Every affiliate marketer wants a number to aim at. What conversion rate is good? The honest answer is that most published figures measure different things and few of them are real benchmarks. So here is the cleanest version I can give you: the industry data that actually holds up, plus our own early numbers from funn.to, with the small-sample caveats left in instead of edited out.
What counts as a "conversion rate" for Amazon affiliates in 2026?
Before any number means anything, you have to know which number people are talking about, because "Amazon affiliate conversion rate" gets used for three completely different things.
The first is content-to-Amazon click-through rate (CTR): out of everyone who lands on your page, how many click a link that sends them to Amazon. The second is affiliate click-to-sale conversion: out of the people who reach Amazon through your link, how many buy something inside the cookie window. The third is Amazon's own on-site conversion rate, which is about Amazon's checkout doing its job and has nothing to do with your content.
funn.to measures the first one, and only the first one. We track a landing page visit and whether that visit clicks through to Amazon. That is it. We cannot see whether the person bought, because Amazon does not hand affiliates purchase-level conversion data. So when I show you our numbers later, read them as CTR, not sales. Every honest discussion of this topic has to start here, and most posts online quietly blur the three because it makes the numbers look better.
This post pulls together the best Amazon affiliate conversion rate benchmarks for 2026 I could find, published industry data plus our own early funnel numbers, and keeps the three metrics separate the whole way through.
What does published data say Amazon affiliates actually earn per click?
Here is the frustrating part: Amazon publishes no official EPC, CTR, or conversion data at all. Nothing in the dashboard exposes earnings per click. So every figure you have ever read comes from third parties stitching together their own tracking, and most of it is a few years old.
The best measured source I know of is Geniuslink's aggregate analysis, built from more than 400,000 clicks and about $40,000 in commissions across 40-plus programs in Q1 2022. In that dataset, Amazon.com converted at 11.1% of the clicks that reached Amazon, roughly 5x the 2.3% cross-program average. That is a genuinely strong conversion rate once someone lands on Amazon. But the earnings per click told a different story: Amazon's EPC came in around $0.096, about ten cents. Great conversion, low payout, because Amazon's commission rates are small (mostly 3-4.5% for typical content niches).
That 11.1% lines up with Amazon's own on-site numbers. Industry estimates, mostly tracing back to AdBadger, put Amazon's site-wide conversion around 9.5-9.9%, against roughly 1.3% for non-Amazon ecommerce. I would treat the AdBadger figure as a well-known benchmark rather than a controlled study, since the methodology was never fully published. Still, multiple sources land in the same neighborhood, so directionally it holds: Amazon's checkout, saved payment, and Prime membership convert shoppers at several times the rate of a normal store.
What is a realistic content-to-Amazon click-through rate?
This is the softest of all the benchmarks, and the one most relevant to what funn.to actually does.
Across all affiliate links, industry estimates put average CTR somewhere around 0.7-1.2%. The common rule of thumb, usually attributed to AWIN, is that 0.5-1% is good and anything above 1% is excellent. That baseline is low because it lumps in banner ads, sidebar links, and links buried in content nobody reads with buying intent.
Placement changes everything. Publishers who put affiliate links inside product reviews self-report CTRs of 3-8%, and heavily optimized buyer-intent pages have been cited as high as 17%. I would take the high end as anecdotal, since these are individual publishers reporting their own best pages, not a controlled sample. One thing to keep straight: none of this is Amazon's on-site sponsored-ad CTR, which sits around 0.58% and measures a completely different thing (ads on Amazon's own search results, not your content sending people to Amazon).
What CTR are we actually seeing on funn.to funnels? (our early data)
Now our own numbers, with every caveat I can fit in.
Across 7 real funnels since launch (roughly April to July 2026), we have logged 101 visits and 48 clicks through to Amazon. That is a weighted CTR of about 47.5%.
That number is high, and I am not going to pretend it is a benchmark you should expect to hit. It is high for one specific reason: the traffic is warm. These are creators sharing their own funnels with their own audiences, people who already trust the person doing the recommending. Warm traffic behaves nothing like cold search or social traffic. On top of that, 101 visits is a tiny sample. A handful of clicks either way swings the percentage a lot. So read 47.5% as directional early data from a small warm-audience test, not as "funn.to funnels convert at 47%." And, again, this is CTR to Amazon. I have no idea how many of those clicks turned into purchases, and neither does any affiliate tool, because Amazon does not expose it.
How does warm funnel traffic compare to cold traffic in our numbers?
The aggregate hides an important spread, so let me lead with the coldest, largest sample we have instead.
One pending product (ASIN B0CTJGJL2T) has pulled 401 visits and 103 clicks, a CTR of about 25.7%. That is our biggest single sample by far, and its traffic is colder and more mixed than the warm creator-shared funnels. I trust 25.7% as a more representative baseline than the 47.5% aggregate, precisely because it is bigger and less curated. It is still well above the 1% generic affiliate CTR, but it is roughly half of the warm aggregate.
