
Survive and Thrive: How to Build a Profitable Business in Any Economy (Including This One)
by John Meese
4.7 stars from 60 reviews
Last checked: Jun 1, 2026
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Price range: $0.99 – $17.99
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Fans of these authors will like this...
- Michael Hyatt
- Ray Edwards
- Chris Brogan
Fans of these books will like this...
- The Lean Startup
- Good to Great
- Profit First
Perfect for you if...
- You're a business owner tired of watching profits evaporate when external shocks hit and want concrete strategies to insulate your operation.
- You've built something but know it's fragile, and you're looking for a practical playbook that doesn't require an MBA to understand.
- You respect case studies over theory and learn best from entrepreneurs who've actually navigated downturns, not armchair economists.
Maybe not for you if...
- You want a get-rich-quick formula or shortcuts that bypass the hard work of building real customer relationships.
- You're looking for cutting-edge AI strategies or the latest growth hacking trends rather than time-tested business fundamentals.
- You run a one-person freelance operation and have no interest in scaling or formalising your finances.
About this book
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Price History
Kindle price over time. Green zones = periods when the book was free.
Price has dropped 48 times over the last 5 years. Goes on sale roughly every 40 days. Typically stays discounted for 24 days.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently around #112K in the Kindle store — a niche title. Sales have softened 20% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.7★ from 60 reviews
Review activity has been quiet recently. Rating has remained stable at 4.7 over the tracking period.
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Actual Predicted
Based on past patterns, a price drop could happen soon. It typically goes on sale every 40 days and the last drop was 28 days ago. Typical discount: 94% off.
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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