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Ecommerce Advertising

作者 Henk Nie · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ecommerce-advertising
功能描述
Full-funnel e-commerce advertising planner for cross-channel campaigns. Covers keyword research, competitor ad analysis, audience insights, campaign architec...
使用说明 (SKILL.md)

E-Commerce Advertising 📢

Build your full-funnel advertising strategy across all major channels: Amazon PPC, Google Ads, Meta Ads, TikTok Ads, and Pinterest Ads.

Supported platforms: Amazon, Shopify, Walmart, eBay, TikTok Shop, WooCommerce, Standalone DTC

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-advertising -g

Capabilities

  • Keyword research: Core keywords, long-tail opportunities, competition density, suggested bid ranges
  • Competitor ad analysis: Which channels competitors use, what angles they run, what's working
  • Audience insights: Target persona extraction from reviews and market data
  • Campaign architecture: Campaign structure, ad group organization, targeting strategies
  • Cross-channel budget allocation: How much to spend on each channel based on stage and goals
  • Ad copy generation: Headlines, descriptions, CTAs optimized per platform
  • KPI targets: ACoS, ROAS, CTR, CVR benchmarks for your category

Usage Examples

I'm launching a silicone kitchen utensil set on Amazon US, also have a Shopify store. Price $29.99, cost $8. Monthly ad budget $3,000. Help me plan my advertising strategy.
Selling premium dog treats on Shopify. $45 AOV, 55% margin. Want to start with $2,000/month ads. Which platforms should I prioritize?
I have a TikTok Shop selling phone accessories. Budget $1,500/month. What's my ad strategy?

How This Skill Works

Step 1: Collect Information

Parse from the user's prompt:

  • Product / category
  • Target market (US, UK, DE, JP, CA, etc.)
  • Sales platform(s)
  • Monthly ad budget
  • Profit margin
  • Business stage (launch / growth / scale)
  • Competitor ASINs or brand names (optional)

Step 2: One Follow-Up Question Set

Great — kitchen utensils at $29.99 with $3,000/month budget. To build your strategy:

1. Your product cost per unit: $_____

2. Primary goal?
   a) Launch — build awareness, get initial sales
   b) Growth — scale proven winners
   c) Profitability — optimize for max ROAS
   d) Seasonal push — short-term spike

3. How do customers find products like yours?
   a) They search for it (e.g., "silicone spatula")
   b) They discover it visually
   c) They need to see it in action (demo)
   d) Not sure

4. Brand positioning?
   a) Premium  b) Mid-market  c) Budget  d) Other: ___

5. Competitors to analyze? (ASIN or brand, optional)

Reply like: 1. $8  2b  3a  4b  5. B09XYZ123

Step 3: Execute Analysis

Generate the full output using the frameworks below.


Keyword Research

Use web_search to gather keyword data.

Step 1: Search for seed keywords

web_search: "[product] keywords"
web_search: "[product] amazon autocomplete"

Step 2: Research long-tail opportunities

web_search: "[product] for [use case]"
web_search: "best [product] for [specific need]"

Step 3: Analyze competition

web_search: "[keyword] amazon sponsored"
Competition Indicators Strategy
Low \x3C10K results, few ads Bid aggressively
Medium 10K-50K results Balanced bid
High 50K+ results Long-tail focus

Bid Ranges by Platform:

Platform Low Med High
Amazon PPC $0.30-0.60 $0.60-1.20 $1.20-2.50
Google Shopping $0.20-0.50 $0.50-1.00 $1.00-2.00
Google Search $0.50-1.00 $1.00-2.00 $2.00-4.00

Competitor Ad Analysis

Use web_search and web_fetch to gather competitor intelligence.

Step 1: Identify competitors

web_search: "[product] best sellers amazon"
web_search: "[product category] top brands"

Step 2: Analyze channel presence

web_search: "[brand name] amazon sponsored"
web_fetch: https://www.facebook.com/ads/library/?q=[brand]
web_search: "[brand name] tiktok ads"

Step 3: Extract ad angles

web_search: "[competitor brand] marketing"
web_fetch: [competitor website]

Step 4: Identify gaps

  • Angles competitors aren't using
  • Platforms where they're weak
  • Keywords they're missing

Audience Insights

Use web_search and web_fetch to build personas.

