Every year, we ask thousands of readers (and authors) to share their 3 favorite reads of the year. Now you can enter a book/author you love and see what books readers loved who also loved that book/author.
In November 2024, I removed all the ugly display ads from the website. This is a somewhat risky move, as the ads cover a portion of our costs. However, I am confident we can replace them with book ads and deliver a better experience for both readers and authors in one go.
The ultimate goal is to provide authors with a “one-click” way to get their book in front of the most likely readers, based on similar authors, books, and genres (and filter for the age focus for children's books). And do that in an authentic way that drives interest in the author and their book(s).
Interested in trying paid ads?
Email [email protected] to get pricing and details. I am currently testing it with ~5 authors to ensure everything is working properly (during this test period, authors get a 50% discount), and I work with them every step of the way to improve targeting and performance.
After three months of testing, I'll make pricing public. And I'll continue to share data and details on our author newsletter.
One of the perks our members receive is Book Boost ads for their book(s). We show their book to 100-200 of the most likely readers to thank them for supporting our mission to build this platform.
We added automated stats so that authors can see how many readers saw their ad, the clicks they got, and their click-through-rate. We send the email on the 15th and 1st of every month.
This section shows the most recommended books within that bookshelf. Plus, you can dive into the most recommended books by year, decade, age group, and more (depending on the book grouping).
This page will update monthly and show you the books mentioned the most in the last month. It is a cool way to identify up-and-coming books and authors.
This will show off book recommendation lists that authors and experts have created that match that bookshelf. For example, Dave's list of the best science fiction books with an everyman hero under the sci-fi bookshelf.
We have a personalized book newsletter where readers can input up to 6 favorite books, authors, genres, or topics. Then we email them book ideas based on their desired frequency (weekly to every 4 weeks).
What did we add?
Readers can change the frequency from weekly to every 2, 3, or 4 weeks.
Readers can change the variables that go into the selection (so you can update the books, genres, authors, etc, that it is built on).
We created the concept of book series within our system and started publishing those pages on the frontend (it creates books-like pages for that series and shows book lists related to it).
I want to make it easier for readers to see all the books in a series and celebrate the author's work. Both readers and authors highly requested this. I am working to add a notification system so readers get alerts when a new book is out in their favorite series.
We launched the Book Boost perk for Founding Authors a year ago! We have learned a lot and upgraded it in the following ways:
As a special holiday gift, we are switching all the website ad inventory to Founding Authors for December, January, and February (I removed all the ugly display ads on the website and will launch a paid book ad program in March).
We are moving from a 60-day burst of advertising for Founding Authors to persistent exposure every month. We will get each Founding Author in front of 100 to 200 of the most likely readers for their book (depending on their membership plan).
In our third full year since launch, we welcomed over 3.2 million visitors!
This was a decline versus the 5 million we had in 2023. Why?
Google is struggling with the quality of its search engine, and 2024 was rough as we lost a lot of the traffic they usually send us. They are no longer showing independent publishers and have made a massive shift toward large brands like Forbes (yuck). If you are curious about the situation, here is a breakdown of what is happening by other indie publishers (HouseFresh, RetroDodo, Healthy Framework (part 2), RePlay, etc..).
This is painful in the short term, but I hope to regain even more traffic over the coming years as they fix their search engine. We also have a lot of non-Google traffic, which continues to grow fast. I wrote up my thoughts here to share with Google.
This, along with the shift to an AI world, is why we are focused on building a full app for readers so they come straight to us (and eventually, we will launch phone apps).
We added a referral program for authors, online communities, and readers. How does that help them?
For authors - If you refer a reader who shares their 3 favorite reads of 2024, your book will be featured at the bottom of their list in a promoted spot. I thought this would be a cool reward for authors who encourage their fan base to share as part of our Readers’ Favorite Books of 2024.
For online book communities and fan bases, we can build a custom setup for their communities to vote on their favorite reads of the year. This year, we partnered with Subreddits like LitRPG and Truelit on this, as well as authors like Michael J. Sullivan. I have a lot more plans for this feature in the coming years.
We launched the 3 Favorite Reads of the Year program in 2023, but we did everything manually, and authors submitted their picks via a Word document. Now, readers and authors can submit everything online!
Try it here and share your 3 favorite reads (here are mine,)! This uses our new Book DNA review format that I have been testing. It is designed to help understand why you liked a book so that as we grow, we can help you find readers who share your Book DNA and deliver better recommendations.
It has been a long time coming, but we finally have user accounts in place. This will power every feature we build for readers and authors in the coming years. The first feature it will power is the upcoming 3 favorite reads of the year event!
We upgraded our front page to make it easier to navigate and pretty 😄.
This puts the focus on search, as that is the most efficient way for readers to start using Book DNA. Especially with the improvements we have made to that system.
We made massive improvements to our search feature. We now return search result pages that help readers start exploring the website. They can search for an author, book, genre, topic, or age-group.
We launched a big perk for our Founding Authors to help their books get a little extra publicity. As long as they are members we put them in front of 100 to 200 of the most likely readers for their book every month with Book Boost Ads.
Every year, we ask readers for their 3 favorite reads of the year. This combines all that data to show which books are the most favored. Plus, you can dive deep into genres, topics, and age groups.
Our goal here it to delight readers with great books and give authors more publicity who have a book with that “magic spark.”
Authors can now share their 3 favorite reads of the year, and we promote one of their books alongside their list. Check out author Ingrid Ricks’ favorite 3 reads of 2023. It is a great way to engage your fan base and remind them about your book, and Shepherd also promotes this list to our visitors.
We added genre, topic, and age filters to all our bookshelves to help you discover the type of book you want! Plus, you can sort the results by serendipity, most-recommended, newest books, and oldest books.
Try our bookshelf on science fiction and use the filters to zoom in on only science fiction books with artificial intelligence.
We added genre and age data to the backend and many tools to manage those. This is the culmination of many months of work and research, and it will power many future features.
Previous to this, we did everything manually. Now, we only need to find an ISBN/ASIN, check for errors, and find a high-definition book cover image.
We also added some protections to help us identify duplicate books and authors. In the long term, I hope to create direct access for authors to fix data and our own "librarian program" for readers who want to help improve data (the data is so messy).
Now, you can find books based on a book you already know and love!
Even better, these recommendations are from fans of that book and not some silly computer algorithm. Try this page with books like Kitchen Confidential (by one of my heroes, Anthony Bourdain).
We added individual book pages to explore each book and why you should read it (try Kitchen Confidential or Dune). We have a lot more planned for this section in the coming years.
This switches the format to one column instead of two, and it shows more about the person making the recommendation (plus, you can meet them and their book). Try our bookshelf on dystopias to try it. This is the finished version as we tried a few different options during testing.