Complete Market Research Guide for Bookstores Selling on Amazon.com

A bookstore selling on Amazon is judged twice. Readers judge the book: whether the story held them, whether the textbook covered the course, whether the cookbook's recipes worked. Then they judge the seller: whether the copy arrived in the condition described, whether it was packed well enough to survive the trip and whether it came on time. A buyer can love the book and still leave a seller a poor rating, or be disappointed by the book and still be pleased with the seller.

That gives a bookseller two separate bodies of evidence. Reviews of the books themselves show what readers want in a category, which titles satisfy them and what they look for and cannot find. Feedback about the buying experience shows how your store compares with every other seller offering the same title. Most small booksellers look at neither systematically, and both are mostly already written.

This guide shows how an independent bookstore or a small publisher selling on Amazon can turn that feedback into real market research about its own store, its competitors and the book market.

Key Research Questions

Before collecting anything, it helps to know what the research is for. For a bookseller on Amazon, the questions fall into three groups: questions about your own store, questions about the sellers and publishers you compete with, and questions about where readers' demand is moving. Each group has a book side and a seller side.

Your Store

On the book side, the questions are about your range. Which categories and titles bring buyers back? Which books do readers buy as gifts, for school or for a collection, and which for their own reading? For a publisher, the question extends to your own titles: what do readers praise and criticize, and how does that compare with similar books?

On the seller side, the questions are about the experience you deliver. Do buyers find that the condition matches your description? Do books arrive undamaged? What do buyers mention when they leave a poor rating, and what do they mention when they go out of their way to praise you?

Your Competitors

On Amazon, your competitors are often selling the very same title. What separates the sellers that buyers praise from the ones they complain about: price, condition, packaging, shipping speed or communication? Beyond individual sellers, other publishers compete for the same readers in the same category, and reviews of their books show what readers value and what they find missing.

The Book Market

The third group concerns demand. Which categories are readers asking for more often? Which needs come up in reviews again and again without a book that meets them? When do readers choose an e-book, an audiobook or a library loan over a printed copy, and why? These questions shape what a small bookstore stocks and what a small publisher commissions.

Sources of Evidence

Evidence about a bookstore on Amazon comes from four places: what readers write about the books, what buyers tell you about your store, what you can ask readers directly, and what you can observe on the listings yourself. Each answers the questions above from a different angle, and the strongest research combines them.

Reviews of the Books

Amazon reviews of the books in your categories are the largest source of evidence about demand. They describe why a reader chose a book, what they expected, whether it delivered and what they wished it had included. Reviews of books you do not stock are as useful as reviews of the ones you do, because they show where demand already exists. Reddit adds longer discussions, where readers recommend books, compare editions and explain what they are looking for.

Seller Feedback and Your Own Records

The seller side lives mostly in your own records: the feedback buyers leave for your store, their messages, return requests and the reasons given for them. Together they describe condition, packaging, delivery and communication in detail. Collected in one spreadsheet, with columns for the date, the category and whether the copy was new or used, they become the beginning of a customer feedback analysis practice.

Surveys and Conversations with Readers

Traditional methods still have a role. A short message after delivery can ask buyers to rate the experience and answer one open question about what would have made it better. Conversations with regular buyers, teachers who assign books or members of a local reading group show how people decide what to buy and where. Survey answers and conversation notes are qualitative research data, and they need the same structured analysis as reviews to become more than a collection of opinions.

Listings and Pricing

Two practical checks sit slightly outside feedback research. A listing check looks at how other sellers of the same titles describe condition, which grading words they use, whether they add photos and how they state shipping times. A pricing check compares your prices with the range of new and used offers for the same title, including shipping. Reviews and seller feedback then add what a price list cannot: whether buyers felt the copy was worth what they paid.

Researching Book Sales with Kimola

Kimola is an AI platform that turns customer feedback into enterprise-grade market research. For a bookseller on Amazon, that means taking reviews of the books in your categories, together with your own seller feedback and return records, and turning them into a structured study of what readers want, how your store is experienced and what to change. The steps below follow the order a researcher would work in, and you can start with a free account, without a credit card.

Building the Dataset

After signing up, go to the Create your report area on the Home screen and paste the link to a book's Amazon page. With the Add Multiple option you can paste several links, one per line, and Kimola collects the reviews from all of them into a single dataset. A practical first report puts several books from the same category side by side, for example the titles you sell most and the comparable titles you do not stock yet. The support article on creating a report by adding links walks through each screen.

