Keepa Product Finder: Every Filter Explained (2026 Guide)

Updated April 2026

Keepa’s Product Finder is the most powerful product research tool available for Amazon sellers, but with 120 individual filters spread across 800+ input fields, it can feel overwhelming the first time you open it.

This guide is the most complete Keepa Product Finder filters list available, with every filter explained in detail. It follows the same order as the actual Keepa Product Finder interface, section by section, filter by filter. You can open Keepa alongside this article and follow along as a reference guide. Whether you’re doing online arbitrage, wholesale sourcing, or just trying to understand what all those filters mean, this is the only full reference guide to every Keepa Product Finder filter on the internet. Even Keepa themselves don’t provide detailed Keepa Product Finder documentation for their filters, so this guide fills that gap.

Whether this is your first time learning how to use Keepa Product Finder or you want to fine-tune your settings, this guide has all 120 filters explained step by step.

Bookmark this page so you can come back to it any time (Ctrl+D on Windows, Cmd+D on Mac). With 120 filters to learn, you’ll want this as a reference you can pull up alongside Keepa whenever you’re setting up a new search.

Everything here is verified against the live Keepa interface for Amazon UK as of April 2026.

What Is Keepa Product Finder?

Keepa Product Finder is a tool inside Keepa that lets you search and filter Amazon’s entire product catalogue using dozens of criteria such as price, sales rank, seller counts, Buy Box data, product dimensions, and much more. Think of it as Amazon’s own search bar on steroids.

It’s different from the Keepa browser extension (which shows price history charts on individual product pages). Keepa Product Finder is a standalone tool on keepa.com that requires a paid Keepa subscription to access.

You’ll find it under Keepa → Pro → Product Finder on the Keepa website, or by going directly to it here.

Don’t forget, before you buy anything, make sure you are ungated on that brand. If you’re not, use my ungating guide to help you get ungated.

How Keepa Product Finder Interface Works

Before diving into individual filters, here’s how the interface is laid out and how the filtering logic works. Understanding this saves a lot of confusion later.

Interface Layout

The Keepa Product Finder page shows an “About” section at the top with key information, followed by seven collapsible filter sections:

1. Sales Rank & Price Types (the largest section, with 21 price/rank filter rows)
2. Title, Category & Attributes (text and dropdown filters for product metadata)
3. Offer Counts (how many sellers are offering the product)
4. Buy Box (who holds the Buy Box and how it behaves)
5. Buy Box Used (same but for the Used Buy Box)
6. Seller IDs (filter by or exclude specific sellers)
7. Refine your search even more! (everything else: reviews, dimensions, weight, OOS%, dates, deals, and more)

At the bottom of the page you’ll see the blue “FIND PRODUCTS” button, plus a “SHOW API QUERY” link if you want to see the raw API call Keepa makes.

Results Limit

Each search returns up to 10,000 products. If your filters are too broad and match more than 10,000 products, Keepa will return a subset. The solution is to split your query into smaller, more targeted searches. For example, search one category at a time instead of “All”.

Filter Logic

Different filter types combine using different logic:

• Between sections: Filters use AND logic. If you set a Sales Rank range AND a Review Count range, products must match both.
• Multi-entry fields (like Brand or Manufacturer): These default to OR. Entering “Nike” and “Adidas” in the Brand field returns products from either brand.
• You can switch multi-entry fields to “Is X of” mode for exact matching.
• Multi-entry fields support up to 50 entries.
• For bulk importing values, separate them with ### (three hash symbols). Example Lego###Playmobil###Marvel

Saving Filters & Bookmarking

Your full query is stored in the page URL. This means you can bookmark a configured search to reload it later, or share it with someone else. If you leave Keepa Product Finder and come back without a saved URL, your last filters will still be there. To reset everything, click “Clear entire form”.

How Sub-Fields Work (Read This First)

Most filters in Sections 1 (Sales Rank & Price Types) share the same structure. Rather than repeating this for every filter, here’s how the sub-fields work:

• Current: The value right now. For Buy Box Price, this is today’s price.
• 30 / 90 / 180 / 365 days avg: The average value over that time period. The 90-day average is generally the most useful for smoothing out short-term spikes.
• 1 day / 7 days / 30 days / 90 days drop %: The percentage change over that period. A negative value means the number has decreased. For example, a -20% in the “30 days drop %” on Buy Box Price means the price has dropped 20% in the last month. A positive value means it has increased.
• Checkboxes vary by filter but commonly include:
  • Out of stock (for price filters, this means there’s currently no offer of this type, not necessarily that the product itself is out of stock)
  • Lowest ever (the current value is the lowest it has ever been)
  • Lowest 90 days (the current value is the lowest in the last 90 days)

Every sub-field has a From and To input, letting you define a range. Leave either blank for an open-ended range (e.g., From: 10, To: blank = “10 or more”).

With that understood, here’s every filter.

Section 1: Sales Rank & Price Filters

This is the largest section in Keepa Product Finder. It contains 21 filter rows for different price types, the sales rank, and historical sales rank. Most rows share the same structure described above: current value, four averages (30/90/180/365 days), four drop % fields (1/7/30/90 days), and checkbox options.

The section heading in Keepa reads “Sales Rank & Price Types” with the instruction: “Define your desired sales rank and/or price ranges. You can define as many ranges as you like to refine the results.”

