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ecommerce-advertising电子商务广告

Agent Skill

ecommerce-advertising 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ecommerce-advertising(电子商务广告)
来源仓库:https://github.com/phheng/ecommerce-advertising
安装命令:
openclaw skills install ecommerce-advertising
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ecommerce-advertising

简介

ecommerce-advertising 用于全渠道电子商务广告策划,支持关键词研究与竞争对手分析。

  • 适合在 OpenClaw 中需要快速定位广告策略相关资料时使用。
  • 通过 clawhub 安装后,可结合来源仓库核验具体用法。
  • 安装前需确认权限范围和维护状态,避免触发联网或文件操作。
  • 建议在使用前了解其覆盖平台与数据更新频率。

SKILL.md

name
ecommerce-advertising
description
Full-funnel e-commerce advertising planner for cross-channel campaigns. Covers keyword research, competitor ad analysis, audience insights, campaign architecture, budget allocation across channels (Amazon PPC, Google Ads, Meta Ads, TikTok Ads, Pinterest Ads), ad copy generation, and creative direction. Helps you build a complete multi-channel ad strategy from scratch. Works for Amazon, Shopify, Walmart, eBay, and multi-channel sellers. No API key required.
metadata
nexscope
emoji
📢
category
ecommerce

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"
CompetitionIndicatorsStrategy
Low<10K results, few adsBid aggressively
Medium10K-50K resultsBalanced bid
High50K+ resultsLong-tail focus

Bid Ranges by Platform:

PlatformLowMedHigh
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 TypePrimary ChannelSecondary
Search-drivenAmazon PPC / Google ShoppingMeta retargeting
Visual / lifestyleMeta AdsPinterest, Google
Demo-drivenTikTok AdsMeta, YouTube
Impulse (<$30)TikTok, MetaAmazon PPC
High-ticket (>$100)Google SearchMeta retargeting

Platform Benchmarks (2025-2026)

PlatformAvg ROASTop QuartileAvg CPC
Amazon PPC3.5x5x+$0.80-1.50
Google Shopping4.5x6x+$0.50-1.20
Meta Ads2.2x4-5x$0.70-1.50
TikTok Ads1.4x2.5x+$0.50-1.00

*Sources: Triple Whale 2025, Lebesgue 2026*

Budget Thresholds

BudgetStrategy
< $1,000ONE channel only
$1,000-3,000Primary (70%) + retargeting (30%)
$3,000-10,0002-3 channels
$10,000+Full cross-channel

Budget Allocation (70-20-10)

AllocationPurpose
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

MetricLaunchGrowthMature
Amazon ACoS35-50%25-35%15-25%
Google ROAS2-3x3-4x4-6x
Meta ROAS1.5-2x2-3x3-4x
TikTok ROAS1-1.5x1.5-2x2-3x

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.

适合场景

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