Making money with penny books, and a formula for spotting hidden FBA offers your app won’t show.
Update: Since this article was originally posted, new FBA fees have changed much of the numbers I offered in this article. The principles remain 100% relevant.
What follows is my secret formula for knowing if Fulfillment by
And a statistical analysis to prove it.
This is a long one, so let’s break down the contents:
- The principles of spotting invisible FBA data
- The Penny Book Profits Project: A statistical study of
Amazon offers, FBA prices, and how to spot them
How to know when there are high-value FBA offers your app wont show… Without clicking through to
What follows will allow you to extract profit from sources that have been picked over by other Fulfillment by
This took me a long time to research. I call this study The Penny Book Profits Project. (And because it took me 8 hours to compile, I consider it worthy of this lofty and pretentious title.)
Here’s the basic idea…
There is a predictable ratio of FBA offers to merchant fulfilled offers at various sales rank’s. When you know these ratios, you can “read between the lines” of your scanning app data, and determine the likely volume of FBA competition – even though your scanning app won’t show it to you.
(And again, if you didn’t know your scanning app isn’t showing you most FBA offers anymore, you must read this article from last month.)
Prepare to be temporarily confused
This will be among the most misunderstood articles I’ve written, but also among the most important. I believe that the few who take the time to really understand this material will make significant money for the effort.
Most will dismiss it as “too complicated,” and move on. Be thankful for those people. It gives those of us who do understand this formula a massively greater advantage over other sellers.
Here are two hypothetical examples:
Type of item: Book
Number of used offers: 30
Price of lowest used offer: 1 cent.
Used FBA offers: None shown.
My cost: $2
What would I do? Buy, buy, buy.
What I can read into this data: Even though we can’t trust our apps to show us FBA offers anymore, I can tell from the data there is high likelihood there are no FBA offers for this book. I expect to price all the way up to within pennies of
How can I be so sure? That’s what this article is about.
Second example:
Type of item: Book
Number of used offers: 200
Price of lowest used offer: 1 cent.
Used FBA offers: None shown.
My cost: 25 cents
What would I do? Put it down and walk away. No – run away.
The stats on this are mostly identical – Same rank, same used price. And there is an even higher
It’s the number of used offers. 200 used offers virtually guarantees there is a large number of FBA offers, probably bunched up around the $4.50 to $5 range. Just out of sight of our scanning apps (they’ll only show us the bottom 20).
It’s all about the total number of used offers. Since our scanning apps still show us this, we can use the statistical data (revealed below) to determine the likelihood of high-value FBA offers.
If this all sounds complicated, I’m about to make it very simple below…
How is it possible to see “invisible” FBA offers? Here’s the rough formula
Before we get into my statistical study of hundreds of
1) The better the sales rank, the fewer the FBA offers – and the higher priced those FBA offers are.
2) The greater the number of merchant fulfilled offers, the greater the number of Prime / FBA offers, and consequently the lower the FBA prices.
3) There is a strong relationship between merchant fulfilled offers, sales rank, and the price of FBA offers.
All of this is data we can currently see on our scanning apps.
The days of FBA sellers profiting off penny books are NOT over
I didn’t get in at the ground floor of FBA, but even when I got in four years ago you could pick up most well-ranked penny books and expect to not have any FBA competition below $7. Those were the glory days.
Today, a lot of new sellers are on board. And a lot of them price desperately and irresponsibly (Read: Low). And it has forced FBA prices down.
But as I have shown with my research below, there is still plenty of opportunity to profit off penny books. And because you can’t click over to
More specifically: What we can read into the column that shows the number of used offers.
The goal: To dramatically reduce clicking through from your app to
If you’re a savvy Fulfillment by
The point of the study that follows is to dramatically reduce how often you click through to
If you made it this far, you’ve cleared the important but boring stuff. Now let’s get into the study I keep talking about. I call it The Penny Book Profits Project.
I did an excruciating survey of hundreds of books on
Seriously, this was painful.
I set out to conclusively answer the questions:
1) Can we look at the number of merchant fulfilled offers and sales rank and predict the value of the FBA competition among penny books, even though our app won’t show it to us?
(Clicking through to
2) If so, can we look at scanning app data and know when there is a 50% or greater chance a penny book has an FBA offer priced $7 or above?
(I wanted to get some hard numbers and not waste time clicking over to
Sidebar: Why $7?
Because that’s my threshold. I don’t acquire books unless I think I can sell them for at least $7. Yours may be higher or lower.
So here’s my study: The Penny Book Profits Project
For each example, I sampled 10 books – enough to be statistically significant, small enough to not drive me crazy.
All of these were penny books: That is, had many used offers at a penny (+ 3.99 postage).
There was no easy way to do this. I just had to comb
Sample #1: Extremely low rank, medium number of used offers.
Sample set: 10 books.