Sales Rank

The Amazon Best Sellers Rank (BSR) indicates how well a product sells relative to others in its category. A lower number means higher sales. Rank #1 is the best seller; rank 500,000 means it barely sells.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: “No Sales Rank” (includes products without any sales rank data, typically brand-new listings or products in categories that don’t have BSR), “Lowest ever”, “Lowest 90 days”

When to use it: Use the sales rank filter every time. Sales Rank is the single most important indicator of whether a product actually sells. Most FBA sellers set a maximum BSR to avoid slow-moving stock. The 90-day average is more reliable than the current value because BSR fluctuates constantly throughout the day.

When it comes to putting in the sales rank, I use SellerAmps BSR table for each category. I typically use the figure for the top 1% BSR.

Historical Sales Rank

A separate filter row that lets you filter by the average Sales Rank during a specific month, going back up to 36 months. It has a month dropdown (e.g., “Mar 2026”) and an Avg From/To field.

When to use it: Seasonal product research. Check December BSR for toys to find products that sell well at Christmas, or look at summer months for garden products. This is the only way to filter by historical performance in a specific month rather than a rolling average.

Buy Box Price

The price of the current New Buy Box offer, the price a customer sees when they click “Add to Basket”. Shown in the interface as “Buy Box £” with a pink colour indicator. This is specifically the New condition Buy Box, not the Used Buy Box (which has its own separate filter row).

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Important: The “Out of stock” checkbox here does NOT mean the product is out of stock. It means there is no Buy Box winner. Amazon hasn’t awarded the Buy Box to any seller. This happens when all offers are too expensive, when sellers have poor metrics, or when Amazon temporarily suppresses the Buy Box. This is a common misconception that trips people up when using the buy box price filter.

When to use it: Set a minimum to avoid low-value products that aren’t worth the FBA fees, and a maximum based on your sourcing budget. The drop % fields are useful for finding products whose prices are falling (potential clearance opportunities) or rising (growing demand).

I typically set a minimum of around £8–£10, although it depends on the category. There are some items where even if you got them for free you would not be able to make any money given the FBA fees.

Amazon Price

The price when Amazon itself is the seller, sold and fulfilled by Amazon. Shown as “Amazon £” with an orange colour indicator.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Gaps in Keepa’s price graph for this filter represent periods when Amazon was not selling the product. The “Out of stock” checkbox here specifically means Amazon’s own offer is not available. Other sellers may still be offering it.

When to use it: Checking “Out of stock” on this filter is one of the most popular wholesale strategies. It finds products where Amazon has stopped selling, leaving the Buy Box open for third-party sellers. Combine this with the OOS % filter (in the Refine section) for even more precision.

It’s worth noting that this only shows products where Amazon is out of stock right now, or was out of stock when Keepa last updated the data. That means you can sometimes catch a temporary stockout rather than a consistent pattern, so pair it with the 90 Days Out of Stock Percentage (OOS %) and Amazon OOS Count filters for a more reliable view.

New Price

The lowest New price from any seller, Amazon or third party. Shown as “New £” with a blue-purple colour indicator.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Note: For data starting from 23 February 2026 onwards, this price includes shipping costs. Older data excludes shipping. This matters if you’re looking at long-term averages.

When to use it: Set a minimum New price to filter out low-value items that aren’t profitable after FBA fees. This is different from Buy Box Price. The New Price is the lowest available new offer, which might not be the Buy Box winner.

New, 3rd Party FBA Price

The lowest New price specifically from a third-party seller using Fulfillment by Amazon (FBA). Shown as “New, 3rd Party FBA £” with a deep orange colour indicator.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: If you’re an FBA seller, this is your direct competition. The difference between this price and the Buy Box Price tells you how competitive the FBA seller landscape is. If the lowest FBA offer is significantly higher than the Buy Box Price, the Buy Box might be held by Amazon or an FBM seller.

New, 3rd Party FBM Price

The lowest New price from a third-party seller using Fulfillment by Merchant (FBM). Shown as “New, 3rd Party FBM £” with a blue colour indicator.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: Less relevant for FBA sellers, but useful if you’re comparing FBA vs FBM pricing or if you want to see the full competitive landscape.

New, Prime Exclusive Price

The lowest New price from a Prime Exclusive offer, either Amazon or a third-party seller. Shown as “New, Prime Exclusive £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: This Prime filter option shows deals are only available to Prime members. This filter is niche but useful if you want to identify Prime exclusive offers and compare their pricing.

Lightning Deals Price

The price during Lightning Deals, short-term, limited-availability discounts that Amazon runs.

Sub-fields: Current (From/To) only. No averages and no drop percentages for this one.

Checkboxes: Lowest ever, Lowest 90 days (no “Out of stock” checkbox)

When to use it: Rarely used in sourcing filters. Mainly useful if you want to find products that are on Lightning Deals.

Buy Box Used Price

The price of the Used Buy Box offer. Shown in the interface as “Buy Box Used £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: Only relevant if you sell used products. This tracks who wins the Used Buy Box and at what price.

Used Price

The lowest Used price from any seller (Amazon Warehouse or third party). Shown as “Used £”. Includes shipping from 23 Feb 2026.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: If you sell used products, this is the broadest Used price filter. It captures the lowest price across all Used conditions and sellers.

