Nothing on this page was chosen by anyone. Trending products and services are ranked by counting paid orders, with refunded orders thrown out and partial refunds netted off before anything is added up. That makes this sales ranking the least editorial page on the site and also the easiest to misread, because the product table and the service table do not measure the same thing and the page does not stop you comparing them.
Product units are total sold inventory accounts (summed subproduct sold counts, all time). The time range applies only to SMM services.
Bar charts list the top 10 groups by units sold. Tables list the top 20 products or SMM services. Totals across the marketplace may be higher.
Use volume as a signal, not a guarantee—validate stock and margins before scaling.
Compare completion and dispute rates; prioritize SKUs with healthy samples.
Keep listings accurate and respond quickly to tickets to protect your reputation.
Tips for customers
Higher volume can mean popularity, but check completion rate and sample size for stability.
Read recent reviews and shop policies before you buy.
Use tickets for order issues; keep disputes factual and concise.
AI insights (refreshed up to once per day)
Insights are generated from aggregate stats only and may lag live charts.
Supplier insight
Twitter/X accounts and email domain rentals lead sales in the past week, with Hotmail, T-online, and Edu Mail also performing strongly. In SMM services, Twitter tweet and Instagram view/like offerings generate the highest volume.
Customer insight
Customers are most active purchasing Twitter/X accounts and email domain rentals, while popular SMM services include cheap Twitter tweets and Instagram views and likes. Other notable services feature YouTube, Facebook followers, and targeted website traffic.
Where the numbers come from
Counted, Not Curated, and Refunds Do Not Count
The ranking is arithmetic over orders. That is worth stating first because it is the one thing that makes this page different from every other shelf here.
An order that came back is not a sale
A refunded order is dropped before counting, and where only part of an order was refunded the refunded amount is subtracted first. If what is left is not positive, the order contributes nothing. So a listing cannot climb by selling heavily and then handing the money back.
Nobody can flag their way onto it
There is no editorial switch behind these tables and no application to be on them. A seller changes their position here by selling, which is the whole mechanism. The page that runs on a flag someone sets is a different one.
What is capped rather than computed: the tables stop at twenty rows each and the two charts at ten buckets each. Those limits are fixed in the code, so a listing just outside the twentieth place is invisible here rather than absent from the market.
The seam most people miss
The Product Table Is Lifetime, the Service Table Is Not
Both tables sit on the same screen under the same period control. Only one of them obeys it.
Product rows
Service rows
What a unit is
One account or item marked sold from inventory.
One unit of a growth service, which is sold by the thousand.
What period it covers
All of it. The count is cumulative and the period selector does not narrow it.
The selected window only, counted from paid orders inside it.
What the revenue column shows
Zero, on every row. The count comes from inventory records that carry no money, so there is nothing to total.
Real revenue, though the per-unit figures are small because of how services are priced.
What that means for you
A long-running listing outranks a fast-growing new one, and always will.
A single large order can put a service near the top of the window.
Read from the live payload on 31 August 2026. The top service row showed 461,000 units against 116,938 for the top product row: different units, not a bigger seller.
The one line to take away: compare rows within a table, never across the two. A view count and an account count are not the same object, and neither are a lifetime total and a seven day total.
Reliability figures
Read the Sample Size Before You Read the Percentage
Each row carries a completion rate, a dispute rate, a ticket rate and an average delivery time. They are real, and on one of the two tables they rest on almost nothing.
How many orders is that percentage built on
Product rows, which are well supportedSample sizes ran from twenty-seven orders to over eighteen hundred, with a median in the mid hundreds. A completion rate on a row like that is a real measurement. All twenty rows showed full completion and only one carried any dispute at all.
Service rows, which mostly are notThe median service row rested on five orders and the thinnest on a single one. Half the table sat below five. A hundred per cent completion across three orders tells you almost nothing, and it renders identically to a hundred per cent across eighteen hundred.
Why the gap is so wide
Accounts are bought one order at a time by many buyers, so the order count grows with the unit count. Growth services are bought in enormous quantities per order, so a service can show hundreds of thousands of units off a handful of purchases. The units column and the sample column measure different kinds of activity.
What to do with a thin row
Treat the percentages on it as unset rather than as good. A dispute rate of zero over two orders is the absence of evidence. Where the sample is small, the listing page and the supplier are worth more of your attention than the row.
The recent table
The Strictest List on the Page, and Why It Is Short
Below the main tables sits a separate list of recently moving products. It is the only genuinely time-boxed product view here, and it throws a great deal away to get there.
1
Three days, ending yesterday
The window runs from three days ago up to twenty-four hours ago. Anything sold in the last day is deliberately excluded, so a sale has to survive a day before it can appear.
2
Anything disputed is removed
If a product picked up a disputed order inside that window it is dropped from the list entirely, not merely marked. This is stricter than the main table, which shows a dispute rate rather than removing the row.
3
A revenue floor applies
A product has to clear a fixed revenue threshold inside the window to qualify at all, which keeps one-off purchases out of a list meant to show movement.
4
The top twenty are excluded on purpose
Anything already in the main product table is left out, so this list is specifically what is moving now among listings that are not perennial leaders. It is where a genuinely new listing shows up first.
The limit of the signal
A High Position Is Evidence About Other Buyers, Not About You
A high position here is evidence that other people completed orders and kept them. It is not evidence about the listing you are about to open.
Volume is not suitability
The largest sellers on this site are bulk listings, and the counts reflect that. A listing at the top of the table may be sold in quantities and formats that make no sense for one buyer. The ranking answers how much moved, never whether it suits you.
The row is not the listing
Delivery format, warranty window, stock and what the title actually promises are all on the listing page and none of them are in the table. A ranking built from order counts cannot tell you what arrives, so the reading you would do on any other shelf still has to happen here.