Step 1: Mine reviews

web_fetch: https://www.amazon.com/dp/[ASIN]
web_search: "[product] reviews reddit"
web_search: "[product] complaints"

Step 2: Build personas

  • Demographics (age, gender from review hints)
  • Motivations (why they buy)
  • Pain points (what they hate)
  • Language (exact phrases for ad copy)

Step 3: Extract ad copy angles

  • From positive reviews → benefits to highlight
  • From negative competitor reviews → problems to solve

Channel Selection

Product Type Primary Channel Secondary
Search-driven Amazon PPC / Google Shopping Meta retargeting
Visual / lifestyle Meta Ads Pinterest, Google
Demo-driven TikTok Ads Meta, YouTube
Impulse (\x3C$30) TikTok, Meta Amazon PPC
High-ticket (>$100) Google Search Meta retargeting

Platform Benchmarks (2025-2026)

Platform Avg ROAS Top Quartile Avg CPC
Amazon PPC 3.5x 5x+ $0.80-1.50
Google Shopping 4.5x 6x+ $0.50-1.20
Meta Ads 2.2x 4-5x $0.70-1.50
TikTok Ads 1.4x 2.5x+ $0.50-1.00

Sources: Triple Whale 2025, Lebesgue 2026

Budget Thresholds

Budget Strategy
\x3C $1,000 ONE channel only
$1,000-3,000 Primary (70%) + retargeting (30%)
$3,000-10,000 2-3 channels
$10,000+ Full cross-channel

Budget Allocation (70-20-10)

Allocation Purpose
70% Proven channels (highest ROAS)
20% Promising channels (scaling)
10% Testing / experimental

Campaign Architecture

Amazon PPC

├── Exact Match - Core Keywords (40%)
├── Phrase Match - Discovery (25%)
├── Auto - Harvesting (20%)
└── Product Targeting (15%)

Google Ads

├── Shopping - High Priority
├── Search - Brand
├── Search - Non-Brand
└── Performance Max

Meta Ads

├── Prospecting - Interest Based
├── Prospecting - Lookalike
└── Retargeting (visitors, cart, purchasers)

TikTok Ads

├── Broad Targeting
├── Spark Ads (boost organic)
└── Lookalike

Ad Copy Templates

Google Ads

Headline 1 (30 chars): [Keyword] - [Price/Offer]
Headline 2 (30 chars): [Key Benefit]
Headline 3 (30 chars): [Social Proof]
Description (90 chars): [What it is] + [Feature] + [CTA]

Meta Ads

Primary (125 chars): [Hook] + [Benefit] + [Emoji]
Headline (40 chars): [Offer]
CTA: Shop Now

TikTok

Caption (100 chars): [Hook] #hashtags
Hook formulas:
- "POV: [relatable situation]"
- "Stop buying [inferior product]"
- "This [product] changed my [routine]"

KPI Targets

Metric Launch Growth Mature
Amazon ACoS 35-50% 25-35% 15-25%
Google ROAS 2-3x 3-4x 4-6x
Meta ROAS 1.5-2x 2-3x 3-4x
TikTok ROAS 1-1.5x 1.5-2x 2-3x

Calculate Targets

Break-even ROAS = 1 / Profit Margin
Target ROAS = Break-even × 1.5
Max CPA = AOV × Profit Margin

Output Format

# 📢 E-Commerce Advertising Strategy

**Product:** [name]
**Market:** [market]
**Budget:** $[budget]/month
**Stage:** [Launch / Growth / Scale]

## 1. Keyword Research
[Keyword tables]

## 2. Competitor Analysis
[Channel presence, angles, gaps]

## 3. Target Audience
[Personas, pain points, targeting]

## 4. Channel Strategy
[Recommended channels + budget split]

## 5. Campaign Architecture
[Platform structures]

## 6. Ad Copy
[Headlines, descriptions, hooks]

## 7. KPI Targets
[Metrics to hit]

## ⚠️ Notes
- Search volumes are estimates
- Use platform tools for precise data

Limitations

This skill provides strategic analysis based on web research and industry benchmarks. For real-time keyword data, actual search volumes, live competitor tracking, and integrated campaign management, check out Nexscope — Your AI Assistant for smarter E-commerce decisions.


