
$100M Offers: How To Make Offers So Good People Feel Stupid Saying No
by Alex Hormozi
4.9 stars from 28,519 reviews. One of the highest rated Self Help books we track.
Last checked: Jul 21, 2024
Must ReadHighly rated with thousands of reviews. A proven favourite.Full price — consider adding to your watchlist for a better deal.
Price range: $0.99 – $9.99
0 readers are tracking this book's price
Fans of these authors will like this...
- Gary Vaynerchuk
- Russell Brunson
- Ryan Holiday
Fans of these books will like this...
- DotCom Secrets
- Traction
- The Lean Startup
Perfect for you if...
- You're a service provider or product founder frustrated that you're undercharging and attracting the wrong customers.
- You want to understand why some businesses seem to print money whilst others struggle to survive in the same market.
- You've heard the phrase 'value-based pricing' but have no idea how to actually construct an offer people can't refuse.
Maybe not for you if...
- You're looking for tactical social media or advertising strategies. This is about the offer itself, not how to promote it.
- You work in highly regulated industries where pricing flexibility is dictated by law or industry standards.
- You prefer theoretical business philosophy over concrete, step-by-step frameworks you can implement this month.
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 $9.99 for 3 years. This book rarely goes on sale.
Sales Rank
Amazon sales rank: lower number = better selling book. #1 is the bestseller.
Currently #8,712 in the Kindle store — a top-10K bestseller. Sales have softened 70% recently.
Rating & Reviews
Purple line = star rating over time. Blue area = total review count growth.
Currently 4.9★ from 28,519 reviews
Gaining approximately 421 new reviews per month. Reader interest is accelerating. Rating has remained stable at 4.9 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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