If you've ever run a Facebook ad pointing at your Amazon book page, you'll know the particular flavour of despair that comes with the reporting. You can see the clicks. You can see the money leaving your account. What you cannot see — and what Facebook's pixel cannot see either, because Amazon doesn't allow it on product pages — is whether any of those clicks turned into an actual sale.
You're paying for traffic you can't measure.
Which is why Amazon Attribution, despite sounding like something a tax adviser would mention, is probably the most useful free tool in indie author marketing that nobody talks about.
What Amazon Attribution actually is
Amazon Attribution is a reporting tool run by Amazon Ads. You use it to generate tracking links — they call them "attribution tags" — which you paste into your Facebook ads, newsletter emails, BookBub listings, tweets, or anywhere else you're pointing people at your Amazon book page.
When someone clicks one of those tagged links and lands on Amazon, the tool records what happens next. Did they view the detail page? Did they add the book to their cart? Did they actually buy it? And if they did, how much did that sale generate?
It's the thing Facebook's pixel would do, if Amazon let Facebook's pixel anywhere near the place. It doesn't, so Amazon built its own version. And — against all odds — made it free.
Who can use it
For a long time this was a vendor-and-seller-only toy. In 2021 Amazon opened it up to KDP authors in the United States, and has gradually extended access to the UK, Germany, France, Italy, Spain, Canada, and a handful of other markets. If you're a KDP author in any of those territories, you can almost certainly get in.
The path is: sign into your Amazon Ads account (the same one you use for Sponsored Products), and you should find Amazon Attribution listed under Measurement and Reporting. If you don't already run Amazon Ads, you'll need to set up an advertising account first — it's free to open, you don't have to run any actual ads to use Attribution.
There are no fees. No minimum spend. No clever catches. This is genuinely one of those rare cases where the sensible move is to take what's being offered and not ask too many questions.
What it actually tells you
The core report gives you, for each attribution tag you've created, numbers on the following:
- Clicks — how many people clicked your tagged link
- Detail page views — how many of them actually made it to your Amazon page
- Add to carts — how many added the book to their basket
- Purchases — how many completed a sale
- Sales — the total revenue generated
You can slice the data by tag, which means you can compare your Facebook audiences against your newsletter, and both against your BookBub promo, and work out which channel is actually pulling its weight. Not based on vibes. Based on pounds.
A word of warning: the reporting runs on a 14-day attribution window, so if someone clicks your ad today and buys the book next Tuesday, the sale still gets credited to your tag. This is good, because it catches the realistic buying journey. It's also slightly confusing when you're checking the numbers on day one and seeing nothing — give it time before drawing conclusions.
The KU gap
Honest moment: Amazon Attribution reports on purchases. It does not, at the time of writing, report on Kindle Unlimited borrows or page reads. If your book is in KU and a big chunk of your income comes from KENP, Attribution will undercount the real impact of your ads.
This is frustrating but not fatal. What you can do is layer the Attribution data against your KDP dashboard — if you see a spike in page reads on days when your tagged Facebook ads were running, the two are probably related even if the tool can't formally connect them. It's not forensic accounting, but it's a lot better than the nothing you had before.
How to actually use it
The workflow, once your account is set up, looks roughly like this:
- Create a new campaign inside Attribution and give it a sensible name. "April FB Thriller Promo" is fine. "Campaign 47" in a year's time is unreadable.
- Generate a tag for each unique traffic source — one for your Facebook ad, one for your newsletter, one for your BookBub feature, and so on. Separate tags are the whole point; don't reuse one across channels.
- Copy the tracking URL it gives you and paste it into your ad, email, or listing in place of the raw Amazon link.
- Run your campaign as normal.
- Check the Attribution dashboard a few days later and see what the numbers say.
That's the entire operation. No code. No pixel installation. No third-party services.
What the data will probably show you
Brace yourself. The numbers are often uncomfortable.
Authors who start measuring properly for the first time tend to discover that the Facebook ad they thought was working is quietly burning money. Or that the newsletter they assumed was their strongest channel has mediocre conversion. Or, occasionally, that some obscure blog mention drove more sales than the paid campaign they spent a fortune on.
This is uncomfortable in the short term and extremely useful in the long term. You can only make better marketing decisions if you know what's actually happening, and for most indie authors, Amazon Attribution is the first time they've had that visibility into the external-traffic-to-Amazon-sale pipeline.
It also changes how you think about creative. If you can see which ad variation produced the most detail page views and which produced the most actual sales, you can stop guessing about copy and imagery and start testing with something to measure against.
What it won't fix
Attribution is a measurement tool, not a marketing strategy. It tells you what's working; it does not tell you why, or what to do about the channels that aren't. If your book cover doesn't match its genre, or your blurb is flat, or your categories are wrong, Attribution will calmly and accurately report that none of your traffic is converting, and you'll still have to go and fix the underlying problem.
Which is rather the point. Measurement exposes the real job. Paid traffic amplifies what's already working and exposes what isn't — Attribution just makes that exposure painfully quantifiable.
If you want a structured way to get the fundamentals right before you start pouring money into ads — cover, blurb, categories, launch sequence, the lot — WIPsage is built for exactly that. Turn on Attribution regardless. You'll want the data either way.