2026 category profile · Tech & Science
Are tech YouTube comments mostly questions or purchase research?
The tech profile is the most question-heavy of the eight content groups. Its question mix also has an unusually visible product, price, or purchase layer. That combination changes the best workflow: a creator can treat a comment as both a support request and a buying signal, while still checking the exact product, version, and use case before replying.
A useful answer needs more than a generic thank-you. Separate setup problems, comparison questions, and buying questions into different reply paths. A short answer that names the relevant model or timestamp is often more useful than sending every question through one template.
At a glance
Tech & Science YouTube comment statistics
These are the measures most useful for deciding what to answer, what to moderate, and what to investigate next. The details under each card state the denominator.
1,296
Channels in this profile
Broad-sample channels assigned to this content group
17.6%
Questions
Share of weighted sampled comments classified as real questions
11.6%
Creator reply rate
Matured sampled comments with a visible creator reply
79.6%
Questions unanswered
Matured real questions with no observed creator reply
4.4%
Hostile comments
Share of weighted sampled comments with a hostile stance label
15.5 words
Average comment length
Average words per sampled comment in the profile
70%
English comments
Comments assigned English by the study's language classifier
2.12%
Buying or business
Share of weighted sampled comments with a commercial signal
Category comparison sample: 82,111 sampled comments. Rates are rounded and remain separate from the study's creator-business sample.
What viewers are doing
The shape of a Tech & Science comment section
A category benchmark becomes useful when it names the work hidden inside the word “engagement.” These distributions show what the sampled comments were doing and how the questions were framed.
Distribution
What comments are doing
Primary function of each sampled comment
| Measure | Share |
|---|---|
| Thanks or reaction | 26.4% |
| Discussion or debate | 21.1% |
| Asking for information | 15.2% |
| Other | 9.7% |
| Feedback or correction | 9.7% |
| Personal story or result | 5.6% |
| Request for the creator | 4.2% |
| Insult or attack | 3.4% |
| Spam or self-promotion | 2.1% |
| Buying or business request | 2.1% |
| Talking with other viewers | 0.4% |
Denominator: sampled comments represented by the Tech & Science category row (82,111); shares are weighted within channels.
Distribution
What real questions ask
Question type among the profile's real questions
| Measure | Share |
|---|---|
| How-to or troubleshooting | 23.8% |
| Other | 21.1% |
| Product, price, or purchase | 15.6% |
| Gear or source | 12.8% |
| Clarification | 10.5% |
| Opinion or discussion | 8.8% |
| Topic request | 3.9% |
| Personal or creator | 3.4% |
Denominator: real questions only. This is not the share of all comments.
Distribution
What creator replies look like
Style among creator replies the study could read
| Measure | Share |
|---|---|
| Substantive | 44.9% |
| Brief acknowledgment | 27.4% |
| Generic template | 23.1% |
| Other | 3.9% |
| Defensive or hostile | 0.7% |
Denominator: creator replies that arrived and could be classified.
Use the benchmark carefully
What this pattern means for your workflow
Commercial share is the share of sampled comments classified as a buying or business request. The question mix is separate: it describes the kinds of real questions, including product and purchase questions, and its denominator is questions only. The two percentages answer different questions.
01
Split support from buying questions
A troubleshooting request needs a precise fix; a purchase question needs current, disclosed information. Give each one its own review rule and response template.
02
Answer comparisons with a reason
When viewers ask which device, tool, or setup to choose, explain the deciding constraint. A useful comparison earns more trust than a bare recommendation.
03
Escalate version-sensitive claims
Software releases, prices, and compatibility change. Hold any automated answer that depends on current facts for a human check before it posts.
Compare the eight groups
Where Tech & Science sits in the category set
The comparison is here to prevent a single category number from becoming a universal goal. Select another group to read its own profile and interpretation.
| Content group | Questions | Hostile | Creator reply | Unanswered questions |
|---|---|---|---|---|
| Education & How-To | 13.5% | 4.2% | 16.2% | 77.3% |
| Tech & Science | 17.6% | 4.4% | 11.6% | 79.6% |
| Gaming | 12.1% | 4.5% | 10.2% | 82.5% |
| Lifestyle & Interests | 10.4% | 5% | 14% | 75.9% |
| People & Vlogs | 9.4% | 5.4% | 7.7% | 86.4% |
| Entertainment & Comedy | 8.3% | 6.1% | 8.1% | 83.3% |
| News & Commentary | 7.1% | 18% | 4.5% | 89.7% |
| Music | 6.9% | 3.4% | 9% | 83.8% |
Source: broad channel sample and recent comments. This table keeps the eight category rows together; it does not create unsupported category-by-subscriber-size estimates.
Make it personal
Compare the benchmark with your own channel
Category averages are context. A free CommentShark audit shows the unanswered questions, high-intent conversations, and audience tone on a real public channel. No signup is needed to start.
Read the denominator
How this Tech & Science benchmark was built
What the profile covers
This row comes from the broad channel sample in The YouTube Comment Report 2026. The study collected public comments from channels found through search, screened the channels as mostly English, and assigned each channel to the most common YouTube category in its recent uploads.
The profile includes 1,296 channels and 82,111 sampled comments in the category comparison. The comment count is a sample base, not the number of comments ever posted on those channels.
How to read each rate
Question, stance, language, comment function, and reply style are model-coded estimates. Reply rate and unanswered-question rate use comments and questions that were at least seven days old, from channels with enough captured history. Reply style describes the replies that arrived, so it is not another reply-rate measure.
Numbers are rounded. A category result describes this study's sample and cannot be treated as a census of YouTube or as a cause of channel growth.
Source: the immutable study snapshot collected August 19–22, 2026. Read the full methodology and limitations.
Questions creators ask
Tech & Science YouTube comment benchmark FAQ
What is the tech YouTube question rate in the study?
The tech and science profile's question rate is shown in the benchmark cards above. It is the share of sampled comments classified as real questions, after weighting the comment sample within channels.
Do tech YouTube comments show buying intent?
Yes. Buying or business requests are a larger share of the tech profile than in several other categories, and product, price, or purchase questions are a distinct part of its question mix.
Does a tech comment benchmark predict sales?
No. A buying-intent comment is a conversation signal, not a sale or a forecast. The study measures public comments and creator replies; it does not connect them to a channel's revenue.
More category profiles
Explore YouTube comment benchmarks by category
- Education & How-To
- Tech & Science
- Gaming
- Lifestyle & Interests
- People & Vlogs
- Entertainment & Comedy
- News & Commentary
- Music
The parent YouTube Comment Report includes the full dataset context, study chapters, citation, and limitations.