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Most people pick a KDP niche the same way: a gut feeling, a YouTube video about "hot niches", and a quick look at Amazon. Then they spend two weeks making a book nobody searches for.

We do it differently. Before we make anything, our publishing system, Pressroom, scores every niche from 0 to 100 using Amazon's own data. So far it has analysed 170 search phrases and 336 books across four research runs. This guide walks you through the exact method, with the real numbers, so you can use it yourself, with or without code.

Short version: collect the phrases buyers type, look at the top 10 books for each one, and score six things: demand, competition, margin, series dominance, freshness, and title gap. Then check for red flags that override the score.

Step 1: Collect the phrases buyers actually type

Start with Amazon's search autocomplete, in the Books department. Type a seed phrase like "word search for seniors" and write down every suggestion. Then add one letter after the seed ("word search for seniors a", "…b") to dig deeper.

Autocomplete is gold for two reasons. Every suggestion is something real buyers typed, and the order hints at how popular it is. Pressroom records each phrase with a popularity value from autocomplete, which it later uses in the score.

Before you look at any results, set Amazon's Deliver to to a US ZIP code (10001 works). Otherwise prices show in your local currency and your margin math will be wrong.

Step 2: Look at the top 10 books for each phrase

Search each phrase and look at page 1. Ignore the sponsored results; you want the organic top 10, because that's what you'd compete with for free.

For each of those 10 books, note:

That's the raw material. Everything below is calculated from it.

Step 3: Score six things

Each part gets a value from 0 to 1, and the weighted total becomes the niche score out of 100.

PartWeightWhat it measures
Demand35%How well books that target this phrase sell (BSR)
Competition25%How many top books have few reviews
Margin15%Your royalty per book after print costs
Concentration10%Whether one series owns the results
Freshness10%Whether new books are breaking in
Gap5%How many top titles don't even target the phrase

Demand (35%): only count books that target the phrase

This is the mistake most niche tools make. Amazon fills page 1 with generic bestsellers, so a phrase can look hot just because a famous book shows up next to it.

Pressroom measures demand from the books whose titles actually contain the phrase's specific words. A median BSR of 20,000 or better scores full marks; 400,000 or worse scores zero. If fewer than two top books really target the phrase, the angle is marked untested and its demand score is cut hard.

For a rough sense of what BSR means in sales (paperbacks, estimates only):

BSRAbout this many sales a day
1,00060
10,00012
50,0003
100,0001.5
500,0000.15

Competition (25%): reviews are the real barrier

A new book can rank, but it can't fake 1,000 reviews. So competition looks at two numbers: the share of the top 10 with fewer than 100 reviews, and the median review count.

Compare these two from our data:

Both phrases have buyers. Only one of them lets a new book in.

Margin (15%): what you actually earn per book

KDP pays 60% of the list price, minus the print cost. For a black-and-white 8.5×11 paperback (KDP's 2025 US schedule; check their calculator, as it changes):

So a 150-page large-print book at $11.49 earns:

royalty = 0.60 × 11.49 − (1.00 + 150 × 0.017)
        = 6.89 − 3.55
        = $3.34 per book

A royalty under $1 gets flagged. Our data flagged "fall word search puzzles" for exactly that: a median price of $6.32 left about $0.94 per book.

Concentration (10%): is one series in charge?

If one series holds 40% or more of the top 10, buyers already have a favourite and Amazon keeps recommending it. "Cozy coloring book" scored well on demand, but a single series held half of the top results.

Freshness (10%): are new books breaking in?

Count the top-10 books published in the last 12 months that sell better than BSR 150,000. If new books are selling, the door is open. "Murder mystery word search puzzle book" had 7 of them, the most of any phrase we checked.

Gap (5%): do the top books even target the phrase?

If most top titles don't contain the phrase's specific words, there's room for a book that matches the search exactly. It's a small weight because it's a nice-to-have, not proof of demand.

Step 4: Check the red flags

Some problems override any score:

What the scores told us

Here's a slice of our real results. The data was captured between September 28 and October 13, 2026; BSR moves daily, so treat it as a snapshot.

PhraseScoreVerdict
murder mystery word search puzzle book90.8Strong, build it
jumbo word search for seniors89.8Strong, build it
cozy mystery word search86.9Strong, build it
cozy fall coloring book85.6Strong (seasonal)
bold and easy christmas coloring book78.4Strong (seasonal)
word search for seniors76.6Strong, build it
large print word search books for seniors63.5Viable, niche down
easy word search for seniors with dementia62.5Viable, niche down
brain games word search71.6Not targetable (brand)

Three of the books we’ve published sit in niches from the top of this list: a murder mystery word search, a jumbo word search for seniors, and a bold and easy Christmas coloring book. You can see them, and the system that made them, on the Pressroom page.

How to read a score

Doing this without code

You don't need our system to use the method. A spreadsheet works:

  1. One row per phrase from autocomplete.
  2. For each phrase, copy the top 10 organic books' BSR, reviews, price, pages, and publication date into a second sheet.
  3. Calculate the median BSR of the books that target the phrase, the share with under 100 reviews, the median royalty, and the count of fresh books selling.
  4. Score each part 0 to 1 against the thresholds above, apply the weights, and sort.

It takes about 30 minutes per phrase by hand. That's why we automated it, but the thinking is the same.

The honest limits


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