Amazon Brand Analytics

Amazon brand analytics and market opportunity mining agent. Analyze brand-level data, identify market opportunities, track brand performance trends, and make...

Security Scan

This is an instruction-only skill that asks the user to paste Amazon Brand Analytics exports for analysis; its requirements and instructions are consistent with that stated purpose.

Purpose & Capability

The name/description match the SKILL.md: the skill analyzes Brand Analytics reports, search queries, repeat purchase and market-basket data. It does not request unrelated credentials, binaries, or config paths, which is proportionate for an agent that asks users to paste exported data.

Instruction Scope

The instructions stay on-topic: they ask the user to paste exported Brand Analytics, search query, repeat-purchase or market-basket data and describe analysis steps. One minor oddity: metadata lists allowed-tools: Bash, but the runtime instructions do not require running shell commands; granting Bash access is unnecessary for the documented workflows and slightly expands what the agent could do when invoked.

Install Mechanism

No install spec and no code files (instruction-only). Nothing is written to disk or downloaded during installation, which is the lowest-risk pattern for this purpose.

Credentials

The skill declares no required environment variables, no primary credential, and no config paths. That aligns with the documented approach of having the user paste exported reports rather than granting the skill direct AWS/Amazon credentials.

Persistence & Privilege

always is false and there is no install activity that would request persistent presence or modify other skills/config. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges.

Assessment

This skill is an instruction-only analyzer that asks you to paste exported Amazon Brand Analytics reports; it does not ask for credentials or install software. Before using: (1) avoid pasting any sensitive credentials or personally identifiable data into the chat, (2) verify the publisher/repo link if you want provenance (the metadata points to a GitHub URL), and (3) consider removing or refusing Bash/shell permissions if your platform lets you restrict the skill's tool access, since the analysis does not require running shell commands.

Mine Amazon's brand analytics data for market opportunities, competitor intelligence, and product selection signals. Turn search query data, purchase patterns, and demographic insights into strategic decisions.

Commands

brand analyze <brand>             # full brand performance analysis
brand opportunity <category>      # identify market opportunities in category
brand search-queries <data>       # analyze search query performance report
brand repeat-purchase <data>      # analyze customer loyalty metrics
brand market-basket <asin>        # find what customers buy together
brand demographics <data>         # analyze buyer demographics
brand compare <brand1> <brand2>   # head-to-head brand comparison
brand trends <category>           # identify trending brands/products
brand whitespace <market>         # find unserved market segments
brand report <brand>              # comprehensive brand intelligence report

What Data to Provide

• Brand Analytics report data — paste exported data from Brand Analytics dashboard
• Search Query Performance — top queries, click share, conversion share
• Repeat Purchase data — repurchase rates by ASIN
• Market Basket data — what customers also buy
• Competitor brand names — for competitive brand analysis
• Category context — which category to analyze

Brand Analytics Framework

Search Query Performance Analysis

Amazon Brand Analytics shows top search terms that lead to your brand's page views.

Key metrics:

Metric              What it means               Benchmark
Search Query Volume Top searches in category     Track changes monthly
Click Share         Your clicks / total clicks   Target >5% on key terms
Conversion Share    Your conversions / total      Should exceed click share

Click Share vs Conversion Share analysis:

• Click Share > Conversion Share → listing or pricing issue (traffic not converting)
• Conversion Share > Click Share → strong listing, expand visibility
• Both low → ranking issue, invest in ads or SEO to appear more

Opportunity identification:

• High volume terms where your brand has 0% click share → keyword target
• Terms where competitor has >30% click share → competitive threat
• Terms with high search volume but low competition → blue ocean

Market Opportunity Mining

Use search query data to find opportunities:

Step 1: Find terms with high search volume (top 1000 in category)
Step 2: Check which brands dominate each term (click share)
Step 3: Identify terms with fragmented click share (<10% for any brand)
Step 4: Cross-reference with your product ability to serve that need
Step 5: Score opportunity: Volume × (1 - Max click share) = Opportunity Score

Blue Ocean Criteria:

• Top brand has <15% click share
• Search volume rank in top 500
• Your product can serve the need
• Estimated conversion opportunity exists

Repeat Purchase Rate Analysis

Brand loyalty signals by product type:

Product Type           Expected Repeat Rate    Your Target
Consumables (30-day):  30-50%                  >40%
Consumables (90-day):  20-40%                  >30%
Durable goods:         5-15%                   >10%
Seasonal items:        15-25%                  >20%

Low repeat purchase rate causes:

1. Product quality disappointment
2. Better alternative found (competitor won)
3. Category not naturally repurchasable
4. Customer service issue
5. Pricing increased after first purchase

High repeat purchase signals:

• Strong product-market fit
• Subscription candidate
• Invest in Subscribe & Save

Market Basket Intelligence

What customers buy with your product reveals:

• Bundle opportunities — sell complementary products together
• Competitive threats — if customers buy your product WITH a competitor's, they may switch
• Category adjacency — expand product line to items customers already buy

Bundle strategy from market basket:

If your item frequently bought with Item X:
→ Create bundle of Your Item + Item X (15-20% discount vs. buying separately)
→ Use Item X keywords in your backend search terms
→ Target buyers of Item X with Sponsored Products

Demographic Analysis

Amazon Brand Analytics shows buyer demographics (age, income, education, gender):

Using demographic data:

If buyers skew 45-64 female, high income:
→ Adjust imagery to show aspirational, quality-focused lifestyle
→ Price premium positioning viable
→ Focus on quality and trustworthiness in copy
→ Facebook/Pinterest ads may supplement Amazon ads

If buyers skew 25-34 male, medium income:
→ Feature-focused copy and specs
→ Value proposition important
→ Reddit and YouTube integration

Competitor Brand Intelligence

For a competitor brand, estimate using Brand Analytics signals:

Proxy metrics:

• Search terms they dominate (high click share) = their strength
• Terms they don't appear on = their weakness / your opportunity
• Categories where they appear = their product range
• Review volume growth rate = their investment level

Brand Performance Trending

Track monthly to identify patterns:

Month | Click Share (main kw) | Conversion Share | Top New Keywords
Jan   | 8.2%                  | 10.1%            | [term A, term B]
Feb   | 9.1%                  | 11.3%            | [term C]
Mar   | 7.8%                  | 9.2%             | [none]
Apr   | 6.2%                  | 7.8%             | [none]

Trend: Declining → investigate competitor gains or listing issues

Whitespace Identification

Finding underserved market segments:

Segment example: "organic dog treats for senior dogs"
Step 1: Search volume meaningful (>1,000/month estimate)
Step 2: Existing results: generic dog treats not optimized for seniors
Step 3: Conversion data: broad terms converting but specific terms underserved
Step 4: Product feasibility: can create differentiated product
Result: WHITESPACE OPPORTUNITY

Workspace

Creates ~/brand-analytics/ containing:

• search-queries/ — monthly search query performance snapshots
• opportunities/ — identified market opportunities
• competitors/ — competitor brand profiles
• demographics/ — buyer profile reports
• reports/ — full brand intelligence reports

Output Format

Every brand analysis outputs:

1. Search Query Performance Summary — top 10 opportunity terms with click/conversion gap
2. Market Opportunity Ranking — top 5 whitespace opportunities with scoring
3. Competitive Threat Map — which brands are gaining in your key terms
4. Customer Loyalty Metrics — repeat purchase rate vs. benchmark
5. Bundle Opportunities — top 3 market-basket-driven bundle ideas
6. Demographic Profile — buyer profile summary with marketing implications
7. Monthly Action Plan — 5 prioritized brand growth actions