
Red Sonja: Consumed
by Gail Simone
4.4 stars from 317 reviews
Last checked: May 26, 2026
While not the biggest discount we've seen for this book, it's still a great deal and we recommend grabbing it before price returns to its normal range.
Price range: $1.99 – $14.99
0 readers are tracking this book's price
Fans of these authors will like this...
- N.K. Jemisin
- V.E. Schwab
- Sylvia Moreno-Garcia
Fans of these books will like this...
- The Priory of the Orange Tree
- Mexican Gothic
- Gideon the Ninth
Perfect for you if...
- You love morally grey female antiheroes who fight their own demons as much as their enemies.
- You want epic fantasy with serious action sequences written by someone who understands how to build real tension.
- You're drawn to stories about reckoning with the past and what it costs to finally stop running.
Maybe not for you if...
- You need your protagonists to be sympathetic or likeable from page one.
- You prefer high fantasy with world-building that takes precedence over character arcs.
- You're looking for a traditionally romantic storyline as the emotional core.
About this book
Get the best deal every time
We track price drops, sale patterns, and predict when this book will go on offer next.
Price History
Kindle price over time. Green zones = periods when the book was free.
Currently on sale at $9.99 — 33% off peak. Price has dropped 8 times over the last 3 years. Goes on sale roughly every 71 days. Typically stays discounted for 1 day.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #146K in the Kindle store — a niche title. Sales have softened 44% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.4★ from 317 reviews
Gaining approximately 18 new reviews per month. Rating has dipped slightly from 4.8 to 4.4.
Sale Prediction
Actual Predicted
This book is currently discounted at $9.99. It typically returns to around $14.99.
Prices shown in USD from Amazon US. We continuously pull new data to improve tracking. If dates look old, it usually means there has been no significant change since the last data point.
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