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Skillslinkfox-jiimore-niche-by-asin

linkfox-jiimore-niche-by-asin

Data & analytics

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Updated 10-16 00:00

About this skill

Jiimore Niche Competitor by ASIN

This skill guides you on how to query and filter Amazon competing products in the same niche segments as a reference ASIN, helping Amazon sellers discover potential competitors and evaluate opportunities using metrics such as click conversion rate, composite conversion rate, click volume, sales volume, reviews, price, FBA fees, and gross profit margin.

Core Concepts

Given a reference ASIN, the tool mines competing ASINs that share the same niche segments on Amazon and returns a paginated list with rich metrics: click conversion rate, composite conversion rate, click counts (7-day/30-day/90-day), sales volume, pricing, FBA fees, gross profit margin, customer rating, and 90-day trend data. Data is available for US, JP, and DE marketplaces only.

ASIN is required: Every query must include a reference asin. The tool finds products that share the same niche segments as this ASIN and returns them with detailed metrics.

Percentage fields: Several parameters use a 0-1 decimal range representing 0%-100%. When displaying these values to users, convert them to percentages (e.g., 0.15 -> 15%).

Date format: Launch date parameters use the format yyyyMMdd000000 (e.g., 20240101000000 for January 1, 2024).

Parameter Guide

Required

Parameter Type Description
asin string Reference ASIN to find competing products for (max 1000 chars)

Marketplace & Pagination

Parameter Type Default Description
countryCode string US Country code: US, JP, DE
page integer 1 Page number (starts from 1)
pageSize integer 50 Results per page (10-100)
sortField string purchasedClicksT360 Field to sort by (see Sorting Options below)
sortType string desc Sort direction: desc or asc

Filter Parameters (all optional, min/max ranges)

Price & FBA:

Parameter Type Description
priceMin / priceMax number Product price range
fbaFeeMin / fbaFeeMax number FBA commission range
grossProfitMarginMin / grossProfitMarginMax number Gross profit margin range

Reviews & Ratings:

Parameter Type Description
totalReviewsMin / totalReviewsMax integer Total review count range
customerRatingMin / customerRatingMax number Customer rating range (0.0-5.0)

Click Data (7-day):

Parameter Type Description
clickCountT7Min / clickCountT7Max integer Weekly click count range
clickCountGrowthT7Min / clickCountGrowthT7Max number Weekly click growth rate (0-1)
clickConversionRateMin / clickConversionRateMax number Click conversion rate (0-1)

Click Data (30-day):

Parameter Type Description
clickCountT30Min / clickCountT30Max integer Monthly click count range
clickCountGrowthT30Min / clickCountGrowthT30Max number Monthly click growth rate (0-1)

Composite Conversion:

Parameter Type Description
clickConversionRateCompositeMin / clickConversionRateCompositeMax number Composite click conversion rate (0-1)

Sales & Launch Date:

Parameter Type Description
salesVolumeT360Min / salesVolumeT360Max integer 360-day sales volume range
launchDateMin / launchDateMax string Launch date range (format: yyyyMMdd000000)

Niche & Seller:

Parameter Type Description
nicheCountMin / nicheCountMax integer Number of niches the product belongs to
sellerCountry string Seller country code(s), comma-separated (e.g., "CN,US")

Sorting Options

Value Meaning
purchasedClicksT360 360-day purchased clicks (default)
totalReviews Total reviews
price Price
launchDate Launch date
clickCountT30 30-day click count
clickCountT90 90-day click count
clickCountT7 7-day click count
clickConversionRate Click conversion rate
clickConversionRateComposite Composite click conversion rate
customerRating Customer rating
clickCountGrowthT7 Weekly click growth rate
clickCountGrowthT30 Monthly click growth rate
currentPrice Current price
fbaFee FBA commission
shippingFee FBA shipping fee
gpm Gross profit margin

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/jiimore_page_asins_by_asin.py directly to run queries.

