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BSR Sales Estimator

Turn an Amazon Best Sellers Rank into a rough estimate of daily and monthly sales for Kindle or print books.

Your Inputs

Store

Copy the main store rank from the product page, not a category rank.

Your Results

Estimated daily sales
4.5 to 11.2
Midpoint about 7.5 per day
Estimated monthly sales
134 to 336
Midpoint about 224 per 30 days
Sales tier
Steady seller
Rank 25,000 in Kindle Store (overall rank)

These are estimates, not Amazon data

Reference: example ranks, Kindle Store (overall rank), Amazon.com (USD)
Overall rankEst. daily salesDaily range
#100600360 to 900
#1,00010060 to 150
#10,0001710.2 to 25.5
#100,0001.50.9 to 2.3
#1,000,0000.050.03 to 0.08

About the BSR Sales Estimator

Every book on Amazon shows a Best Sellers Rank (BSR), but Amazon does not say how many copies that rank represents. Authors use BSR to size up a niche, gauge a competitor or check the effect of a promotion, and a sales estimate makes the rank easier to understand.

This estimator converts an overall store rank into an estimated range of daily and monthly sales, plus a plain-language sales tier. It uses separate curves for the Kindle Store and for print books, and scales the result for other Amazon marketplaces. A reference table shows what the model gives for example ranks from #100 to #1,000,000, so you can see how quickly sales drop as rank rises.

Treat the result as a rough guide, not a fact. The model is built from anchor points and interpolation, and real sales at a given rank vary by season, day and category. It works best for comparing books or niches against each other rather than predicting your exact income. Read what Amazon BSR is for more background.

How It Works

The model holds a set of anchor points, each pairing a rank with an estimated number of sales per day. Ranks between anchors are interpolated on a log-log scale, which matches the steep curve of book sales.

For marketplaces outside the US, the US estimate is multiplied by a scaling factor for that store's size. These estimates are less reliable and the tool says so.

The range shown is the midpoint estimate multiplied by a low and a high factor. Monthly figures assume 30 days at the same rank.

Formula

Interpolation
log(Sales) is interpolated linearly against log(Rank) between anchor points
Range
Daily range = Estimate × Low factor to Estimate × High factor
Monthly
Monthly sales ≈ Daily sales × 30

Example

An eBook ranked #25,000 in the Kindle Store on Amazon.com

  1. #25,000 sits between the model's anchors at #10,000 and #50,000.
  2. Log-log interpolation gives a midpoint of about 7.5 sales per day.
  3. Applying the range factors gives 4.5 to 11.2 sales per day.
  4. Over 30 days that is about 134 to 336 sales, a 'Steady seller' tier.

A #25,000 Kindle rank suggests roughly 4.5 to 11.2 sales a day, or 134 to 336 a month.

Important Notes

  • Estimates come from a model, not from Amazon data. Real sales at any rank can be much higher or lower.
  • BSR updates hourly and reflects recent sales, so one reading is only a snapshot. Check a rank several times before drawing conclusions.
  • Use the overall store rank only. Sub-category ranks (such as #3 in a niche category) are not supported.
  • Kindle ranks include Kindle Unlimited borrows, so some estimated 'sales' may be page reads rather than purchases.
  • Non-US marketplaces use a simple size factor and are less reliable than US estimates.

Frequently Asked Questions

How accurate are BSR sales estimates?

They are approximate. Any estimator, including this one, models the relationship between rank and sales from limited data. Use the range rather than the midpoint, and compare books against each other rather than relying on one number.

Why can't I use a category rank?

Category ranks only compare a book with others in that category, and categories vary hugely in size. A #1 in a tiny niche can sell fewer copies than #50 in a large one. The model is built for overall store ranks.

Why do Kindle and print estimates differ for the same rank?

The Kindle Store and the Books (print) store have different numbers of titles and different buying patterns, so the same rank represents different sales volumes. The estimator uses a separate curve for each.

Why did my rank jump after a single sale?

At high rank numbers, few sales separate books, so one sale can move a book up by hundreds of thousands of places. The rank then drifts back down until the next sale.

Which marketplaces are supported?

The marketplaces listed in the dropdown. Each uses a scaling factor relative to Amazon.com, so the larger the store, the more reliable the estimate.

Can I estimate income from BSR?

Combine the estimated monthly sales with your royalty per sale from the [KDP Royalty Calculator](/tools/kdp-royalty-calculator) for a rough income range. Remember that both inputs are estimates.