Your first search
This page walks you from an empty Product Research page to a list of ranked products with real SellerScores in front of you.
In this guide:
- Pick a marketplace
- Enter a keyword
- Optionally filter by price and margin
- Run the search
- See the result
Prerequisites
- Product Research is enabled on your account.
- At least 1 credit on your balance.
- At least one marketplace ticked under Settings → Amazon Accounts.
Step 1: Pick a marketplace
The top of the search panel has a marketplace dropdown. Pick the Amazon region you want to search. (If you sell in only one region, this is auto-set.)
Step 2: Enter a keyword
You must enter a keyword — a noun phrase describing what you’re looking for (e.g., “bamboo socks”, “reusable coffee filter”, “yoga mat strap”). The search treats the keyword as the niche.
Step 3: Optional filters
A few filters worth setting on a first search:
- Price band — sets a min/max sell price. Most beginners narrow to $15–$50.
- Margin floor — a minimum net margin %. Set 25–30% if you want only profitable candidates.
More detailed filtering (custom weights, etc.) is covered in Filters & weights.
Step 4: Run the search
Click Search.
The search costs 1 credit. You’ll see a progress indicator while:
- Hilal queries the Amazon catalog.
- Hilal pulls fees and pricing per product.
- Hilal computes the SellerScore (six sub-scores in parallel).
- Hilal ranks the results.
Total time: 10–30 seconds for a first-time search.
Step 5: See the result
You land on a results page with up to 10 products, ranked by SellerScore (highest first).
Each row shows:
- Product image, title, brand.
- Sell price.
- SellerScore (the headline 0–100).
- The six sub-scores as a small chip row.
Click a row to open the product detail page for full analysis and to add to watchlist. If you want more candidates without opening detail, expand the search (2 more credits, 50+ results).
Troubleshooting
- “No results returned.” Your filters were too tight. Loosen the price band or remove the margin floor and try again. → Search returned no results
- “Insufficient credits.” Top up. → Insufficient credits
- Data-quality warnings. Some sub-scores fell back. The SellerScore is still computed but trust it less. → Data quality
What’s next
Read a result row and understand the SellerScore.