Used, Like New Price

The lowest Used price in Like New condition. Shown as “Used, like new £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Used, Very Good Price

The lowest Used price in Very Good condition. Shown as “Used, very good £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Used, Good Price

The lowest Used price in Good condition. Shown as “Used, good £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Used, Acceptable Price

The lowest Used price in Acceptable condition. Shown as “Used, acceptable £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use the Used condition filters: Most new FBA sellers can skip these entirely. They’re relevant if you sell used or refurbished products, or if you want to check whether specific condition tiers are priced competitively on a listing.

Warehouse Deals Price

Amazon Warehouse Deals price, Amazon’s platform for discounted returned, refurbished, or open-box items. Shown as “Warehouse Deals £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use it: Worth checking if you want to know whether Amazon Warehouse is competing on a listing. Warehouse Deals can suppress the Buy Box for new offers on some products.

Refurbished Price

The lowest Refurbished price. Shown as “Refurbished £”. Includes shipping from 23 Feb 2026.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

Collectible Price

The lowest Collectible price. Shown as “Collectible £”. Includes shipping from 23 Feb 2026.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

List Price (RRP)

The suggested retail price as provided by the manufacturer, supplier, or seller. This is what Amazon shows as the “Was” price when a product is discounted. Shown as “List Price £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Lowest ever, Lowest 90 days

When to use it: Useful for spotting discounted products. Compare the List Price to the actual selling price to find items being sold well below RRP. A large gap between list price and Buy Box price can indicate clearance or liquidation.

eBay New Price

The eBay Fixed Price for New condition. Shown as “eBay New £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

eBay Used Price

The eBay Fixed Price for Used condition. Shown as “eBay Used £”.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Checkboxes: Out of stock, Lowest ever, Lowest 90 days

When to use the eBay filters: Interesting for cross-platform price comparison (finding products that sell for more on eBay than on Amazon, or vice versa), but most Amazon-focused sellers won’t use them in regular Keepa Product Finder searches.

Section 2: Title, Category & Attribute Filters

This Keepa Produt Finder section contains text-based and dropdown filters for product metadata. It’s where you narrow your search by what products are, rather than how they’re priced.

Root Category

The top-level Amazon category a product is listed in (e.g., “Home & Kitchen”, “Toys & Games”, “Health & Personal Care”).

Input type: Autocomplete dropdown.

When to use it: Almost always. Searching without a category selected means searching Amazon’s entire catalogue, which will hit the 10,000 result limit and return a random subset. Always start with a category to get meaningful results. You can run the same search across multiple categories to compare.

Subcategories (Include / Exclude)

Two separate fields let you include or exclude specific subcategories within your chosen root category.

Input type: Autocomplete dropdown. The Include field restricts results to products directly listed in those subcategories. The Exclude field removes products in those subcategories from results.

When to use it: Useful when you want to focus on a specific niche within a broad category, or when a subcategory consistently returns irrelevant products (e.g., excluding “Books” from “Toys & Games” to avoid colouring books).

Title (Keyword Search)

Filter products by keywords in the product title. This is a powerful text-based filter with its own search syntax.

Input type: Text field.

Search syntax:

• Digital Camera Canon = title must contain ALL three keywords (in any order)
• "Digital Camera" Canon = title must contain “Digital Camera” as an exact phrase AND the word “Canon”
• -digital camera = title must NOT contain “digital” and MUST contain “camera” (prefix a keyword with minus to exclude it)

The search is case-insensitive and supports up to 50 keywords. Partial keyword matches are not supported; the full word must appear in the title.

When to use it: For niche sourcing strategies. Search for keywords like “discontinued”, “bundle”, “limited edition”, or “exclusive” to find specific product types. Use negative keywords to filter out irrelevant results (e.g., -case -cover when searching for phones).

Manufacturer

Filter by the manufacturer name. Often the same as Brand, but not always. For example, a product might have “Brand: Nespresso” but “Manufacturer: Nestlé”.

Input type: Autocomplete. Supports multiple entries with OR logic. Use the ### separator for bulk importing.

When to use it: When the brand name and manufacturer differ and you need to search by the parent company. Most sellers use the Brand field instead.

Brand

Filter by product brand name.

Input type: Autocomplete. Supports multiple brands; enter them one at a time and the field combines them with OR logic. Use the ### separator for bulk importing brand lists.

When to use it: Wholesale sellers use this heavily. Paste in a brand list from a supplier to instantly find all their products on Amazon. Online arbitrage sellers might use it to focus on brands they know sell well, or exclude brands that are gated or restricted.

