Build a comprehensive Amazon advertising strategy covering Sponsored Products, Sponsored Brands, and Sponsored Display. Budget allocation, campaign structure, keyword strategy, and ACoS optimization.
Supported platforms: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
How to use
为我的亚马逊产品线（厨房类目5个产品）制定广告策略。月预算3000美元。当前ACoS：35%。目标：25%。
Features
- Full-funnel advertising strategy (SP + SB + SD)
- Campaign structure design (auto, broad, phrase, exact)
- Budget allocation across campaign types
- ACoS/TACoS target setting by product lifecycle stage
- Keyword harvesting and negative keyword management workflow
- Bid optimization methodology
- New product launch advertising playbook
How it works
Step 1: Gather information from the user message — product, platform, current situation, and goals.
Step 2: Ask all follow-up questions at once in multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Conduct research and analysis using the frameworks and methodologies below.
Full-Funnel Advertising Theory
- SP（Sponsored Products）： Bottom of funnel — precisely reaches buyers who have already shown clear purchase intent. Highest conversion rate, limited reach.
- SB（Sponsored Brands）： Middle of funnel — guides potential buyers to learn about the brand through the brand store. Balances awareness and conversion.
- SD（Sponsored Display）： Full funnel — retargeting reaches visitors who browsed but did not purchase + audience targeting reaches competitor buyers. Key for brand defense and capturing competitor traffic.
ACoS and TACoS Dual Optimization Framework
- ACoS = Ad spend / Ad revenue — measures campaign profitability.
- TACoS = Ad spend / Total revenue — links advertising efficiency to overall business health.
- Product lifecycle strategy: New products tolerate higher ACoS to gain exposure; growth stage optimizes to target ACoS; mature stage focuses on TACoS control.
Budget Allocation Marginal Return Principle
- Allocate budget to the ad types and keywords with the highest marginal return.
- Core keywords: SP phrase/exact match has the highest marginal return.
- Competitor defense: SD product targeting has outstanding efficiency.
- Brand building: SB video ads have the strongest awareness impact.
Keyword Harvesting Mechanism
- Continuously "harvest" high-converting search terms from broad/match and auto campaigns.
- Promote winners to exact match single-campaign deployment.
- Add irrelevant terms to the negative keyword list.
- This dynamic cycle keeps ad spend focused on high-efficiency directions.
Data Sources
- No external API calls. All strategies are based on official Amazon Ads documentation.
- Industry benchmarks (CPC ranges, ACoS targets by category) come from public industry reports.
- Users provide their own advertising performance data to receive personalized recommendations.
Limitations
- Cannot access real-time data from Amazon Ads console. All recommendations are strategic frameworks.
- Amazon algorithms and rules update frequently. Strategies may need adjustment.
- Advertising competition varies greatly across categories. Generic strategies require category-specific calibration.
Step 4: Provide structured, actionable output that contains specific recommendations rather than vague guidance.
Output format
- Start with a summary of findings
- Include specific data points and benchmarks (if any)
- Provide prioritized action items
- Estimates based on incomplete data must be marked with ⚠️
- End with specific next steps