Amazon Brand Analytics

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name: amazon-brand-analytics description: "Amazon brand analytics and market opportunity mining agent. Analyze brand-level data, identify market opportunities, track brand performance trends, and make data-driven decisions for product selection, operations, and advertising. Triggers: amazon brand analytics, brand analysis, market opportunity, brand performance, amazon trends, brand registry analytics, search query performance, repeat purchase, market basket, demographics analytics, brand intelligence" allowed-tools: Bash metadata: openclaw: homepage: https://github.com/mguozhen/amazon-brand-analytics

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Amazon Brand Analytics

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