Other Attribute Filters

The Keepa Product Finder includes autocomplete fields for a wide range of product attributes. Most FBA sellers won’t touch these, but they’re available for very specific searches:

Filter	What It Does	When You’d Use It
Sales Rank Display Group	The BSR group a product’s rank is calculated against	Advanced BSR analysis
Website Display Group Name	How Amazon groups product variations for BSR purposes	Understanding variation rank behaviour
Website Display Group Identifier	A numeric ID for the website display group	Advanced technical filtering
Type	Amazon’s internal product categorisation (e.g., “CAMERA_DIGITAL”)	Very granular category filtering
Brand Store Name	The name of the brand’s Amazon store	Finding products from specific brand stores
Brand Store URL Name	The URL-friendly name of the brand’s Amazon store	Finding products from specific brand stores
Model	Product model name or number	Finding specific models
Color	Product colour	Filtering by colour variant
Size	Product size	Filtering by size variant
Unit Details Unit Type	The unit of measurement (e.g., litres, pieces)	Consumable products, multi-packs
Scent	Product scent (e.g., Lavender)	Health & Beauty, candles
Item Form	Physical form (e.g., Liquid, Solid, Gel)	Health & Beauty, supplements
Pattern	Design pattern (e.g., Striped, Floral)	Clothing, home décor
Style	Product style (e.g., Modern, Vintage)	Furniture, clothing
Material	Product material (e.g., Cotton, Soy Wax)	Material-specific sourcing
Item Type	Descriptive category keyword (e.g., “body-lotions”)	Very specific niche filtering
Target Audience	Target demographic (e.g., Women, Men, Unisex Adult)	Demographic targeting
Edition	Product edition (e.g., “first edition”)	Books, collectibles
Format	Product format (e.g., CD-ROM)	Media products
Author	Author name	Books
Binding	Binding type (e.g., Paperback)	Books
Languages	Product language	Books, media
Part Number	Manufacturer part number (exact match)	Industrial, electronics

All of these are autocomplete fields. The most useful for general FBA sellers are Color, Size, and Material, particularly if you’re sourcing in categories like clothing or home goods where these attributes matter for listing quality.

Section 3: Offer Count Filters

These Keepa Product Finder filters let you control how many sellers are offering a product. They’re essential for gauging competition. Total Offer Count is a simple From/To range. All other offer count filters share a more detailed structure: Current value, 30/90/180/365 days averages, and 1/7/30/90 days drop percentages, each with From/To ranges.

Total Offer Count

The total number of offers across all conditions (New, Used, Refurbished, Collectible).

Sub-fields: From/To only.

When to use it: A rough competition gauge. Very high total offer counts (50+) usually mean heavy competition. Very low counts (1-2) could mean limited supply or a restricted listing.

New Offer Count

The new offer count filter shows the number of marketplace sellers offering the product as New.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

When to use it: This is one of the most important competition indicators. Setting a maximum here (e.g., From: 1, To: 15) ensures you’re only looking at products without excessive seller competition. Comparing the current value to the 90-day average tells you if sellers are joining or leaving the listing. A rising trend means increasing competition.

This filter is sometimes referred to as the ‘new seller count filter’, since it effectively tells you how many sellers are competing on a listing with new inventory. If you’re looking for the new seller count in Keepa Product Finder, this is where you’ll find it.

New FBA Offer Count

The new FBA offer count filter shows the number of FBA sellers offering the product as New. This includes Amazon’s own offer if they’re selling it.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

When to use it: If you’re an FBA seller, this is your most relevant competition metric, more important than the total offer count. A product with 20 total sellers but only 2 FBA sellers is very different from one with 20 FBA sellers. Keep this number low for the best Buy Box rotation.

New FBM Offer Count

The number of FBM (Fulfilled by Merchant) sellers offering the product as New.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

When to use it: Less important for FBA sellers since FBM sellers rarely win the Buy Box against FBA sellers at the same price. Useful if you’re trying to understand the full competitive landscape.

Used Offer Count

The number of marketplace sellers offering the product in Used condition.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

When to use it: Relevant if you sell used products. A high Used offer count on a product you’re selling as New generally doesn’t affect your New Buy Box chances.

Refurbished Offer Count

The number of marketplace sellers offering the product as Refurbished.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Collectible Offer Count

The number of marketplace sellers offering the product as Collectible.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %

Section 4: Buy Box Filters

The Keepa Product Finder Buy Box section contains filters for analysing who holds the Buy Box and how it behaves. This is critical intelligence for understanding whether you can win the Buy Box on a listing.

Buy Box Seller

Filter results by who currently holds the Buy Box.

Input type: Radio buttons: All / Amazon / 3rd Party / Seller IDs (with a text field for specific seller IDs).

When to use it: Select “3rd Party” to find products where the Buy Box is NOT held by Amazon. These are easier for third-party sellers to compete on. Or enter a specific competitor’s seller ID to find every listing where they hold the Buy Box.

Buy Box Shipping Country

The default shipping country of the current Buy Box holder.

Input type: Autocomplete dropdown with two modes: “Is one of” (include) and “Is none of” (exclude).

When to use it: Filter for Buy Box holders shipping from the UK to find domestically-fulfilled listings, or filter for foreign shipping countries to find listings where a UK-based FBA seller might have a delivery speed advantage.

Additional Buy Box Switches

Seven yes/no/all radio button switches that filter based on Buy Box properties:

Switch	What It Means	When to Use
Is FBA	Whether the Buy Box is currently fulfilled by Amazon (FBA)	Set to “No” to find products where FBM holds the Buy Box, a potential FBA opportunity
Unqualified	Whether a seller has won the Buy Box. If no seller qualifies, the Buy Box is suppressed.	Set to “Yes” to find products where no seller has the Buy Box. Can be an opportunity if you meet the criteria
Pre-order	Whether the Buy Box offer is a pre-order	Filter out pre-order products, or specifically find them
Back-order	Whether the Buy Box offer is a back-order	Back-ordered products may indicate supply issues. Opportunity for sellers who have stock
Prime exclusive	Whether the Buy Box is a Prime Exclusive offer	Niche use. Prime Exclusive offers have different competitive dynamics
Prime Eligible Filter	Whether the Buy Box offer is eligible for free shipping / Prime delivery	Most FBA offers are Prime eligible. Set to “Yes” to filter for Prime listings
Subscribe & Save	Whether the Buy Box offer is available for Subscribe & Save	S&S products have recurring revenue but different pricing dynamics

Buy Box: % Amazon

The percentage of time Amazon holds the Buy Box over a given period.

