
Attention Management: How to Create Success and Gain Productivity — Every Day (Empowered Productivity Book 1)
by Maura Thomas
4.4 stars from 325 reviews
Last checked: Jun 19, 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 – $4.06
0 readers are tracking this book's price
Fans of these authors will like this...
- David Allen
- Cal Newport
- James Clear
Fans of these books will like this...
- Getting Things Done
- Deep Work
- Atomic Habits
Perfect for you if...
- You're juggling multiple projects or roles and feel constantly distracted by Slack, email, and competing priorities.
- You've tried time-blocking apps and productivity systems that didn't stick because they didn't address the real problem.
- You want practical techniques grounded in how attention actually works, not another motivational pep talk.
Maybe not for you if...
- You're looking for a quick hack or a one-size-fits-all productivity formula that requires no self-reflection.
- You prefer narrative-driven business books with lots of case studies over systematic frameworks and exercises.
- You're sceptical of mindfulness approaches and prefer pure tactical advice about scheduling and tools.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Price has been stable at $3.82 for 5 years. This book rarely goes on sale.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #422K in the Kindle store — a niche title. Sales have softened 39% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.4★ from 325 reviews
Gaining approximately 2 new reviews per month. Rating has remained stable at 4.4 over the tracking period.
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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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