That gap is not noise, or at least it is consistent with what the research says should happen. Across multiple sources, email and warm traffic convert somewhere around 2.5-5x higher than cold social. Our own pattern, a very high warm aggregate sitting next to a lower cold sample, points the same way: warm traffic clicks noticeably more than colder traffic. I would not read our specific ratio as landing inside that 2.5-5x band, the sample is too small for that, but the direction is exactly what you would predict.
Do cheaper, simpler products really convert better than expensive tech?
Our per-product numbers hint at the same price and category pattern the research describes, and they also show the exceptions.
At the top of our CTR list: a Zerodeko napkin holder at 79.5% (39 visits) and an INNOD bookshelf at 61.5% (78 visits). Cheap, simple, low-risk, exactly the kind of thing the "cheaper converts better" heuristic predicts. But then look at the UGREEN NAS DXP4800, expensive networking hardware, at 68.1% (47 visits), and a Dyson PencilVac at 41.2% (17 visits). Expensive tech can still click well when the audience is pre-sold on it. So the price effect is real but not absolute, and a warm audience clearly overrides it.
The measured research backs the general pattern. Sellics data from Amazon Sponsored Products (aggregating over $3.2B in ad revenue) showed Health & Household converting on-Amazon at 14.6% versus 6.4% for Electronics. Practitioners repeat a rough $60-300 price sweet spot, the logic being that cheap items get impulse-bought while a $500 gadget triggers days of research. I believe the pattern. I do not believe our per-product numbers prove it, because our samples run from 17 to 78 visits each. Those are far too small to be conclusive about anything. Treat them as texture, not evidence.
Does sending traffic through a funnel beat linking straight to Amazon?
This is the real strategic question, and the honest answer is "sometimes."
The best measured evidence comes from Geniuslink's A/B tests, where an intermediary "Choice Page" beat direct Amazon links by roughly 2x EPC on average, up to 4.2x for some clients. That sounds like a slam dunk for funnels. It mostly is not. A Choice Page is a retailer-selector and geo-routing page, so much of that lift comes from sending international traffic to the correct storefront, not from persuasion copy. And Geniuslink sells that product, so vendor bias applies. Their geo-routing-only tests lifted EPC around 38%, which tells you how much of the gain is plumbing rather than copywriting.
The counterweight matters just as much. Amazon converts at roughly 10% on its own, and the standard cookie is only 24 hours (extending to 90 days only if the item is added to cart). Every extra click and every second of delay a funnel adds is a chance to lose the visitor before the cookie is even set. So a funnel is not free. It has to earn back the friction it introduces by matching the page tightly to what the visitor actually wants. I dig into that trade-off more in the landing page vs blog post piece.
Why can't we (or anyone) show you a true purchase conversion rate?
Because the purchase happens entirely on Amazon's side, and Amazon keeps that data.
When someone clicks your link, Amazon sets a 24-hour cookie (90 days if they add the item to cart), and it credits you for whatever they buy across that session, not just the product you linked. All of that logic, the cookie, the cart, the crediting, runs on Amazon's servers. Affiliates get commission reports after the fact, not per-click purchase outcomes tied back to a specific landing page visit.
That is why every "Amazon affiliate conversion rate" figure online is either Amazon's on-site data or a third-party estimate. Nobody has the clean pipe from "this visitor saw this page" to "this visitor bought." I would rather tell you plainly what we can and cannot measure than dress up a CTR as a sales conversion rate, which is what a lot of generic AI-written affiliate content does. We measure clicks to Amazon. We stop there because Amazon stops us there.
What benchmarks should you actually hold your own funnels to in 2026?
Pulling both sources together, here is what I would aim for.
- Beat the ~1% generic affiliate CTR baseline. If your page is sending fewer than 1 in 100 visitors to Amazon, something is off with the match between your content and the product.
- Expect 3-8% on a decent review or buyer-intent page. That is the realistic band for content written for people who are already shopping.
- Treat anything above 15% as warm-audience territory. Our own early aggregate sits well above that, around 47.5%, because it comes from people sharing with an audience that already trusts them. If you are hitting double-digit CTR on cold traffic, you have something unusual.
I want to be clear that our numbers are a live experiment, honestly reported, not a finished benchmark. The sample is small, the traffic is warm, and I expect the aggregate to drift down as more cold traffic comes through. That is fine. I would rather show you real early numbers with their flaws than borrowed ones with none.
If you want to see your own CTR instead of arguing about averages, generate a funnel on funn.to and watch what it does. That is the only benchmark that matters for your products and your audience. If you are new to this, start with how to make money with Amazon affiliate funnels and what is an affiliate funnel.