Measuring engagement across Vietnam's beauty niche yourself

A platform-wide engagement benchmark is close to useless when you only care about one niche: the gap between industries is wider than the gap between platforms. This article is the method for measuring Vietnam's beauty niche yourself, with a table template. You can run it in an afternoon for about 100 credits.

Why we do not publish a ranking

We do not post a list of channel names with their numbers, for two reasons:

Personal data. A personal ranking by name is something the people named have a right to have deleted under Decree 13/2023/ND-CP, and publishing it creates a record we should not create. See what public data means.

Numbers expire fast. A table published today will be wrong within weeks, and late readers will make decisions on stale figures.

A method does not expire. That is what is worth publishing.

The method, six steps

Step 1 — define the niche by problem keyword, not industry name. "Sunscreen for oily skin" rather than "cosmetics". See finding creators by niche keyword.

Step 2 — build a candidate list. Find creators — 15 credits, 3 pages — with three keywords. About 45 credits.

Step 3 — filter by hand, no credits. Drop anything not posted in 30 days, anything unrelated, anything clearly in another country. Keep 10–12 channels of similar size.

Step 4 — measure each channel. Channel report — 5 credits, 60 most recent videos — for each. About 55 credits.

Step 5 — fill the table. Six columns below.

Step 6 — take medians, not means. One channel with a viral video skews an average.

Total about 100 credits and one afternoon.

The table template

Column	Note
Channel ID	use your own internal ID, no name needed
Follower count	to band by size
Median views	what you actually buy when booking
Engagement rate by views	the same denominator across the whole table
Span of the 45 videos	tells you whether channels compare at all
Absolute interactions per video	median views × rate

The fifth column is the one people skip: a daily channel and a weekly channel both have "60 most recent videos" but cover very different spans. See posting frequency.

Reading the result

Split the table into two or three size bands and take the median within each band. Small channels almost always rate higher, so a single pooled median is not usable for anything.

The number you end up with is your niche's own benchmark, and it is more accurate than any global figure copied from a foreign article. See what counts as a good rate.

How often to repeat

Quarterly. Keep the old table to compare — a whole niche rising or falling is information, and it explains a dip in your own channel that otherwise looks unexplained. See channel engagement dropping.

Every figure is an estimate from public data the platform displays, not the channel's internal analytics.

Frequently asked questions

Are ten channels enough for a median? Enough for a benchmark usable in booking decisions. Not enough to publish as research.

Can this method be used for another niche? Yes. Only the keywords in step 1 change.

Why use internal IDs instead of channel names? Using internal IDs is a good habit: your table does not become a list of individuals you would have to handle under a data request.