Why does one video get all the affiliate clicks, and the rest get none?
One or two uploads seem to drive every affiliate click while the rest sit at zero. Here's what's going on, and how to tell a real pattern from a measurement blind spot.

Pull up your affiliate dashboard and you'll usually see the same shape. One video carrying most of the clicks. A handful doing something modest. A long tail sitting at zero.
It looks broken. Like something's misconfigured, or your catalog just isn't working.
Most of the time it isn't. It's two things layered on top of each other: a well-documented pattern in how audiences click, and a measurement problem that makes that pattern look far more extreme than it is.
Both are fixable. Here's how to tell which one you're looking at.
The short answer
A small share of videos usually drives most affiliate clicks. Search intent, link placement, and topic fit vary a lot between uploads, and that gap compounds over time.
But if every video shares one identical shortened link, you can't measure any of this. You're looking at one pooled number, not a per-video pattern. The "zeros" you're worried about might not be zero at all.
That second part is the one that surprises people. There's a real pattern here (concentration), and there's a separate measurement artifact (pooling) that hides how concentrated things actually are. Most creators are dealing with some of both.
Reason 1: search intent versus entertainment intent
Not every viewer shows up wanting the same thing.
Someone who searches "best budget mic for podcasting" and lands on your comparison video is already shopping. They've done the research. They want the thing that helps them decide.
Someone who clicked because your thumbnail was funny isn't in that headspace, even if the same mic shows up in the video.
Same product, same link, two completely different visitors. One's close to a decision. The other's just watching.
That's why a "top 5 gifts" roundup can out-convert a video with ten times the views. The bigger video isn't worse. Its audience just showed up for a different reason.
Videos built around a specific decision - best X for Y, X vs Y, an honest review - pull in people already close to clicking something. Vlogs and broad trend content pull in people there for the content itself. Both are fine formats. Only one of them reliably sends clicks.
Reason 2: where the link actually sits
YouTube truncates every description behind a "show more" toggle, on mobile and desktop both. A lot of viewers never tap it.
Bury your link in paragraph three and a chunk of your audience never learns it exists. They didn't consider clicking and pass. They don't know there's anything there.
There's a second factor stacked on top of this: does the video say it out loud? "Link's in the description," spoken the moment the product shows up, reaches viewers who were never going to read anything. A video that never says it is relying entirely on people who read carefully - a smaller group than most creators assume.
Two videos with similar audiences can post wildly different click numbers for reasons that have nothing to do with the pitch itself.
Reason 3: evergreen traffic versus a launch-day spike
Most creators picture clicks arriving in the first 48 hours, then tapering off. Some videos do behave that way. Plenty don't.
A tutorial that ranks in search keeps getting found long after it publishes, sometimes for years. It never spikes hard enough to notice on a weekly check. It also never really stops.
Add that trickle up across a year of uploads, and a video from eight months ago - one you've mentally filed as done - can quietly out-earn something you posted last week. Peak-times data per video is the only way to catch this; a weekly glance at total clicks won't show a slow, steady trickle.
Older uploads dominating a click chart usually aren't more popular. They're just still being found.
Reason 4: how closely the video matches the offer
A video can feature a product without being about it, and that gap changes everything.
A dedicated review answers exactly the question a shopper has. A "day in my life" video where the product happens to be visible answers a completely different question, for a completely different person.
Both videos can show the same product. Only one was made for someone deciding whether to buy it. The tighter that fit, the higher the click rate tends to run, independent of views or production quality.
A small, narrow video regularly beats a big, loosely-related one for exactly this reason. Same mechanism as search intent, just showing up at the level of one video's content instead of its traffic source.
Reason 5: the problem that hides all of the above
Here's the one that makes everything above impossible to check. Paste the same shortened link into every description and every click collapses into a single number.
You can watch that number climb. You can't tell which upload earned any part of it.
The zeros on your worst-performing videos might genuinely be zero. Or that video's clicks might be sitting inside the same pooled total as forty others, indistinguishable from all of them.
Reasons 1 through 4 are genuine effects. But without a distinct tracked link per video, you can't separate them, and you can't tell whether "most videos get nothing" is true or just unmeasured.
Stop guessing which video converts goes deeper on this specific failure. Short version: the fix isn't a new destination for every video. It's a distinct tracked placement per video, pointing at the same destination, so every click gets credited to the upload that earned it.
A worked example
Say you've mentioned the same headphones in four videos this year: a dedicated review, a gift-guide roundup, an unboxing, and a vlog where you happen to be wearing them.
Paste the same link into all four descriptions and your dashboard shows one number. No way to split it. No way to know if one video's carrying the whole thing or it's spread evenly.
Tag each placement separately and a pattern usually shows up. The review, despite the most views, might convert modestly - some of that audience is there for the review format, not to buy. The gift-guide roundup, published in December with a fraction of the views, might convert far higher, since anyone watching a gift-idea video that month is already shopping. The vlog mention might sit at zero, since nobody watching a day-in-the-life video came looking for headphones.
None of that shows up pooled together. All four just read as "clicks."
