The best practices for using bookseller data


Using analytical material from bookseller data is important when you want to publish your own book.

What exactly is important to look for within bookseller data? How does one look at the results and apply them to their own content, product or brand? There are several practices to consider when using bookseller data in your analysis.

Use data to be specific

Each online retailer will have different results because the individual audience of a bookseller will fluctuate with their brand, popularity, and target demographic (Digital Book World). You can use individual data to optimise author biographies or book descriptions for each bookseller. Integrating keywords that stand out or make your book competitive against other titles is one possibility. Another is to create content relating to your book by maintaining a similar voice to more popular items.

Adjust and change your pricing

Looking at bookseller data in different markets can help you adjust the price of a book for where and on what website the product is being sold. By utilising this data, you can analyse where and how similar books perform and adjust your pricing to reflect that and be more competitive in that market. Maintaining a competitive price promotes your book by reflecting desirability, but how much or little “competitive” can be determined by looking at bookseller data.

Tracking data and your projections

Tracking data suggestions and rates helps to build a predictive model about how well your book will do at certain times and in specific locations. This can help you make sure that your suppliers are always properly stocked with your product and can help you foresee when you’re going to need to adjust your product projections. For more suggestions and recommendations on how to use data, visit ALHAUS.