For Reddit, Kimola's browser extension, Airset Generator, collects the comments from a thread and sends them to your account as an Airset, which you can turn into a report. Your own data, such as seller feedback, buyer messages or return reasons, can be uploaded as an .xls, .xlsx, .csv or .tsv file. If the file contains columns like category, condition grade or month, Kimola reads them, and you can filter and compare the results by those values.

Keep the two kinds of evidence in separate reports. Reviews of books describe reading, and seller feedback describes buying and delivery, so mixing them blurs both.

Choosing Dimensions

Dimensions are the research questions Kimola asks of every piece of feedback. You choose them when you create the report or add them later, and the guide to Dimensions explains each one. For a bookseller, four are especially useful.

Motivations asks why a book was bought. In book reviews, the answers are often a gift, a school or university course, a collection, a book club or personal reading, and each of these buyers expects something different from the same title. A gift buyer cares about the cover and condition, a student about the edition, a collector about the printing.

Experience Context asks what situation the purchase was for, such as a holiday, a new school term, a trip or a child learning to read. It explains why demand for some categories moves with the calendar and why the same book collects different kinds of praise.

Unmet Needs asks what readers want and cannot find: a book on a topic that is not covered well, a large-print or illustrated edition, a beginner's version of a subject, a translation. For a bookstore these comments point to stock; for a publisher they point to the next title.

Substitutions asks what readers compare a printed book with or switch to, including e-books, audiobooks and library loans. It shows when print wins, for example as a gift or for reference, and when buyers say they would rather have chosen another format.

For a report built from your seller feedback, Pain Points is the natural addition, because it shows which parts of the buying experience go wrong most often.

Reading the Report

The Overview shows the main themes in the feedback and how sentiment is distributed. Kimola finds those themes in the data itself instead of sorting comments into a fixed list of categories, so a review can be tagged with something as specific as recipes with hard-to-find ingredients or a study guide that does not match the current exam.

Each review can mention several themes, and each theme gets its own sentiment. A reader who loved the story but found the print too small contributes a positive mention of the content and a negative mention of the edition, which a single star rating would hide.

The Performance screen ranks themes with a Satisfaction Score and a Dissatisfaction Score. These scores account for how many reviews mention a theme as well as the percentage, so a theme backed by five reviews does not outrank one backed by fifty. For a small bookseller, this protects against the most common mistake in small-scale research, which is drawing confident conclusions from a handful of comments.

Signals

Signals are findings that have passed a statistical test. Kimola crosses every theme and Dimension with the columns in your dataset, such as book, category, star rating or date, and checks whether a topic is discussed more often or more negatively in one group than in the others (Differences) or more often recently than before (Trends). Only significant results become Signals, and they are ranked so the most important ones come first. The explanation of how Signals are tested covers the method in more detail.

A Signal might show that complaints about outdated content are concentrated in one group of titles, that gift purchases are discussed more positively for one edition than another, or that complaints about damaged corners have increased in your seller feedback in recent months. Signals need enough feedback and at least some selected Dimensions. When the data does not contain a pattern strong enough to report, the report shows none, which is an honest result.

Compare

Compare puts segments of a report side by side: different books, different categories, or one-star and five-star reviews. Up to five can be compared at once, without using extra queries. For a bookseller, a useful comparison places the titles in one category next to each other and shows the volume of feedback, the sentiment, the themes they share and the themes that appear for only one of them. In a seller feedback report, comparing new and used copies shows whether the two parts of your stock are experienced differently.

Action Plans

Action Plans turn the findings into steps. You start by choosing or creating a Profile that describes your store or publishing house, what it sells and to whom, then select a perspective: Our own offering, A rival or Our market. These match the three groups of questions at the beginning of this guide. For a report about the books in a category, Our market with the Product Development goal helps decide what to stock or publish next. For a report built from your seller feedback, Our own offering with the Customer Experience goal focuses on the buying experience.

Kimola builds hypotheses from the report, tests each one against the feedback and drops the actions the evidence does not support. Each remaining action comes with a confidence level and explains why it matters, who it is for, when and where to act, the risk involved and how to see that it worked, along with the evidence behind it. A plan contains up to 12 actions. Plans work best when the report already has Signals, as the support article on how actions are built explains.

From Findings to Decisions

Research is only useful if it changes a decision. Some of the decisions below rest mostly on reviews of the books, others on seller feedback, and several on both.

