Rutube

Section: Video platforms · rt

Rutube uses the same video-focused approach: PPD, engagement medians, and totals for views/likes/comments. Verification and recency of the latest upload help interpret channel quality.

What this page includes

A metric table, worked examples, and short platform-specific notes.

How to read the examples

All numbers are illustrative. They are here to explain the formula, not to describe a specific account.

Which metrics this page shows

Metric	Key	Type	How to read it
Rutube subs	`rt_count`	Count	A direct count without extra recalculation.
Rutube videos	`rt_videos`	Count	A direct count without extra recalculation.
Total views	`rt_total_views`	Count	A direct count without extra recalculation.
Publication rate	`rt_ppd`	Posting rate	How many publications come out per day on average within the selected period.
VR (median)	`rt_VR_median`	Percent	Typical value across publications: the median.
Like rate (median)	`rt_LR_median`	Percent	Typical value across publications: the median.

Example: cadence and median calculation

For video platforms, posting frequency and typical per-video metrics are usually the most important. Below is a sample calculation.

Inputs

Period: 28 days
Videos: 10

Calculation steps

Publication rate
10 / 28
= 0.36 videos/day
Rutube median views
median([12000, 15000, 18000, 26000, 34000])
= 18000
Comment rate (median)
median([0.10, 0.13, 0.17, 0.20, 0.24])
= 0.17%
Total views of the set
Sum of views across all videos included in the analysis
= 280 000 views

If there are no valid values for a median, dstat returns an empty field rather than a fake 0%.

Platform-specific nuances

The key public set is rt_ppd, rt_views_median, rt_total_views, rt_total_likes, and rt_total_comments.
rt_CR_median is the median comment rate, while totals describe the overall signal volume for the period.
If videos have not been published for a while, time_since_last_upload and upload_consistency explain that low activity is a posting frequency issue, not only a quality issue.