting | Product comparison | Direct competition | | Interest-Based Targeting | 30% | Lifestyle interests | Brand storytelling | Awareness building | | Retargeting Campaigns | 20% | Viewed products | Incentive offers | Conversion boost | | Lookalike Expansion | 10% | Similar audiences | Social proof | Reach expansion |
### Budget Allocation & Bidding Strategy
**Monthly Budget Distribution:** ``` Total Budget: $[Amount]/month
Sponsored Products (65%): $[Amount] ├── Exact Match Campaigns: $[Amount] (40% of SP) ├── Phrase Match Campaigns: $[Amount] (35% of SP) ├── Broad Match Campaigns: $[Amount] (25% of SP)
Sponsored Brands (25%): $[Amount] ├── Competitor Campaigns: $[Amount] (40% of SB) ├── Category Campaigns: $[Amount] (35% of SB) ├── Video Campaigns: $[Amount] (25% of SB)
Sponsored Display (10%): $[Amount] ├── Product Targeting: $[Amount] (40% of SD) ├── Interest Targeting: $[Amount] (30% of SD) ├── Retargeting: $[Amount] (20% of SD) ├── Lookalike: $[Amount] (10% of SD) ```
**Bidding Strategy Framework:**
**Dynamic Bidding Rules:** - **Down Only:** For established, profitable campaigns with consistent performance - **Up and Down:** For campaigns in optimization phase requiring bid flexibility - **Fixed Bids:** For budget control during testing or low-margin products
**Bid Optimization Logic:** ``` IF ACoS < Target ACoS AND Impressions > 1000 THEN Increase Bid by 15-25% ELSE IF ACoS > Target ACoS AND Clicks > 50 THEN Decrease Bid by 10-20% ELSE IF Impressions < 100 THEN Increase Bid by 25-50% ELSE MAINTAIN Current Bid ```
### ACoS Optimization Strategy
**Target ACoS by Product Lifecycle:**
| Product Stage | Target ACoS | Bidding Approach | Budget Priority | Focus | |---------------|-------------|------------------|-----------------|--------| | New Product Launch | 40-60% | Aggressive | High | Visibility + data collection | | Growth Phase | 25-35% | Moderate | Medium | Efficiency + scale | | Mature Product | 15-25% | Conservative | Low | Profitability focus | | Declining Product | <15% | Defensive | Minimal | Harvest strategy |
**ACoS Improvement Tactics:**
**Short-term (0-30 days):** - **Negative Keyword Audit:** Add 50-100 negative keywords from search term reports - **Bid Optimization:** Reduce bids by 15% on keywords with ACoS >40% - **Pause Underperformers:** Stop campaigns with ACoS >60% and <10 clicks - **Budget Reallocation:** Shift budget from poor performers to winners
**Medium-term (1-3 months):** - **Keyword Harvesting:** Move successful broad/phrase keywords to exact campaigns - **Campaign Restructuring:** Split high/low performing keywords into separate campaigns - **Creative Testing:** Test 3-5 different ad creatives per campaign type - **Landing Page Optimization:** Improve product listings for higher conversion rates
**Long-term (3-6 months):** - **Portfolio Strategy:** Balance growth products (higher ACoS) with profit products (lower ACoS) - **Seasonal Optimization:** Adjust strategies for Q4, Prime Day, and category-specific seasons - **Competitive Moats:** Build keyword ranking positions that are difficult to attack - **Brand Building:** Use advertising to support organic ranking improvements
### Advanced Targeting Strategies
**Keyword Research & Expansion:**
**Tier 1 Keywords (Exact Match, High Priority):** - Brand + product combinations - High-converting product feature keywords - Competitor brand + generic terms - Category leader keywords with purchase intent
**Tier 2 Keywords (Phrase Match, Medium Priority):** - Product use case keywords - Problem-solving keywords - Alternative product keywords - Seasonal/trend-based keywords
**Tier 3 Keywords (Broad Match, Discovery):** - Category exploration keywords - New market segment keywords - Long-tail variations - Voice search optimized phrases
**Audience Development Strategy:**
**Custom Audiences:** - **Previous Purchasers:** Upsell and cross-sell campaigns with new products - **Cart Abandoners:** Retargeting with incentive offers and social proof - **Product Viewers:** Multi-touch campaigns with educational content - **Competitor Customers:** Acquisition campaigns with differentiation messaging
**Lookalike Audiences:** - **High-LTV Customers:** Expand reach to similar high-value prospects - **Frequent Purchasers:** Target customers with similar buying patterns - **Category Enthusiasts:** Reach people with strong category interest - **Geographic Segments:** Regional expansion with proven customer profiles
### Performance Tracking & KPIs
**Campaign-Level Metrics:**
| KPI | SP Target | SB Target | SD Target
Source provenance
Decision snapshot
622 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for amazon-advertising-strategy, ready for a manual X post.
amazon-advertising-strategy: Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Spon... 622 stars https://www.openagentskill.com/skills/nexscope-ai-amazon-advertising-strategy?ref=x
Listing + install path for amazon-advertising-strategy: https://www.openagentskill.com/skills/nexscope-ai-amazon-advertising-strategy?ref=x Install: npx skills add nexscope-ai/Amazon-Skills --skill amazon-advertising-strategy
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