Sales rank: 1,000 to 5,000
Used offers: More than 100, less than 150.
Used price: One penny.
Number with lowest FBA offer more than $7: Seven
Number with lowest FBA offer less than $7: Three
Results: Despite being penny books, 70% had FBA offers above $7 as long as the number of used offers didn’t exceed 150.
What the scanning app shows.
Same offer on
Sample #2: Extremely low rank, high number of used offers.
Sample size: 10 books
Sales rank: 1,000 to 5,000
Used offers: More than 250, less than 500
Used price: One penny.
Number with lowest FBA offer more than $7: Three
Number with lowest FBA offer less than $7: Seven
Results: The numbers completely flip when the used offers exceeds 250. 30% of these had FBA offers over $7. We’re sampling the most well-ranked books on all of
Sample #3: Low rank, high number of used offers.
Sample size: 10 books
Sales rank: 5,000 to 10,000
Used offers: 250 to 500
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Two
Number with lowest FBA offer less than $7: Eight
Results: With the drop in sales rank, the numbers didn’t move much. Only 20% had offers in the $7+ range when the number of used offers exceeded 250. Even among high-demand books, when there are 250+ used copies, the glut of FBA offers is just too much to consistently see FBA opportunity.
Sample #4: Low rank, medium number of used offers.
Sample size: 10 books.
Sales rank: 5,000 to 10,000
Used offers: 100 to 150
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Six
Number with lowest FBA offer less than $7: Four
Results: 60% had $7+ FBA offers in this range. From this, we can learn that penny books start to have $7+ FBA offers less than 50% of the time when the rank gets worse than 10,000 and the number of used offers is more than 100. While we’re still in better-than-10,000 territory, we still see the majority having $7+ FBA offers.
Sample #5: Low sales rank, medium number of used offers.
Sample size: 10 books
Sales rank: 20,000 to 30,000
Used offers: 100 to 150
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Four
Number with lowest FBA offer less than $7: Six
Results: 40% had offers over $7. Also worth noting: Most of the offers in the sub-$7 range were single, lowball offers, and the next FBA offer in line was over $7. Now we’re getting into territory where it’s still worth clicking over to
Sample #6: Low sales rank, high number of used offers.
Sample size: 10 books
Sales rank: 20,000 to 30,000
Used offers: More than 250, less than 500
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Zero
Number with lowest FBA offer less than $7: Ten
Results: 100% of offers with more than 250 MF offers have FBA offers below $7.
Sample #7: Medium-to-low rank, medium number of used offers.
Sample size: 10 books
Sales rank: 70,000 to 100,000
Used offers: 100 to 150
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Two
Number with lowest FBA offer less than $7: Eight
Results: Only 20% had offers over $7.
Sample #8: Low-to-medium rank, low-medium number of used offers.
Sample size: 10 books
Sales rank: 70,000 to 100,000
Used offers: 50 to 100
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Five
Number with lowest FBA offer less than $7: Five
Results: 50% have FBA offers over $7. Getting the MF offers under 100 causes a huge jump in FBA value (a jump from 20% to 50%).
Sample #9: Medium rank, medium-high number of used offers.
Sample size: 10 books
Sales rank: 300,000 to 500,000
Used offers: 100 to 150
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Zero
Number with lowest FBA offer less than $7: Ten
Results: None of the books sampled had offers over $7. In fact, none had offers over $4.50
Scenario #10: Medium rank, medium-low number of used offers.
Sample size: 10 books
Sales rank: 300,000 to 500,000
Used offers: 50 to 100
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Three
Number with lowest FBA offer less than $7: Seven
Results: 30% of the books sampled had offers over $7.
Sample #11: Medium rank, low number of used offers.
Sample size: 10 books
Sales rank: 300,000 to 500,000
Used offers: Under 50
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Seven
Number with lowest FBA offer less than $7: Three
Results: Huge jump here: 70% of the books sampled had offers over $7 when the number of MF offers drops below 50.
Sample #12: Medium-poor rank, low number of used offers.
Sample size: 10 books
Sales rank: 750,000 to 1 million
Used offers: 30 to 50
Used non-FBA price: One penny.
Number with lowest FBA offer more than $7: Six
Number with lowest FBA offer less than $7: Four
Results: Even at these not-very-good sales ranks, 60% have offers over $7 when the number of used offers is under 50.
What about books ranked worse than 1 million?
This is the strata where I get less interested in pricing penny books at $7 and up. It doesn’t mean I won’t do it, I’m just not going to spend time clicking through and determining my FBA competition with these more poorly ranked books. Generally, I’m looking for books where I can hold the top spot at a price of $7 or up.
Examining The Penny Book Profits Project: What have we learned?
A lot.
The data samples here are at least within range of most of the scenarios you’ll encounter in the field, and give us some extremely useful (and profitable) insights.