Sub-fields: 30 days, 90 days, 180 days, 365 days (From/To for each).

When to use it: This is hugely important. If Amazon holds the Buy Box 80-100% of the time, it’s very hard for third-party sellers to compete. Setting a maximum here (e.g., To: 20%) finds products where Amazon rarely or never wins the Buy Box. That’s the sweet spot for third-party sellers.

Buy Box: % Top Seller

The Buy Box share percentage of whichever seller (Amazon included) wins it most often.

Sub-fields: 30 days, 90 days, 180 days, 365 days (From/To).

When to use it: If one seller dominates the Buy Box 90%+ of the time, it’s harder for new sellers to break in. A lower top seller percentage means the Buy Box rotates more, which is better for new entrants.

Buy Box: Winner Count

The number of unique sellers who have held the Buy Box during the given period, no matter how briefly.

Sub-fields: 30 days, 90 days, 180 days, 365 days (From/To).

When to use it: More winners = more Buy Box rotation = more chances for you. A winner count of 5+ over 90 days suggests a healthy, competitive listing where new sellers can get a share.

Buy Box: Standard Deviation

Measures how much the Buy Box price varies from its average over a given period.

Sub-fields: 30 days, 90 days, 365 days (From/To).

When to use it: High standard deviation means volatile pricing, prices swinging significantly. Low standard deviation means stable, predictable pricing. Most sellers prefer stable prices (low standard deviation) to avoid price wars.

Buy Box: Flipability

A Keepa-calculated score from 0 to 99 that represents price volatility. 0 means no price changes, 99 means frequent large price swings.

Sub-fields: 30 days, 90 days, 365 days (From/To).

When to use it: Similar concept to Standard Deviation but expressed as a simple score. Low flipability (0-20) suggests stable pricing. High flipability (70+) suggests chaotic price wars. Most sellers target low-to-medium flipability for predictable margins.

Buy Box Eligible Offer Counts

The number of offers that are actually eligible to win the Buy Box, broken down by condition and fulfilment type.

Sub-fields: New FBA, New FBM, Used FBA, Used FBM (From/To for each).

When to use it: Not all sellers are Buy Box eligible. Some have poor metrics or aren’t meeting Amazon’s requirements. This shows you the actual competition for the Buy Box, not just the total seller count.

Buy Box: Top Seller ID

Shows the seller ID of whoever holds the Buy Box most often during each period.

Sub-fields: 30 days, 90 days, 180 days, 365 days.

When to use it: Competitive intelligence. Identify who dominates specific listings and study their pricing strategy.

Section 5: Buy Box Used Filters

A brief section that mirrors some of the Buy Box filters but for the Used Buy Box. Only relevant if you sell used or refurbished products.

Buy Box Used Seller

Filter results by who currently holds the Used Buy Box.

Input type: Radio buttons: All / Amazon Warehouse / 3rd Party / Seller IDs (with a text field for specific seller IDs).

Note: This is slightly different from the main Buy Box Seller filter. Where the main filter has “Amazon” as an option, the Used version has “Amazon Warehouse” instead, since Amazon Warehouse is the primary Amazon seller of used/returned items.

Buy Box Used: Condition

The item condition of the current Used Buy Box winner.

Input type: Checkboxes: Used – Like New, Used – Very Good, Used – Good, Used – Acceptable.

Buy Box Used: Is FBA

Whether the Used Buy Box is fulfilled by Amazon. A single yes/no/all radio switch.

Section 6: Seller ID Filters

These filters let you search for or exclude products based on specific seller IDs. There are five filters in this section:

Seller IDs (General)

Enter one or more seller IDs. Products must have at least one offer from the specified sellers. Prepend a minus sign (-) to a seller ID to exclude that seller from results.

When to use it: Competitor monitoring. Paste in a competitor’s seller ID to find every product they sell. Or exclude yourself to avoid seeing your own listings. To exclude Amazon as a seller, use Amazon’s seller ID with a minus prefix.

Excluding Amazon: Amazon’s seller ID on the UK marketplace is A3P5ROKL5A1OLE. Enter -A3P5ROKL5A1OLE in the Seller IDs field to exclude all listings where Amazon is a seller. This is a quick alternative to using the “Has Amazon Offer” filter in Section 7.

Include historical offers: There’s a checkbox below the Seller IDs field labelled “Include historical offers”. When ticked, the search includes products where the specified seller has offered the product at any point in the past, not just products they’re currently selling. This is useful for tracking a competitor’s full catalogue history.

Seller IDs FBA / Seller IDs FBM

Same as above but restricted to FBA or FBM offers specifically. Useful when you want to see what a specific seller offers through a particular fulfilment channel.