Category and Title Selection

When Unmet Needs shows readers in a category repeatedly asking for something the available books do not offer, that is a candidate for your next order or, for a publisher, your next title. Motivations shows which buyers a category serves, and Experience Context shows when they buy, which helps you time stock for the school term or the holiday season.

New and Used Stock

Buyers of new and used copies expect different things. If your seller feedback shows used copies drawing more complaints than new ones, the problem may be grading rather than the books themselves. Substitutions in book reviews also shows where buyers are price-sensitive enough to consider a used copy or another format, which helps decide where used stock is worth carrying.

Condition Descriptions

Many complaints about used books are really complaints about descriptions. When Pain Points in your seller feedback shows buyers describing highlighting, worn covers or missing pages they did not expect, clearer grading words, added detail or photos usually do more than better stock. Comparing how other sellers of the same titles describe condition shows what buyers in your category have learned to expect.

Packaging and Shipping

Bent corners, water damage and late arrival are common and concrete themes. If they cluster around certain formats, such as large hardcovers or boxed sets, packaging for those formats is the place to start. If they cluster around a period, a carrier or a shipping option, the fix is in fulfillment rather than packing.

Pricing

Price is judged against the whole experience. When buyers describe a copy as worth the price, they usually mention condition and speed in the same sentence. When they complain about price, the themes around it show whether the issue is the price itself or a copy that did not live up to its description.

Seller Reputation

Your rating as a seller grows out of the decisions above. When the same theme appears in your own feedback and in Signals over time, it is a strong candidate for a real reason buyers leave poor ratings. Repeating the research after a change in grading, packaging or shipping shows whether buyers noticed.

Ongoing Research

A single report gives you a snapshot, and a bookseller's market changes with every new release, school year and holiday season. Repeating the research at regular intervals, for example every quarter or before each busy season, shows whether the changes you made actually moved the themes they were meant to move.

On paid plans, Feeds keep the research running continuously. A Feed collects public mentions from social media, news sites, blogs, forums, YouTube and review sites, based on the keywords and links you define. Alerts email your team when something important happens, and Mailings send a regular summary. Over time, Trends Signals show which topics are rising and which are fading.

Multi-Channel Booksellers and Publishers

Booksellers that sell through several marketplaces and their own website, and publishers with large catalogs, face the same questions at a larger scale, with one more added: why does the same title or the same store perform differently from one channel or category to another? On the Enterprise plan, each channel, imprint or feedback source can become a Space, a continuously growing source of feedback classified with the same Funnel, which is a shared set of custom models and Dimensions. Because every channel is analyzed the same way, results stay comparable over time and across the business. Spaces also calculate an NPS from what customers write, on a scale from -100 to 100. It is derived from the positive and negative share of written feedback, so it is not the same as a Net Promoter Score from a 0 to 10 survey, and NPS targets can be set for each area.

When a finding needs action, Tasks assign it to a team member with the underlying feedback attached as evidence, and Tasks can be sent to Jira. After a Task is closed, Kimola measures feedback on the same topic again two and four weeks later, so a change in grading or packaging can be checked against what buyers say afterwards. Executive summary screens give leadership a single view of what customers are saying across the organization. Enterprise accounts are set up together with a dedicated Account Manager, and you can request a demo to discuss your setup.

Frequently Asked Questions

A few practical questions come up when a bookseller starts researching with customer feedback for the first time.

Should book reviews and seller feedback be analyzed together?

Separately is usually clearer. Reviews of books describe reading and tell you about demand, while seller feedback describes buying and delivery and tells you about your store. Two reports let you choose the right Dimensions for each.

Can I research books I do not sell yet?

Yes. Any book's Amazon page can be added to a report, which makes it possible to study a category or a title before you stock it, or before you decide to publish something similar.

How many reviews do I need before the findings mean anything?

There is no fixed threshold, and the ranking on the Performance screen is designed to protect you from small samples by weighing how many reviews support each theme. Adding several books from the same category to one report is the easiest way to reach a dataset large enough for Signals.

Getting Started

Readers and buyers have already written much of what your bookstore needs to know, about the books in your categories and about the experience of buying them. Create a free Kimola account, add a few books from a category you sell to a single report, and read what readers say they want. If you also publish your own titles or sell other products on Amazon, the market research guides for e-book creators and Amazon sellers apply the same approach, and the market research guide for small businesses covers the method for any industry.