Usage Examples

1. Basic competitor lookup by ASIN Find competing products for a reference ASIN in the US market:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "sortField": "purchasedClicksT360",
  "sortType": "desc"
}

2. High-conversion competitors Find competitors with composite conversion rate above 15%:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "clickConversionRateCompositeMin": 0.15,
  "sortField": "clickConversionRateComposite",
  "sortType": "desc"
}

3. New product opportunities Find recently launched competitors (within 3 months) with high click growth:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "launchDateMin": "20240101000000",
  "clickCountGrowthT7Min": 0.1,
  "sortField": "clickCountGrowthT7",
  "sortType": "desc"
}

4. Price-range filtered competitors Find competitors priced between $20 and $50 with good gross margins:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "priceMin": 20,
  "priceMax": 50,
  "grossProfitMarginMin": 0.3,
  "sortField": "gpm",
  "sortType": "desc"
}

5. High-click low-review competitors (potential weak spots) Find competitors with monthly clicks above 2000 but fewer than 100 reviews:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "clickCountT30Min": 2000,
  "totalReviewsMax": 100,
  "sortField": "clickCountT30",
  "sortType": "desc"
}

6. Japanese market competitor analysis Explore competitors in the Japanese market sorted by rating:

{
  "asin": "B0GC4RPX79",
  "countryCode": "JP",
  "sortField": "customerRating",
  "sortType": "desc"
}

7. Chinese sellers in the same niche Filter competitors by seller country (China) with high sales volume:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "sellerCountry": "CN",
  "salesVolumeT360Min": 1000,
  "sortField": "purchasedClicksT360",
  "sortType": "desc"
}

Display Rules

  1. Present data clearly: Show query results in well-structured tables. Convert decimal ratios to percentages for readability (e.g., 0.25 -> 25%).
  2. Highlight key metrics: Always surface the ASIN, product title, price, customer rating, click conversion rate (composite), click counts, total reviews, and gross profit margin as primary columns.
  3. Show niche context: When the niches field is present, display the top niche titles and demand scores to give context about which market segments the product competes in.
  4. Trends visualization: When trends data is available, summarize the 90-day trend direction (rising/falling/stable) for key metrics like clicks and pricing.
  5. Pagination guidance: When total exceeds the current page size, inform the user of the total count and suggest fetching additional pages if needed.
  6. Error handling: When a query fails, explain the reason based on the response message and suggest adjusting filter criteria (e.g., broadening ranges or checking the ASIN).
  7. No subjective advice: Present data objectively without adding unsolicited business recommendations. Only provide interpretation when explicitly requested by the user.

Important Limitations

  • Supported marketplaces: Only US, JP, and DE are available. Other marketplace codes will be rejected.
  • ASIN required: Every query must include a reference ASIN. The API will not return results without one.
  • Result cap: Maximum 100 results per page.
  • Percentage values: All rate/share parameters use 0-1 range, not 0-100. Ensure correct values when constructing filters.
  • Date format: Launch date parameters must use yyyyMMdd000000 format.

User Expression & Scenario Quick Reference

Applicable -- Finding competing products based on a reference ASIN:

User Says Scenario
"Find competitors for ASIN B0GC4RPX79" Direct competitor lookup
"What products compete with this ASIN" Same-niche competitor exploration
"Show me similar products in the same niche" Niche competitor discovery
"High-conversion competitors for my product" Conversion-based competitor filtering
"New products competing in my niche" New entrant identification
"Which Chinese sellers compete with this ASIN" Seller-origin based filtering
"Find low-review high-click products like mine" Opportunity gap analysis
"Competitor pricing analysis for ASIN XX" Price-focused competitor analysis

Not applicable -- Needs beyond ASIN-based same-niche competitor discovery:

  • Keyword-level niche market analysis (use Jiimore Niche Info by Keyword instead)
  • Individual ASIN revenue or profit estimation
  • ABA search term data / keyword research
  • Advertising campaign management or bid optimization
  • Product review analysis or listing optimization
  • Supplier sourcing or logistics planning

Boundary judgment: When users say "competitor analysis" or "similar products," if their intent focuses on finding products that compete in the same niche as a specific ASIN, this skill applies. If they want keyword-level market segment data, direct them to Jiimore Niche Info by Keyword. If they need detailed product data for a single ASIN, direct them to Amazon Product Detail.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

Handling Large Responses

To avoid overflowing the agent context, persist the response to disk and extract only the fields you need:

python scripts/response_io.py run --script scripts/jiimore_page_asins_by_asin.py --out-dir <DIR> '<params>'
python scripts/response_io.py read <file> --fields "<paths>"   # or --path "<JMESPath>"

Pick --out-dir outside any git working tree (e.g. /tmp/... on Unix, %TEMP%/... on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done.

run writes the full response to a file and emits only a schema preview + file path. read projects specific fields, with --limit/--offset for slicing and --format json|jsonl|csv|table for output.

When to prefer this pattern — apply your judgment based on the response characteristics, e.g.:

  • High field count per record, or fields you don't need
  • Batch/paginated results (multiple items per call)
  • Long-text fields (descriptions, reviews, HTML, time series)
  • Output reused across later steps rather than consumed immediately

For small, single-use responses, calling the main script directly is fine.

⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via read.

For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.