Organized into three categories—Keyword‑Driven, Product‑Driven, and Category‑Driven—these models come with suggested filters for reference. Please adjust the exact thresholds to fit your own situation.
1. Keyword‑Driven Big‑Data Sourcing
Every Amazon search reveals real buyer demand. Keyword‑Driven sourcing uses those searches to uncover emerging niches and then find products to meet that demand.
1. Trend‑Based Sourcing
Focus less on saturated head‑keywords and more on surging trends. Weekly rank movements capture real‑time shifts in interest.
Filter: In any category, select keywords whose rank improvement over the past 4 weeks > 10,000 and rank growth rate > 10%.
2. Demand‑Based Sourcing
Keywords ranking in the Top 10,000 represent the highest‑demand niches. These have large traffic but stiff competition—best for well‑capitalized sellers.
Filter: In a category, limit max keyword rank to 10,000; results sort ascending by rank.
3. Potential‑Based Sourcing
Keywords with solid ranks that are growing—but not yet head keywords—indicate mid‑tier niches with room for newcomers.
Filter: Rank between 20,000–100,000 and 1‑week rank growth > 20%.
4. Surge‑Based Sourcing
Keywords whose rank jumps sharply signal urgent, often seasonal or nascent opportunities. Use Trends or Google Trends to confirm.
Filter: In a category, 1‑week rank growth > 50%.
5. Capacity‑Based Sourcing
Search volume reflects market demand size. Big sellers prefer markets with monthly searches >100,000. Smaller sellers may start with lower-volume markets.
Filter: Monthly volume > 100,000, month‑over‑month growth > 10% and optional criteria (e.g., price).
6. Competition‑Based Sourcing
'Click Concentration' measures how much of a keyword’s clicks go to its Top 3 ASINs—low concentration means less monopoly, easier entry.
Filter: Click Concentration < 50%, or sort keywords ascending by that metric.
7. Emerging Market-Based Sourcing
Find keywords that have volume this month but had none last year—pure new markets hungry for selection.
Filter: Monthly searches > 10,000, search growth > 10%, then tick 'New Sub-market Opportunities' to isolate truly new segments.
8. Seasonal/Holiday-Based Selection
Seasonal products turn quickly. Track seasonal keyword cycles to prepare listings in advance.
Filter: Choose category → select relevant month in ‘Market Cycle’.
9. Marketing Cost-Based Sourcing
'Traffic Cost' = PPC bid / average price. Lower percentages mean lower marketing cost and often less competition.
Filter: Sort segments ascending by 'Traffic Cost'.
10. Long‑Tail Sourcing
Long‑tail keywords (≥ 3 words) have lower volume but highly targeted traffic and often higher conversion. Ideal for smaller sellers.
Filter: Keywords ≥ 3 words in your chosen category.
2. Product‑Driven Big‑Data Sourcing
Analyze product-level metrics (sales growth, reviews, etc.) to identify opportunities.
1. Potential Product Discovery
Low current volume but showing growth momentum.
Filter: Monthly sales < 600, growth > 10%, launched in last 6 months (Preset: Potential).
2. Improve Existing Products
High sales but low rating = improvement opportunity.
Filter: Monthly sales > 1,000, rating < 3.7.
3. Cash Flow Flexibility
FBM products with decent sales = lower upfront cost.
Filter: Monthly sales > 1,000, fulfillment = FBM.
4. Resell High-Volume Products
Find high-sales products with ≥3 sellers—possible resell opportunities.
Filter: Monthly sales > 1,000, seller count > 3.
5. Low After-Sales Cost
High rating, low Q&A = easy to support, ideal products with low after‑sale costs.
Filter: Monthly sales > 1,000, BSR 5,000–10,000, rating > 4.0, Q&A < 5.
6. Top List Potential
On Amazon’s bestseller list with low reviews + recent launch = easier to enter.
Filter: Launched in last 3 months, review count < 50.
7. Storefront Product Monitoring
Track successful sellers’ new listings for inspiration.
Filter: Use New Listing Tracker to find promising new releases.
8. Brand New Launches
Monitor new brand products for white-labeling or differentiation.
Filter: Enter brand name and sort listings by 'Date First Available' descending.
9. Size/Shipping-Based
Small or standard sizes keep FBA fees low.
Filter: Monthly sales > 1,000, select by product size; large items only if you have logistics leverage.
10. Listing Quality-Based
High sales but low Listing Quality Score = easy to outperform.
Filter: Monthly sales > 1,000, LQS < 5.
11. Amazon-Owned Trends
Track new Amazon retail listings—leverage Amazon’s market insights.
Filter: Fulfillment = AMZ, launched in last 3 months.
12. High-Volume, Low-Risk
Cheap products with high volume—low risk for new sellers but need volume to win.
Filter: Monthly sales > 3,000, review count < 100, price < $10.
13. Vertical Expansion
Deep-dive into a familiar niche to build brand and product line—e.g. phone stands → phone stands with storage, floor stands, etc.
Filter: In 'Related Products', enter an ASIN and click 'CSI' (Compare with similar items).
14. Bundle Opportunities
Expand into complementary items (e.g., yoga mats → yoga blocks) using frequently bought together data.
Filter: In 'Related Products', enter an ASIN and click 'FBT' (frequently bought together).
3. Category‑Driven Big‑Data Sourcing
Each Amazon category is its own micro‑market. By comparing multiple markets’ metrics, find the niche that best matches your strengths.
1. Market Monopoly-Based Selection
Analyze product/brand/seller concentration to find distributed markets with lower entry barriers.
Filter: In 'Market Research', set max Product/Brand/Seller concentration to 80%, or sort ascending.
2. Market Volatility-Based Selection
A higher market volatility means faster product updates and more chances for new products to enter. But it can also mean the market is unstable—products may not last long if they don’t perform well. Categories like fashion often have lots of new listings, but short product lifecycles. By checking the number of new products in a subcategory, sellers can gauge how competitive or risky that market is.
Filter: In 'Market Research', sort by new product count (descending) to spot high-opportunity markets.
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