Related Skills

For deeper PPC strategy:

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-ppc-strategy-planner -g

Detailed ROAS calculations, budget allocation, and ad copy generation.

For Amazon-specific advertising:

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

Amazon Sponsored Products, Sponsored Brands, and Sponsored Display.

All e-commerce skills:


Built by Nexscope — your AI assistant for smarter e-commerce decisions.

安全使用建议
This skill appears to do what it says (build ad strategies using public web data), but the SKILL.md suggests running an npx install for 'nexscope-ai/eCommerce-Skills' while the registry provides no install package or homepage. Before installing or running that npx command: 1) Verify the npm package name and publisher on the npm registry (or GitHub) and confirm it's from the company you expect. 2) Inspect the package contents (source code) for unexpected network calls, credential collection, or scripts that run on install. 3) Do not run the npx command blindly — npx executes remote code. 4) If you only want the instruction-only skill, you can use the SKILL.md content without running external installers. If the publisher/contact is unclear, ask the publisher to provide a verified distribution or a homepage. If you need higher assurance, avoid installing the external package or run it in an isolated environment (VM) after inspection.
能力评估
Purpose & Capability
The name, description, and runtime instructions (keyword research, competitor analysis, audience insights, campaign architecture) are consistent with an e-commerce advertising planner. However, SKILL.md claims to be built by 'Nexscope' and provides an npx install command for 'nexscope-ai/eCommerce-Skills' while the registry shows a different owner ID and no homepage; this publisher/install mismatch is unexpected and should be verified.
Instruction Scope
Instructions stay within the advertised scope: they instruct the agent to parse product/business details and to use web_search and web_fetch to gather public web data (Amazon pages, Facebook Ads Library, competitor sites, Reddit, etc.). There are no instructions to read local files, request credentials, or access unrelated system state.
Install Mechanism
The registry contains no install spec and the skill is instruction-only, but SKILL.md includes a recommended npx install (npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-advertising -g). That command would download and execute external npm code from an external namespace not present in the registry metadata. Because the registry doesn't provide an install artifact or verified source, running the suggested npx command could introduce arbitrary third-party code — verify the package, its publisher, and contents before running.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The instructions explicitly say 'No API key required.' The data access the skill requests (public web pages) aligns with its stated functionality.
Persistence & Privilege
The skill does not request 'always: true' and uses default autonomous invocation settings. It does not ask to modify other skills or system-wide settings. Autonomous invocation is normal for skills.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ecommerce-advertising
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ecommerce-advertising 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release of full-funnel e-commerce advertising planner. - Plan cross-channel ad campaigns for Amazon, Google, Meta, TikTok, Pinterest. - Includes keyword research, competitor ad analysis, audience insights, and campaign structure templates. - Guides on budget allocation, KPI targets, and platform selection for various e-commerce models. - Generates channel-specific ad copy ideas and creative direction. - Supports Amazon, Shopify, Walmart, eBay, TikTok Shop, WooCommerce, and standalone DTC brands. - No API key required.
元数据
Slug ecommerce-advertising
版本 0.1.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Ecommerce Advertising 是什么?

Full-funnel e-commerce advertising planner for cross-channel campaigns. Covers keyword research, competitor ad analysis, audience insights, campaign architec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 194 次。

如何安装 Ecommerce Advertising?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ecommerce-advertising」即可一键安装,无需额外配置。

Ecommerce Advertising 是免费的吗?

是的,Ecommerce Advertising 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ecommerce Advertising 支持哪些平台?

Ecommerce Advertising 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ecommerce Advertising?

由 Henk Nie(@phheng)开发并维护,当前版本 v0.1.0。

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