Lowest FBA Seller / Lowest FBM Seller

Shows the seller of the lowest-priced live FBA or FBM offer. If multiple sellers share the same lowest price, all are shown. The seller’s rating percentage is displayed alongside their ID.

When to use it: Identify who’s pricing most aggressively on FBA or FBM listings.

Section 7: Refine Your Search Even More! (Additional Filters)

This is the largest “catch-all” section containing some of the most powerful filters in the entire Keepa Product Finder. Several filters here are essential for serious product research despite the generic section name.

Product Type

Controls what type of product data is available.

Checkboxes: Physical Product / Digital Product / eBooks

When to use it: Always set to “Physical Product” unless you specifically want digital products. Digital products and eBooks don’t have marketplace/3rd party price data.

Variations

Whether a product has variations (size, colour, etc.).

Radio buttons: All / No Variations / Is Variation

Separate checkbox: “Show only one variation per product”

When to use it: Products with many variations can be complex. Different variations may have very different sales velocities and BSR is shared across the parent listing. “No Variations” is useful for beginners who want to keep things simpler. “Is Variation” finds products that are child variations of a parent listing. The separate “Show only one variation per product” checkbox is helpful when you don’t want your results cluttered with multiple colour or size variants of the same product. You can tick this checkbox regardless of which radio option is selected.

Count of Images / Variations

Filter by the number of product images, videos, and variations.

Sub-fields: Image count (From/To), Video count (From/To), Variation count (From/To).

When to use it: Listings with very few images (1-2) may indicate neglected listings, potential opportunities where you could improve the listing and capture sales. High variation counts help identify products with complex variation families.

Last Price Change

The last time Keepa detected any price change on the product.

Input type: Date range.

When to use it: Filter for products with recent price changes to find actively competitive listings, or filter for products with no recent changes to find stable-pricing items.

Tracking Since

When Keepa first started tracking the product.

Input type: Date range.

When to use it: Products tracked for longer have more reliable historical data. Very new tracking entries might not have enough data to make accurate judgements from averages.

Listed Since

When the product was first listed on Amazon.

Input type: Date range.

When to use it: This is more reliable than “Release Date” (which is user-entered and often wrong). Use it to find newly listed products (last 30-90 days) for early-mover advantage, or older products (listed years ago) that may be discontinued and increasing in value. Particularly useful during Q4 for finding toys listed in previous years that might become hot sellers again.

Publication Date / Release Date

Two date range filters. Publication Date is mainly for books, while Release Date is the manufacturer-stated release date for any product.

Note: Release Date is user-generated and frequently inaccurate. Always prefer “Listed Since” for determining how long a product has been on Amazon.

90 Days Out of Stock Percentage (OOS %)

One of the most powerful filters in the entire Keepa Product Finder. It shows what percentage of the last 90 days a particular offer type was out of stock. The higher the number, the less time that offer type was available.

Sub-fields: Separate OOS % for Buy Box out of stock / suppressed, Amazon, New, and Used. Each has a From/To range.

When to use it: This is a core filter for both wholesale and online arbitrage strategies. Key ranges:

• Amazon OOS % of 30-70%: Amazon is in and out of stock. They can’t keep up with demand. Great for OA because Amazon won’t suppress your offer permanently.
• Amazon OOS % of 70-100%: Amazon has essentially abandoned the product. Better for wholesale sellers who can maintain consistent stock.
• Amazon OOS % of 0%: Amazon is always in stock. Very tough competition for the Buy Box.

Combine this with the “Amazon Price: Out of stock” checkbox and the “Has Amazon Offer” filter for a complete picture of Amazon’s presence on a listing.

Amazon OOS Count

The number of times Amazon’s offer went out of stock over the past 30 or 90 days.

Sub-fields: 30-day count, 90-day count (From/To).

When to use it: Complements the OOS %. An Amazon OOS % of 50% could mean they went out of stock once for 45 days, or they went in and out of stock 15 times. The count tells you which. Frequent OOS events suggest supply chain instability.

Sales Rank Drops

The sales rank drops filter counts the number of BSR drops within a given period. Each drop is typically interpreted as a sale. The sales rank drops 90 days filter and the 30 days filter are the most commonly used timeframes for this.

Sub-fields: 30 days, 90 days, 180 days, 365 days (From/To).

When to use it: This filter becomes essential for products that sell fewer than 50 units per month, because Amazon doesn’t show “Bought in Past Month” data for those products. Sales Rank Drops is your only way to estimate sales volume on lower-selling items, and at those lower volumes it’s actually fairly accurate since each BSR drop is more likely to represent a single sale. The more a product sells above 50 per month, the less reliable BSR drops become as a sales estimate, because bulk orders and rapid fluctuations distort the count. For products where Amazon does show “Bought in Past Month” data, use that instead.

Bought in Past Month

The number of units bought in the past month. This is Amazon’s own estimate (extremely accurate), shown on search results pages on Amazon itself (the “1K+ bought in past month” label). This is essentially a sales per month filter with data direct from Amazon and is the most reliable source of sales velocity you will get.

Keepa’s estimated sales filter shows how many units a product sells per month. If you want to estimate sales per day, divide this figure by 30.

Sub-fields: From/To.

When to use it: Use this monthly sales filter when available, this is one of the most reliable sales indicators because it comes directly from Amazon. Not all products have this data; it’s only shown on products with sales of 50 or more per month. If a product shows “50+ bought in past month” on Amazon, it’s a strong sales signal.

