What 10,000 Sponsored YouTube Videos Show in 2026

A snapshot, not a trend line

This page uses a study of 10,000 sponsored YouTube videos. The videos ran from January 1, 2024, to July 14, 2026.

The sample has 423 known brands and 2,084 channels. It can show what was in this set. It cannot show if the full market grew or fell. We would need the same test in two time spans to say that.

How the study worked

We took a fixed random sample. If one video had two sponsors, each sponsor got part of that one video. This kept the total at 10,000.

We used a channel's usual views as its size. We did not use its fan count. The full study has the sample rules, terms, and files.

Read the full method and data.

Sponsored videos often held their usual reach

We could compare 3,170 sponsored videos from 2026 with each channel's usual views. Of those videos, 53.5% met or beat the usual level. The middle result was 105.8% of usual views.

There was a wide spread. Of the 3,170 videos:

• 497 got less than half of usual views.
• 978 got from half to just under usual views.
• 798 got from usual views to under 1.5 times usual views.
• 897 got at least 1.5 times usual views.

One mean can hide this spread. A brand should plan for more than one result.

See the full view chart.

The same brand came back in some cases

We found 1,948 brand and channel pairs that had enough time for a fair check. The same brand came back in 531 of them. That is 27.3%.

For this check, the next post had to be more than 60 days later and no more than 365 days later. This does not prove a new deal, a sale, or a good return. It only shows that the same brand came back in our sample.

Software and online tools were easy to see

Software, SaaS, and AI brands made up 18.9% of the weighted work in the sample. This group had 125 brands.

When we added close types of online tools, the share was 29.6%. That wider group had 147 brands. The same brand came back in 137 of 600 pairs that we could check. That is 22.8%.

This does not show that this group grew or spent the most cash.

See the software sponsor table.

Sponsor work showed up on many channel sizes

We used usual views to sort the channels. Here is where the 10,000 videos sat:

• 4,986 videos were on channels with under 50,000 usual views.
• 3,097 were on channels with 50,000 to 249,000 usual views.
• 1,890 were on channels with at least 250,000 usual views.
• 27 did not have a usual-view count.

This is a count of work in the sample. It is not a count of cash spent. It also does not prove that one channel size gets more sales.

See the full channel-size table.

What this study cannot tell us

The public video data does not have deal fees, brand spend, clicks, sales, profit, or return. It also does not have each deal's terms.

So this study cannot show if CPM went up. It cannot show if one deal type grew. It cannot show why a brand came back.

Budget and rate questions need other data

That range is a place to start. It is not a fee quote. A real fee must fit the brand goal, the ad plan, and the value the creator can bring.

To plan views, we use at least 10 recent videos that have had time to grow. We take out rare high and low posts. Then we find the mean of the rest.

See our full rate guide or use the budget plan.

A plain way to plan the spend

1. Pick one goal. Name the key act you want from a viewer.
2. Find the right fit. Check the topic, viewer, past work, and home country.
3. Set the ad plan. Agree on the post, ad spot, due date, checks, and report.
4. Talk about the fee. Do this after both sides see the value and agree on the scope.
5. Add extra rights. Price paid use and limits on other brand work on their own.
6. Track the goal. Set the click, sign-up, sale, or lead rule before launch.

Do not judge the plan by views alone. Link the public view data to your own sales data. Our ROI guide shows the math.