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Demand Research

How to Find Demand on YouTube

YouTube is the second-biggest search engine, and its public view counts are a demand meter you can read for free if you know what to compare them against.

By the Does This Make Money Team

Published September 9, 2026·8 min read

beginner

Most people open YouTube to watch something. If you want to make money online, you should also open it to read something: the demand signals sitting in plain sight on every video, every search box, and every comment section. YouTube is the second-biggest search engine after Google, and unlike almost every other platform, it shows you a public number next to each piece of content telling you how many people wanted it.

That view count is a demand meter. The trick is knowing what to compare it against so the number actually means something.

The short version

A view count on its own tells you very little. Ten thousand views could be a massive win or a quiet flop depending on whose channel it is. The signal you want is a video that got far more views than that channel usually gets. That gap is the platform telling you a topic overperformed. Stack that up with search autocomplete (what people type), the comments (what they still want to know), and a scan for topics where the existing videos are weak or old, and you have a repeatable way to find things people are actively looking for. Then you turn those findings into content and offers.

Where does the money actually come from?

Finding demand is the first step, not the payday. Here is the chain it feeds into.

A topic lots of people search on YouTube
  ↓
You make the content (or a page) that answers it
  ↓
Viewer clicks through to your site, video, or offer
  ↓
They buy a product, book a service, or join your list
  ↓
Commission, sale, or a subscriber you can sell to later

The money does not come from the view count itself unless you are large enough to earn ad revenue. For most people, the value is that the view count told you what to make before you spent weeks making it. You are using free public data to reduce the odds of building something nobody wanted. That is the whole point of demand research, and it works the same way whether you start on YouTube, in a keyword tool, or in Google's search box. For the bigger picture, see where online money comes from and how making money online works.

How YouTube demand signals work

There are four signals worth reading. None of them requires paid software.

1. Views relative to channel size

This is the important one, and it is the one beginners miss. A raw view count means nothing until you know the channel's normal range. Open a channel's Videos tab and sort by most popular, then look at the recent uploads. If a channel usually gets around 3,000 views per video and one video sitting there has 90,000, that video overperformed. The topic pulled in far more people than the channel's own audience would explain, which usually means it got picked up by YouTube search and suggestions because a lot of people wanted it.

The opposite is also useful. A giant channel putting up a video that only got a fraction of its usual views is telling you that topic did not land, at least not the way they framed it.

So the question is never "how many views is a lot?" It is "how many views is a lot for this channel?"

2. Search and autocomplete

Click into the YouTube search bar and start typing a topic. The suggestions that drop down are real queries people commonly type. If you sell budgeting help and you type "how to save money," the completions ("on a low income," "fast," "for beginners") are demand phrased in the audience's own words. This is the same technique that works in Google's search box, covered in Google autocomplete and People Also Ask for ideas, and it is worth doing in both places because the phrasing often differs.

You can also run a search and then sort or scan the results for how well the top videos actually match the query. Which brings us to gaps.

3. The comments

The comment section is where viewers tell you what the video did not cover. Read for two things. First, follow-up questions: "but what about X," "how do you do this if Y," "does this still work in 2026." Each one is a topic the video created demand for but did not satisfy. Second, pain points: comments describing what went wrong for them, what they are stuck on, what they tried and hated. Those are the exact words to use in your own content and offers, and they hint at what people would pay to solve.

A video with a lot of "can you make one about..." comments is handing you a content list.

4. Content gaps

A gap is a topic with clear demand and weak supply. You spot it when a search shows high view counts but the videos answering it are old, low quality, off-topic, or from tiny channels that happened to catch a wave. If the best available video on a searched topic is four years out of date or only loosely answers the question, there is room for a better one. High demand plus weak existing content is the most attractive combination you can find, because you are not fighting ten polished videos for the same attention.

Step by step

  1. Pick a broad topic tied to something you could eventually sell or promote. Not "gardening" in the abstract, but a topic where a product or service exists.
  2. Type it into YouTube search and write down every autocomplete suggestion. These are your seed queries.
  3. Search each query and open the channels behind the top results. On each channel's Videos tab, sort by most popular.
  4. Compare each strong video to its channel's norm. Flag the videos that clearly overperformed their channel. Those topics have proven pull.
  5. Read the comments on the overperformers. Collect follow-up questions and pain points in a simple list.
  6. Look for gaps. For your strongest topics, ask whether the best existing video is actually good and recent. If not, mark it.
  7. Sort your list by how much demand you saw and how weak the competition is. The top of that list is what to make first.

A hypothetical worked example

Say you want to promote a beginner photo-editing tool and earn a commission on sign-ups. You type "how to edit photos" into YouTube. Autocomplete suggests "on phone," "like a pro for free," and "for Instagram."

You search "edit photos on phone for free." The top result is from a channel that normally gets around 5,000 views, but this particular video has roughly 200,000 (these numbers are made up to show the method). That gap is a loud signal: the free-phone-editing angle overperformed hard.

You read the comments. Over and over people ask which free app is actually good and complain that the one in the video now hides features behind a subscription. That is a pain point and a follow-up question in one.

You scan the other results and notice the highest-view videos are two to three years old and recommend an app that has since changed its pricing. That is a gap: strong demand, stale supply.

Now you have a plan. Make (or write) something like "the best free phone photo editor in 2026, and the ones that quietly went paid," answer the exact complaint people posted, and point to the tool you actually recommend. The demand told you the topic, the angle, and the objection to handle, all before you made anything.

What beginners get wrong

The most common mistake is chasing raw view counts and ignoring intent. A video with two million views on "satisfying photo edits" is entertainment. The people watching it are not looking to buy an editing tool, they are relaxing. Huge view counts often signal broad curiosity, not buying interest, and building your whole plan around them leads to lots of traffic that never turns into money. A smaller, more specific search like "best photo editor for product photos" has fewer views but far more buying intent behind it.

Views measure attention. They do not automatically measure willingness to pay. Sorting real demand from idle interest is its own skill, and it is worth reading is the demand real: interest vs buying intent before you commit weeks to anything.

The second common mistake is treating one big video as proof. One overperformer might be a fluke or a viral accident. Look for the same topic overperforming across a few different channels before you trust it.

How I would start

I would pick one topic I could realistically sell something around, spend an afternoon running the autocomplete-and-comments loop above, and build a short list of ten specific topics ranked by demand and gap size. I would not try to boil the ocean. Ten well-chosen topics with proven pull is enough to plan a month of content or a set of pages.

Then I would cross-check the best few against a keyword tool to see whether people search the same thing on Google, which is covered in finding demand with keyword and search data. If a topic has demand on both, that is a strong sign. When it is time to turn the list into actual content and offers, turn demand research into content and ads walks through it, and the broader method lives in demand mining: find what people want.

What I would not do

I would not pick topics purely because they had the highest view counts. I would not assume a viral entertainment video means people will buy a related product. I would not build a plan on a single overperforming video without seeing the pattern repeat. And I would not skip the comments, because that is where the specific, sellable problems are hiding in the audience's own words.

If you want a structured way to go from "I found some demand" to an actual plan for content and offers, our free blueprint walks you through turning research like this into something that can make money.

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