Symptom to likely cause
A quick way to sanity-check what you're looking at:
| What you're seeing | Most likely cause |
|---|---|
| One video has huge clicks, rest are near zero | Genuine concentration (search-intent or evergreen video), or every video shares one link and you're only seeing the total |
| Clicks don't match view count at all | Normal - search-intent videos convert well above their view count, entertainment content well below it |
| An old video still shows up as "top performer" | Likely evergreen search traffic - check whether it still ranks for its core keyword |
| Every video shows the exact same click count | Near-certain sign the link isn't tracked per video, just pooled |
| A recently viral video shows low affiliate clicks | Expected when the topic and offer don't closely match |
If your answer to "which video drove this click" is "I don't know," that's the pooling problem, not a concentration pattern. Fix that first.
What to do about it
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Check whether you're looking at a real pattern or a measurement gap. If every video mentioning a product shares one shortened link, you don't have per-video data - you have one combined total wearing a per-video costume. How to organize YouTube links covers the system: one destination, a distinct tracked placement per video, same URL underneath, separate numbers on top.
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Tag your back catalog, not just new uploads. The videos most likely quietly overperforming are old ones you've stopped thinking about. Retagging existing descriptions is what surfaces months of history a new link never will.
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Give it time before drawing conclusions. Two to four weeks, a handful of videos, minimum. Any single upload's click rate is noisy on its own.
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Rank by clicks, not views. Compare that against which videos you'd have guessed from view count alone. The gap between the two lists is usually where the insight lives.
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Match the pattern to a reason. A comparison video near the top confirms search intent. An old tutorial still pulling clicks confirms evergreen traffic. Views with no clicks usually confirms a content-to-offer mismatch, not a broken link.
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Make more of what's working, not what looks biggest. Once you know the format and topic combination driving clicks, that's a decision for future uploads - not a guess based on which video felt most popular.
Common mistakes when diagnosing this
Assuming a zero is really a zero. If a link is shared across dozens of videos, "zero clicks shown" often just means "not tracked separately." Check for shared links before writing a video off.
Judging by raw clicks instead of click-through rate. 200,000 views and 400 clicks looks better than 8,000 views and 150 clicks, until you compare against views - the smaller video is converting ten times higher. Raw counts favor big videos by default.
Changing several things at once. Move the link placement, rewrite the CTA, and add a verbal callout in the same batch, and you'll never know which one mattered. Test one variable at a time.
Drawing a conclusion from one video. A single upload's numbers are noisy. The pattern only holds once it repeats across several videos of a similar format.
Fixing the description before fixing the measurement. Rewriting placement and CTA is wasted effort if you still can't tell which video gets credit afterward. Track first, optimize second.
Is concentration actually a problem?
Not by itself. Most creator income concentrates this way, across almost any monetization method.
The problem is not knowing which videos those are, or assuming it's your most-viewed upload when it usually isn't. Concentration you can see is just information. Concentration you can't see, because every video shares a link, is what costs you.
The goal isn't spreading clicks evenly across everything you've made. It's knowing exactly which videos are carrying the weight, so you can make more like them on purpose.
Study what your top few videos have in common - format, topic, whether the link gets said out loud - and lean into it. That's a strategy. "Post more and hope" isn't.
Frequently asked questions
Is it normal for most of my videos to get zero affiliate clicks?
To a point, yes. A long tail of low- or no-click videos is normal, especially loosely-related content. Worth checking whether those are truly zero or just sharing a link with others.
Why does an old video sometimes outperform a new one?
Evergreen search traffic. Tutorials keep getting found long after publish day, building a slow click rate a newer video hasn't had time to earn yet.
Does view count predict affiliate clicks?
Not reliably. Views measure attention. Clicks depend on search intent, placement, and how closely the topic matches the offer.
How do I know if I have a real pattern or a tracking problem?
If every video mentioning a product shares one link, that's a tracking problem. Fix it with a distinct tracked placement per video, same destination, separate numbers.
Should I put affiliate links in every video?
Only where the topic fits. A link that's a stretch tends to sit at zero regardless of tracking. Fit beats coverage.
Does saying the link out loud make a difference?
Usually. A verbal callout reaches viewers who won't read the description at all - a real share of any audience, given YouTube's truncation.
How long before I can judge whether a video is "working"?
At least two to four weeks, across several videos of a similar format rather than just one.
What's the single highest-leverage fix here?
Per-video tracked links instead of one shared shortened URL. Everything else only becomes actionable once you can see which videos are responding.
Can a low-view video really outperform a viral one?
Regularly. A narrow, high-intent video can convert several times higher than a broad, high-view one. Views and buying intent measure different things.
Should I worry if one video drives most of my affiliate income?
Not on its own. Understand what that video does differently and apply it deliberately to future uploads.
Is this different for Shorts versus long-form?
Same mechanics - search intent, placement, topic fit - but Shorts barely have a visible description, so a verbal callout or pinned comment matters even more there.
The takeaway
A handful of videos driving most affiliate clicks is a real pattern, shaped by search intent, placement, evergreen traffic, and how well a video's topic matches what it's linking to.
But that pattern only shows up with per-video click data. Share one link across every description and you're not looking at a ranking - you're looking at one number split invisibly across however many videos mention it.
Fix the measurement first. Then the concentration itself turns into something useful: a short list of formats worth making more of, instead of a wall of zeros that looks broken.
Want to see this on your own channel? GoloLink's free tier tags every video with its own link automatically, no card required. Not tracking yet? Check your outbound click-through rate on any video with the free YouTube CTR calculator.