I’ll sum it up as concisely as I can,
When you scan a book, if you see…
More than 250 used copies: These rarely have $7+ FBA offers. The peak percentage is 30%, for books ranked better than 5,000.
100 to 150 used copies: Have $7+ offers over 50% of the time up to a sales rank of 10,000. Worse than that, the percentage drops dramatically.
50 to 100 copies: Have $7+ FBA offers 50% or more of the time up to a sales rank of 100,000.
Fewer than 50 copies: Has $7+ FBA offers over 50% of the time up to a rank of 1 million (the worst rank studied).
And that’s it: The magic formula for knowing when a penny book is worth clicking over to
The takeaway of which is: There is still money in penny books. If you know what to look for. The secrets lie in the data.
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Thanks for researching this so I don’t have to. Again, you’ve answered a question that I didn’t even ask yet.
Whoa!! That’s an amazing study!! Thank u so much Peter!!! It’s gonna help my sourcing big time. U rock! ☺️
GREAT post!
This is similar to the method I have been using but way more in depth. thanks. One thing this makes me wish for is the ability to set triggers in FBAScan based on # of offers and rank.
I cannot tell you how much this made my day. Thank you for your painful and excruciating sacrifice in obtaining this data. Pure awesomeness.
Awesome, thanks for this feedback. I was concerned this would go over people’s heads but my fears have been put at ease.
That was an impressive show of penny book profit gumshoeing. Many thanks. Was at a library sale yesterday and your tactics have already made an impact on my buying habits, even though I don’t fully grok them yet. I was using Profit Bandit but don’t know what to use now that they’ve gone monthly so it’s Amazon Seller app and Amazon Flow for now.
You can continue to use profit bandit if you paid the one time fee as long as you don’t upgrade and if you ever have problems with the app stopping working I just email them and let them know and they always fix it for me .
The mad scientist of FBA strikes again. Thank you Peter great info as always. Back to the lab with you then.
Great article. I’m looking for a scanning app and was wondering if there is one that this info could be programmed into. Any thoughts?
I do know people at the scanning app companies read this, so let’s wait and see.
Peter your insights and teaching have dramatically increased my business. From your “how to books” to your discussion of technology for increasing throughput to your articles such as the one above to your guest speakers and writers, everything is well thought out and presented for the ordinary person to understand.
I highly recommend anyone wanting to better understand this business to at least invest in your books and read them over and over for the golden nuggets that lie inside waiting to be found. Thank you for all you do for the rest of us…
Hey man, I really appreciate that feedback. I do my best to over-deliver and I’m glad it’s helped you.
Hey Peter,
You are doing an amazing job with your content! I’m a huge fan of using the scientific process in business so we are kindred spirits. Thank you so much for putting the hard work into gathering data and sharing it with us. It’s people like you that make entrepreneurship tangible.
I am looking forward to the webinar and am so excited! Let me know if you ever need anything.
Sean: Flattered you refer to my scattershot methods as “scientific process.” I do hope to be more worthy of the title in the future with a similar study using sales rank history to isolate titles that stay consistently in a certain sales rank window so this will be even more accurate.
Thanks again for the great info, Peter. I am on a lot of “FBA” email lists. Yours is always very informative AND without all the “buy it now” sales tactics. Much appreciated!
Bravo, one of the most forward thinking FBA articles I’ve read in a while. This completely changes my perspective of books I’ve been passing on for years. Great work Peter!
Thanks man!
I’ve been using a little different metric to determine if I click through to see prime offers. I usually look at the lowest New mf price and if it’s over say $10-12 I’ll click through and check prime offers. It seems to me (without doing any real analysis of this) that the higher the New price, the better chance there is that I can price my FBA used offer at $8-10 (I’m assuming this is related to the “perceived value” of these books in the mind of the buyer).
If you have the ASIN’s from your original study, it might be interesting to see if there is any correlation between the ones above $7 FBA and the New MF price. It’s also entirely possible that the NEW MF books over $12 have fewer total offers available and that’s why the price of the NEW MF offers hasn’t been driven down.
Great article! Do you price differently with penny books? Or is your strategy the same as in your Amazon Autopilot ebook?
Hello, Peter! Quick question – Are you an Amazon Prime member? In other words, do you get free shipping on all of the books you purchase? Seems that would be the way to make the penny book thing work, or am I not understanding the process correctly?
Thanks for sharing your experiments with all of us!
It’s against the rules to use Prime for this purpose and I don’t use it for this reason.
How much higher would you price your books in relative to the used MF offers priced at $0.01? Obviously you would price $7.00 higher but what is highest you have gone?
I’m sure it depends on the ranking and the price of other FBA offers but would like to know as this is particularly relevant to me right now.
For a medium-rankned book (better than 600k), I would go $12+. More for a better ranked book. For a textbook, I would go MUCH higher. At least $35.