90 Days Change % Monthly Sold

The percentage change in units sold over the last 90 days.

Sub-fields: From/To.

Important, counterintuitive: In this filter, a positive percentage means FEWER sales (sales have dropped), while a negative percentage means MORE sales (sales have increased). This is the opposite of what you might expect. Keepa notes this is only available for products with at least 50 units sold per month.

Return Rate

Amazon’s indication of how frequently a product is returned.

Input type: Checkboxes: Low, High.

When to use it: Always worth checking. A “High” return rate is a red flag. It means customers are frequently sending the product back, which suggests quality issues, misleading listings, or sizing problems. Filter to “Low” to avoid problem products that will eat into your margins with return-related costs.

Rating (Stars)

The product’s average star rating on Amazon.

Sub-fields: From/To.

When to use it: Set a minimum of 3.5 or 4.0 stars to avoid poorly reviewed products. Low-rated products have higher return rates and are harder to sell. Products with very high ratings (4.5+) and good sales volume are usually strong listings.

Review Count (Rating Count)

The total number of ratings submitted for the product, including ratings without written reviews. Keepa notes this was previously labelled “Review Count”; it now reflects all ratings, not just written reviews.

Sub-fields: Current, 30/90/180/365 days avg, 1/7/30/90 days drop %. Same full structure as the offer count and price filters.

When to use it: Products with very few reviews (under 10-20) might be too new or too risky. There’s not enough social proof. Products with thousands of reviews are well-established. The sweet spot depends on your strategy, but having at least 50+ ratings generally indicates a proven product.

Reviews, Format Specific

The number of reviews specific to a particular format or variation of a product.

Sub-fields: From/To.

When to use it: Relevant for products with multiple formats (e.g., Blu-ray vs DVD, Hardcover vs Paperback). The format-specific review count filter tells you if a particular version is popular or neglected.

Availability of the Amazon offer (Has Amazon Offer)

The has Amazon offer filter controls whether Amazon themselves are currently selling the product and what the status of their offer is. This is one of the most searched-for filters in this guide.

Input type: Six checkboxes (tick one or more):

• No Amazon offer exists
• Amazon offer is in stock and shippable
• Amazon offer is a pre-order
• Amazon offer availability is “unknown”
• Amazon offer is back-ordered
• Amazon offer shipping is delayed

When to use it: Tick “No Amazon offer exists” to find products where Amazon is not selling at all. If Amazon isn’t on the listing, or is out of stock, you face less competition for the Buy Box. If you’re looking for an Amazon out of stock filter, this is one half of the picture. Combine it with the 90 Days Out of Stock Percentage filter below for the full view. The “shipping is delayed” option is also worth exploring. If Amazon’s offer has a long shipping delay, you can win the Buy Box with faster Prime delivery even when Amazon is technically “in stock”

Amazon Offer Shipping Delay

The estimated shipping delay for Amazon’s own offer, in days.

Sub-fields: From/To.

When to use it: A long shipping delay from Amazon (e.g., 7+ days) suggests they’re struggling with stock or sourcing the item from a distant warehouse. If you can offer the same product with faster Prime delivery, you may win the Buy Box even when Amazon is technically “in stock”.

FBA Pick & Pack Fee

The FBA fulfilment fee Amazon charges for picking, packing, and shipping the product.

Sub-fields: From/To (price range in £).

When to use it: Set a maximum to avoid oversized or heavy items with disproportionately high FBA fees. This directly impacts your profit margins. A £5 product with a £4 FBA fee is not viable. Check this filter early to avoid wasting time analysing products you can’t profitably fulfil.

Number of Items / Pages

The number of items in a pack or pages in a book.

Sub-fields: Items (From/To), Pages (From/To).

When to use it: For multi-packs, use the Items field to find bundle products. For books, use Pages to filter by length. Niche but useful in specific categories.

Package Dimensions & Weight

The physical dimensions and weight of the product’s shipping package.

Sub-fields: Length (cm), Width (cm), Height (cm), Total dimension (cm), Weight (g), all with From/To ranges.

When to use it: Critical for FBA fee management. Amazon’s FBA fee tiers are based on package size and weight. Exceeding certain thresholds (e.g., moving from “small standard” to “large standard” or “small oversize”) causes a significant jump in fees. Set maximum dimensions and weight to stay within your target fee tier.

The weight filter and dimensions filter are critical for FBA sellers because oversized products eat into your margins with higher fulfilment fees. Alternatively you can specifically target bigger and heavier items other sellers might avoid.

If you’re searching for the weight filter by package weight specifically, or want to filter by weight and dimensions together, this is the section to use.

Item Dimensions & Weight

The physical dimensions and weight of the product itself (not the shipping package).

Sub-fields: Same as Package Dimensions: Length, Width, Height (cm), Total dimension, Weight (g), all with From/To.

When to use it: Item dimensions are the product itself; package dimensions are what ships. Sometimes these differ significantly (e.g., a product in a large display box). For FBA fee calculations, package dimensions are what matter, but item dimensions help you understand the actual product size.

Deal Type

Filter for products currently running a deal on Amazon.

