If you opened an Amazon product page this week and went looking for that little “500+ bought in past month” line — the one you’ve built your entire product research process around — you probably found nothing. A blank space. And if you’re anything like the creators emailing me about it, your first thought was that something broke on your end. Your extension. Your browser. Your account. It didn’t. Amazon quietly pulled that data off product pages, and it’s gone for everyone. Here’s exactly what happened, and the fix I built directly into Oink so you never have to research blind again.

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What Amazon Actually Changed

Amazon removed the “bought in past month” sales figure from product pages. There was no announcement, no deprecation notice, no email to affiliates. It was there, and then it wasn’t. That’s how most of these changes land — Amazon adjusts something on the storefront and the entire influencer ecosystem finds out by noticing a hole where a number used to be.

I want to be clear about this because I’ve seen a lot of panic in creator groups: this is not a tool problem, it’s not a bug, and it’s not something you did. Every research extension that scraped that number off the page — including mine — went blank at the same moment. If you were troubleshooting your setup, you can stop. Nothing on your end is broken.

Why That One Number Mattered So Much

For Amazon influencers, monthly sales was the single fastest filter in the entire research process. You’d look at a product and that one line told you whether it was worth your time. High sales meant demand was real and people were actively buying — which meant a video on that listing had a shot at converting. Low or no sales meant you’d be pouring an hour of filming and editing into a product nobody was looking for.

It was crude, but it worked, and it was free. That’s why losing it hurts so much more than it sounds like it should. Without it you’re back to gut feel — browsing categories, guessing at demand from review counts, and hoping the product you spent your afternoon on actually sells. Review count is a terrible proxy, by the way. It tells you what happened over the entire life of the listing, not what’s happening right now.

The creators who will struggle most over the next few months are the ones who never had a research system beyond that number. The ones who’ll do fine are the ones who move to a data source Amazon doesn’t control on the page.

The Fix I Built Into Oink

The moment I confirmed the data was gone site-wide, I stopped what I was working on and rebuilt how Oink sources it. Oink now pulls monthly sales through its own data server instead of reading it off the Amazon page. That’s the whole architectural change, and it matters more than it sounds: because the number no longer depends on Amazon rendering it in the HTML, Amazon changing their page layout doesn’t take your research offline.

Here’s the part I’m proudest of. There is nothing for you to do:

  • No new account to create
  • No API key to paste in
  • No settings to toggle
  • No separate subscription to a third-party data service

It’s automatic, it’s live for every Oink user, and it’s included in what you already pay. Open a product page, and the number is there again. I didn’t want to solve an Amazon problem by handing you a setup checklist.

The Data Amazon Never Gave You

Once I was building my own data pipeline anyway, replacing one number felt like a waste of the opportunity. Amazon’s monthly sales figure was always a single snapshot with no context — it told you where a product was, never where it was going. So Oink now shows you things Amazon never displayed at all:

  1. 12 months of sales history. You can see whether this month is normal for the product or an outlier. A product doing 800 sales is a very different bet if it did 3,000 last quarter.
  2. A trend signal. This is the one that changes how you pick. It tells you whether a product is climbing or dying — often weeks before the raw sales number moves enough for you to notice on your own.
  3. Listing age. How long the product has been on Amazon. A brand new listing with real momentum is a completely different opportunity than a five-year-old listing coasting on old reviews.
  4. Seller count on the listing. How many sellers share it. More on why this quietly costs you money below.
  5. A pulled-listing warning. If a product has been removed from Amazon but is still showing an old sales figure, Oink flags it so you don’t build content around something that no longer exists.

That seller count point deserves its own paragraph, because most influencers have never thought about it. When multiple sellers share a listing, the Buy Box rotates. If the seller who wins the Buy Box when your viewer clicks through isn’t the one you expected — or the listing goes out of stock on their end — your commission can evaporate on a sale you legitimately drove. Seeing the seller count before you film lets you avoid listings that are structurally leaky.

How I Actually Use This When I Research Products

I make content for Amazon myself, so this isn’t theoretical for me. My filter now runs in this order:

  1. Trend first, not volume. I’d rather film a product doing 400 sales and climbing than one doing 2,000 and sliding. Your video lives on that listing for months — you want to be early on the way up, not late on the way down.
  2. Check the 12-month shape. Seasonal spikes are fine if I’m filming into the season. They’re a trap if I’m filming right after the peak.
  3. Look at listing age and seller count. Newer listing, single seller, climbing trend — that’s the profile I chase.
  4. Confirm the listing is actually live. Takes one second now, and it saves an entire afternoon.

None of that was possible with the number Amazon used to show. Losing it genuinely made my research better, because it forced the tool to become something more than a scraper.

What You Need To Do

If you already use Oink: nothing. It’s already running. Open a product page and you’ll see monthly sales back where it belongs, plus the history and trend data alongside it.

If you don’t: the honest pitch is that Amazon just demonstrated it can remove your research data without warning, and it will happen again. The question isn’t whether you liked that free number — it’s whether your process survives the next time Amazon changes something. Watch the full breakdown below.

Stop Researching Blind

Amazon took the number away. Oink gives it back — and adds the history, trend signal, listing age, seller count, and pulled-listing warnings that Amazon never showed you in the first place. No setup, no API keys, no extra subscriptions. Get Oink for Influencers here and get back to finding products that actually pay.

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