Can I get SubID (ascsubtag) tracking with Amazon Associates?

Almost certainly not. Amazon rarely provides ascsubtag access to publishers, which is why third-party tools can't attribute Amazon conversions to specific clicks the way they can for networks like Awin or Impact. Unless you have a special high-volume arrangement, your finest available granularity is the tracking ID. Other affiliate networks support real SubIDs; Amazon is the outlier here.

How can I estimate per-page Amazon earnings?

By click share. Amazon gives you total earnings per tracking ID; your own click tracking gives you each page's share of the clicks under that tag. A page's share of the tag's clicks approximates its share of the tag's earnings, so tag total × page click share ≈ page earnings. It's an estimate — it assumes similar conversion across pages in the tag — not a recovery of sealed data. But it's the best per-page number available, and tighter per-vertical tags make it more accurate.

Why Amazon Won't Show Per-Page Earnings (and How to Estimate Them)

Q: Why doesn't Amazon show which page earned?

Because Amazon reports earnings by tracking ID, not by page, and the parameter that would allow true per-click attribution — the SubID, or ascsubtag — is almost never granted to ordinary Associates. Access depends on your relationship with Amazon and effectively requires high-volume, special arrangements. So tracking IDs act as 'static SubIDs': you can attribute to a site or section by tagging it, but never to an individual page directly.

Q: Did Amazon's affiliate reporting get worse in 2026?

Yes. Beyond the long-standing SubID gap, reports in 2026 indicate Amazon further obscured order-level data — showing the product that was clicked rather than what customers actually ordered, leaving many affiliates with little more than a topline earnings number and a click count. That makes the per-page question harder, not easier, and increases the value of tracking your own first-party click data.

Every affiliate eventually asks the same question: which of my pages actually earns? On Amazon, the answer is frustrating — Amazon won't tell you, and it can't be fully recovered by any tool. But it can be estimated honestly from data you already have. This piece explains why the gap exists, what's genuinely sealed off, and the method that gets you a usable answer anyway.

Why the gap exists

Amazon reports earnings by tracking ID, never by page. The parameter that would allow true per-click, per-page attribution is the SubID — Amazon calls it ascsubtag — and Amazon rarely grants it to publishers. Access "depends on your personal relationship with Amazon Associates," which in practice means high-volume, special arrangements most creators will never have. This is exactly why third-party tools can attribute conversions cleanly for networks like Awin (clickref) or Impact (subId), but not for Amazon: those networks expose real SubIDs, and Amazon doesn't.

So your finest available granularity is the tracking ID, which functions as a "static SubID": tag a site or a section, and you can attribute earnings to that segment — but never to an individual page, because every page under a tag shares the same one.

And it got harder in 2026. Beyond the long-standing SubID gap, reports this year indicate Amazon further obscured order-level data, showing the product that was clicked rather than what customers actually ordered — leaving many affiliates with little more than a topline earnings figure and a click count that doesn't say which article drove it. The direction of travel is clear: Amazon shares less, not more.

What's genuinely unrecoverable (be wary of anyone who says otherwise)

Here's the honest boundary, because it matters. Some data is sealed at the platform level: true per-click SubID attribution and, increasingly, order-level detail. No third-party tool can reconstruct these — anyone claiming to hand you Amazon's hidden per-click data is confused or selling you something. A trustworthy approach starts by admitting what can't be known, then makes the most of what can.

The fix: estimate per-page by click share

You don't have Amazon's per-page earnings. But you do have two things: Amazon's earnings per tag, and — if you track your own outbound clicks — each page's share of the clicks under that tag. Put them together:

Amazon won't tell you what a single page earns \u2014 only what a whole tag earns. But you own the other half: which pages generate the clicks under that tag. A page's share of the tag's clicks approximates its share of the tag's earnings, turning one tag total into per-page estimates. It's an estimate, not a reconstruction of sealed data \u2014 and it's the best per-page number available.

A page's share of a tag's clicks approximates its share of that tag's earnings. If site-kitchen-20 earned $200 this month, and Page A drove 60% of the kitchen clicks, Page B 30%, and Page C 10%, you estimate roughly $120 / $60 / $20. One tag total, distributed into per-page estimates by the click data you own.

To be clear about what this is: an estimate, built from data you have — not a recovery of sealed data. It rests on an assumption (that pages within a tag convert similarly) that isn't perfectly true, and it's muddied by indirect cart sales. But it's directionally reliable, dramatically better than a topline number, and it's the best per-page figure anyone can honestly offer.

How to make the estimate better

The accuracy of click-share estimation depends on how tight your tag populations are, so a few moves sharpen it:

Tag per vertical, not just per site. The narrower and more similar the pages sharing a tag, the more uniform their conversion, and the better click share approximates earnings share. A site-kitchen-20 tag estimates its pages far better than one account-wide tag.
Track clicks first-party. You need clean, per-page click counts on your outbound Amazon links — which is a tracking job, and one you fully control.
Judge on settled earnings. Feed the estimate with shipped-and-kept earnings, not optimistic ordered numbers, so the per-page EPC you get is honest.

This is precisely what Clickolytics is built to do, and why the whole product exists: it tracks every outbound Amazon click first-party — page, product, tag — imports your Amazon earnings per tracking ID, and distributes those earnings across your pages by click share to produce a per-page EPC estimate. It doesn't pretend to recover Amazon's sealed data; it turns the two things you legitimately have into the page-level answer Amazon refuses to give. That honest estimate is the difference between optimizing your content and guessing at it.

The per-page answer Amazon won't give: Clickolytics estimates each page's Amazon earnings from your first-party clicks and per-tag earnings — an honest estimate, not a false promise. See how it works →

The bottom line

Amazon won't show per-page earnings because it almost never grants the SubID that would make it possible, and 2026 has only tightened what it shares. Some of that data is sealed for good — no tool recovers it, and you should distrust any that claims to. But you're not stuck with a topline number: with per-vertical tags and your own first-party click data, click-share estimation distributes Amazon's per-tag earnings down to the page, honestly and usefully. It's an estimate, clearly labeled as one — and it's the closest thing to per-page truth the Amazon program allows.

Frequently asked questions

Why doesn't Amazon show which page earned? It reports by tracking ID, not page, and rarely grants the SubID (ascsubtag) needed for per-click attribution. Tracking IDs are "static SubIDs" — per-segment, never per-page.

Can I get ascsubtag access? Almost never — it depends on a special high-volume relationship. Other networks expose real SubIDs; Amazon is the outlier, so your finest granularity is the tag.

Did 2026 make it worse? Yes — reports indicate Amazon further obscured order-level data, leaving mostly topline earnings and clicks, which raises the value of first-party click tracking.

How do I estimate per-page earnings? Click share: tag earnings × a page's share of the tag's clicks ≈ that page's earnings. An estimate (assumes similar conversion), not a recovery of sealed data. Tighter tags improve it.