Input type: Checkboxes for 13 deal types: App Only, Clearance No Returns, Countdown Ends In, Early Access With Prime, Generic Offer Promo, Limited Time Deal, Prime Day, Prime Day Early, Prime Exclusive, Prime Selling Fast, Selling Fast, Special Event Sale, Unknown.

When to use it: Find products with active deals. Useful for understanding competitive pricing dynamics or finding products that frequently go on promotion.

One Time Coupon

Details about clickable coupon offers on the product.

Sub-fields: Absolute amount (From/To), e.g., “Apply £10 voucher”. Percentage (From/To), e.g., “Save 5%”. Subscribe & Save % (From/To), first-time S&S coupon.

When to use it: Products with active coupons have an effective lower price that affects competitiveness. If you’re matching the Buy Box price but a competitor has a £5 coupon, customers will choose the coupon offer.

Business Discount

The maximum business discount percentage available on the product (for Amazon Business customers).

Sub-fields: From/To.

When to use it: Niche. Relevant if you sell to Amazon Business customers or want to understand business pricing dynamics on a listing.

Additional Product Switches

A set of yes/no/all radio switches for various product attributes:

Switch	What It Means
Is Amazon Renewed	Whether the product is professionally refurbished and certified by Amazon’s Renewed programme. Set to “No” if you only sell brand-new products and want to exclude Renewed listings.
Has Main Video	Whether the product listing has a main video in the image carousel
Has A+ Content	Whether the product has enhanced A+ (EBC) content below the fold
A+ From Manufacturer	Whether the A+ content is from the manufacturer/vendor
Batteries Required	Whether the product needs batteries to function
Batteries Included	Whether batteries come with the product
Is HazMat	Whether the product is classified as hazardous material by Amazon
Is Heat Sensitive	Whether the product is classified as heat sensitive
Adult Product	Whether the product is marked as adults-only
Is Merch on Demand	Whether it’s an Amazon Merch on Demand (print-on-demand) product
Trade-In Eligible	Whether the product is eligible for Amazon’s trade-in programme

Key ones to know: “Is HazMat” and “Is Heat Sensitive” directly affect your FBA inbound shipping. HazMat products require special labelling and can’t go in the same shipment as non-HazMat items. Many sellers filter these to “No” to avoid the complexity. “Is Merch on Demand” is worth setting to “No” to exclude print-on-demand products that you can’t source from suppliers.

Additional Settings: Outdated Price Data

At the very bottom of the filter panel, there’s a checkbox: “Allow products with possibly outdated price information to be included.”

By default, if you sort or filter by any offer-related data, results are restricted to products with a last offer update no older than 3 days. Ticking this checkbox removes that restriction and includes products with older data.

When to use it: Leave it unchecked for most searches. You want current data. Only tick it if you’re doing historical analysis or if your search returns too few results and you suspect data freshness is filtering out valid products.

How to Save & Load Filter Presets

Your filter configuration is encoded in the page URL. To save a preset:

1. Configure all your filters as desired.
2. Copy the full URL from your browser’s address bar.
3. Save it as a bookmark with a descriptive name (e.g., “Keepa, Wholesale Scan, Home & Kitchen”).

To reload a preset, simply open the bookmarked URL. All your filters will be restored exactly as you saved them. You can create as many bookmarked presets as you like for different sourcing strategies, categories, or price points.

Tip: If you want to clear all filters and start fresh, click the “Clear entire form” option or navigate to keepa.com/#!finder directly.

Common Mistakes

After using Keepa Product Finder extensively and helping other sellers set it up, here are the mistakes I see most often:

1. Not selecting a Root Category. Searching “All” returns a random 10,000-product subset of Amazon’s entire catalogue. Always pick a category first.
2. Confusing “Out of stock” on Buy Box Price. This doesn’t mean the product is out of stock. It means no seller has been awarded the Buy Box. This is a crucial distinction.
3. Over-relying on Sales Rank Drops as a sales estimator. Sales Rank Drops are a rough proxy at best. Use “Bought in Past Month” where available.
4. Setting filters too tight. If you set every filter to a narrow range, you’ll get zero results. Start broad and narrow down. Use 2-3 key filters first, then add more once you see what’s available.
5. Ignoring the 90-day average in favour of current values. Current Sales Rank, current price, and current offer counts fluctuate constantly. The 90-day average gives you a much more reliable picture.
6. Not understanding the “90 Days Change % Monthly Sold” direction. In this specific filter, positive % means fewer sales and negative % means more sales. It’s counterintuitive and catches people out.
7. Forgetting HazMat and Heat Sensitive filters. Nothing worse than finding a “perfect” product and then discovering you can’t easily ship it to FBA because it’s classified as hazardous material.
8. Copying someone else’s ‘best settings’ from a YouTube tutorial.” There are no universal best Keepa Product Finder settings. Every YouTube tutorial and blog post showing you their exact filter numbers is showing you what works for their category, their budget, and their sourcing method. A BSR cap of 50,000 that makes sense in Toys & Games would filter out nearly everything in Industrial & Scientific. The right approach is to understand what each filter actually does (which is what this guide covers), then experiment with your own combinations. Start with 2-3 core filters, run a search, look at the results, and adjust. Once you find combinations that work for your niche, save them as bookmarked presets (see the section near the beginning). The real value of Keepa Product Finder is in the thousands of possible filter combinations, not in copying one person’s numbers.