When I started publishing gaming videos, I called "gaming" a niche. It was a category. Under it sat walkthroughs, updates, competitive play, reviews, troubleshooting, and entertainment, each with its own viewers.
The more useful question was what I could make repeatedly for a recognizable group of viewers. This is the test I would use before committing a new channel to a topic.
Define the viewer and recurring problem
I begin with a sentence:
I make [type of video] for [specific viewer] who wants [recurring result].
"I make gaming videos" does not guide a publishing decision. "I make update explanations for Hindi-speaking players of one competitive game" gives me a viewer, a format, and a need I can return to.
The sentence can change after testing. For now it keeps the first experiment coherent.
Check whether you can supply the topic
A promising niche is not useful if I can think of only three videos. Before creating a channel, I list 30 possible titles without using keyword tools. That tells me whether I know the audience well enough to recognize its questions.
I group the ideas into recurring formats:
- Beginner explanations
- News or update coverage
- Comparisons
- Troubleshooting
- Challenges or entertainment
- Detailed guides
If every idea depends on a temporary trend, I do not have a channel plan yet.
Separate audience fit from advertiser value
Revenue changes with audience location, season, format, advertiser demand, and other factors. A table of estimated RPM ranges does not tell me whether I can build a trusted audience around a subject.
I make two decisions separately:
- Audience fit: Can I make useful videos repeatedly, and do viewers come back?
- Business fit: If an audience develops, are ads, sponsorships, affiliates, or products relevant?
Choosing by estimated RPM alone can push a creator into subjects where they have little experience. That makes original production harder and can cost trust.
Study demand without copying competitors
I read search suggestions, comments, forums, and existing videos to find questions that are not answered well. I look for gaps such as:
- An explanation that assumes too much prior knowledge
- Advice that is outdated after a product or game update
- A regional or language need that is underserved
- A comparison that lacks a practical test
- A workflow that is described without showing the steps
The goal is to add something I can demonstrate, not to rewrite the current top result.
Run a small publishing experiment
The image above is a planning illustration. It is not a rule about how many videos every creator must publish.
For an initial test, I would publish a manageable group of videos around the same viewer need. Each upload should change one useful thing, such as format, depth, or question type, while keeping the channel promise recognizable.
I would record:
| Signal | Question it helps answer |
|---|---|
| Topic ideas remaining | Can I continue without repeating myself? |
| Search terms and comments | Are viewers asking the questions I expected? |
| Returning viewers | Does the experiment create an audience for the next upload? |
| Production time | Can I maintain the required research and editing? |
| Retention moments | Which sections actually help or lose viewers? |
| Personal interest | Do I still want to improve at this after the first group? |
Views matter, but they are not enough on their own. A trend can produce a spike without building a repeatable audience.
Decide whether to narrow, continue or change
After the test, I would pick one of three actions.
Narrow
This fits when one viewer problem keeps producing better questions, stronger return behavior, or a clearer production advantage.
Continue
This fits when results are mixed but the audience and topic still make sense. Fix the weakest part of the workflow and run another comparable group.
Change direction
This fits when producing the videos is unsustainable, the audience need is unclear, or the work requires expertise I cannot responsibly provide.
A change is easier for viewers to follow when the new direction stays connected to the same viewer. Moving from game updates to game tutorials is a smaller step than moving from gaming to personal finance.
What I learned from my own channel
On my gaming channel, the best long-term decisions came from understanding what returning viewers expected. Picking the category with the highest estimated advertising rate did not help as much.
Interest was not enough. I needed a repeatable way to find questions, make the videos, and improve them from analytics. A niche is a subject plus a way of working that lets me keep producing useful videos.
A one-page decision worksheet
Before committing, I answer:
- Who is the specific viewer?
- What repeated problem or experience will the channel address?
- What firsthand knowledge can I demonstrate?
- Can I list 30 distinct video ideas?
- What will my videos add beyond existing results?
- What evidence will decide whether the test worked?
- Can I maintain the research and production schedule?
- Which adjacent direction would make sense if the first test fails?
If several answers are vague, do more research before creating branding around the idea.
Evidence and limitations
This framework comes from my experience building a gaming channel and YTKits. I have not tested it as a controlled study across every YouTube category. The illustrations are planning aids, not measured growth.
Use YouTube Studio to evaluate your own audience. YTKits' keyword tool can summarize recurring terms in public video metadata, and the category checker can inspect public video categories. Neither tool can determine whether a niche will succeed or reveal another creator's private analytics.
Sources and further reading
- Get started with YouTube Analytics: the reports that show whether viewers return
- YouTube Data API: videos.list: public metadata used in topic research
- YouTube Creator resources: official guidance on audience and channel growth
- Impressions and click-through rate FAQs: why a view spike is not the same as a repeat audience